We are excited to share that Microsoft has been named a Leader in The Forrester Wave™: Extended Detection and Response Platforms, Q2 2026. Microsoft ranked the highest of any vendor evaluated in the Strategy category and is the only vendor to receive the highest score in Vision. Microsoft also received the highest possible scores across the current offering criteria of identity detection, cloud detection, SIEM replacement, Threat Intelligence, Threat hunting, Administrative controls, and Training.

In the report, Forrester writes that “Microsoft articulates a compelling vision to build a Frontier approach to security, bringing people and AI together while the platform continuously shields against and disrupts attacks.”

A new frontier for XDR

That recognition reflects how Microsoft sees the next phase of XDR evolution. As cyberattackers use AI to scale and accelerate their campaigns, defenders need more than correlated signals. They need a system that brings together data, people, and workflows so security can operate with the same speed and coordination.  

At Microsoft, XDR is that foundation. It connects signals across identities, endpoints, email, software as a service (SaaS) apps, and cloud workloads into a shared layer of context bringing together the signals, workflows, and actions security runs on. 

That foundation extends directly into how protection and operations are delivered. Microsoft Defender’s native capabilities continuously shield against attacks with built-in, system-level defenses, while embedded agents help triage alerts, hunt for threats, and deliver intelligence in the flow of work. The result is a shift from fragmented response to coordinated, system-level defense—where decisions, actions, and protection move together by default.

Attack disruption is one of the clearest expressions of that vision today. It uses cross-domain signals and AI to stop multi-stage cyberattacks like ransomware and adversary-in-the-middle attacks while they are active and unfolding.

Forrester specifically notes attack disruption in the report, “As well as its roadmap, it (Microsoft) has built unique features, like automatic attack disruption, to help deliver on its vision.”

World-class threat intelligence at the core

Threat intelligence is a brand-new evaluation criterion in this Wave and Microsoft earned the highest possible score. This reflects a broader shift: intelligence is no longer a bolt-on, but fundamental to how modern XDR platforms detect, prioritize, and disrupt cyberattacks.

Microsoft Threat Intelligence is built on a broad vantage point, analyzing 100 trillion signals each day. That intelligence is delivered directly into the analyst experience, which provides context on threat actors: their motivations and tactics appear inside incidents, alongside affected assets, and tied to response actions.

The intelligence is built into detections, attack disruption, hunting, and AI that helps analysts make sense of what they’re seeing. It’s also continuously informed by Microsoft’s global security research teams tracking nation-state actors, ransomware groups, and emerging cyberthreats, which brings frontline insight directly to defenders.

Innovation that reinforces continued leadership

We believe Microsoft’s ranking as a leader in this report is a reflection of the pace of innovation across the Defender portfolio over the past year. Highlights include:

Adaptive defense to contain active attacks: Attack disruption now expands autonomous protection to predict and shield against a threat actor’s next move during active cyberattacks. It acts just in time to defend against common attacker tactics such as group policy objects (GPOs), Safeboot, and identity compromise, with new controls that now include device isolation.

Native protection across cloud, identity, and SIEM: Microsoft delivers differentiated protection across cloud and identity by natively harnessing signals from Azure and Microsoft 365 coverage. Combined with Microsoft Sentinel’s powerful security information and event management (SIEM) and threat hunting capabilities, this foundation goes beyond detection, enabling disruption of attacks directly within the SOC for critical data sources including Amazon Web Services (AWS), Okta, and Proofpoint, fundamentally turning your SIEM into a threat protection solution. 

Microsoft Security Copilot alert triage agent: Security Copilot agents in Defender help security operations center (SOC) teams investigate faster, automate response, and prioritize high-risk cyberthreats. Microsoft recently extended the Security Copilot alert triage agent to cloud and identity, extending assistive and autonomous AI to two of the most critical attack surfaces security teams defend every day. By helping analysts triage alerts faster, surface high-value context, and move more quickly from signal to action, these new capabilities strengthen the SOC where speed and precision matter most. That momentum reinforces that Microsoft received the highest possible scores in both identity detection and cloud detection.

Securing local AI agents: Microsoft recently announced endpoint security for local AI agents at Microsoft Build 2026. Defender helps security teams gain visibility into AI agents running on devices, assess exposure across identities and resources, block malicious activity in real time, and investigate agent activity through Advanced Hunting.

What this recognition means for our customers

Being named a Leader in The Forrester Wave™: Extended Detection and Response Platforms, Q2 2026 reinforces Microsoft’s commitment to helping defenders stay ahead of modern cyberattacks. We believe this recognition reflects the strength of our vision, the breadth of our protection across identities, endpoints, email, cloud, and applications, and our continued investment in bringing people and AI together in the SOC.

As the threat landscape continues to evolve, we remain focused on helping customers investigate faster, respond more effectively, and strengthen their security operations with an integrated platform built for today’s cyberattacks.

Learn more

• Access the full Forrester Wave™ report to read the full analysis behind Microsoft’s positioning as a Leader.
• Learn more about Microsoft Defender.
• Try Microsoft Defender today with a free trial.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester’s objectivity here .  

The post ​​Forrester names Microsoft a Leader in the 2026 Extended Detection and Response Platforms Wave™ report appeared first on Microsoft Security Blog.

As threats become more coordinated and faster to execute, endpoint protection has become the proving ground for modern defense. For the seventh consecutive time, Microsoft has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection. We believe this reflects both the strength of our technology, and the trust customers place in Microsoft Defender. 

Microsoft Defender delivers industry-leading Endpoint Detection and Response (EDR), powered by global threat intelligence and built for the scale and speed of today’s attacks. For many of our customers, Defender’s endpoint capabilities are the foundation for a coordinated system of defense that spans endpoints, identities, email, apps, cloud, and data.

Bringing these signals together changes what’s possible. It enables earlier detection, stronger prevention, and capabilities like predictive shielding that help stop attacks before they spread. This is the shift underway in security: from isolated tools to a connected system that can see across the environment, understand what’s changing, and take action in real time. It’s what makes the next generation of AI-driven, agentic security possible and helps defenders stay ahead of threats, not just respond to them.

Sustained innovation to stay ahead of changing threats

Over the past year, Microsoft has introduced key advancements to endpoint protection that have empowered defenders to stay ahead of evolving cyberthreats, including:

Proactive defense during attacks: Attack disruption now expands autonomous protection to predicting and blocking an adversary’s next move during active attacks. It acts just in time to harden against some of the most common attacker tactics, such as group policy objects (GPOs), Safeboot, and identity compromise, to stop lateral movement and defend dynamically.

Custom telemetry: With new custom data collection capabilities, Defender makes it easy for security teams to collect specialized data directly within the Defender portal. It allows organizations to extend their endpoint telemetry beyond the 200+ default signals to support tailored detections and advanced hunting scenarios, such as AMSI for hunting over script content and Kerberos for auth-based and network attacks.

Simplified onboarding: To help security teams onboard simply and securely, we’ve built new Defender deployment tools for Windows and Linux, which handle the entire process for you. Just download a single package and it will dynamically adapt to the operating system, take care of prerequisites, and install the latest version of Defender available as needed for older devices that don’t have it already built in. The Defender deployment tools eliminate friction, automate tricky steps, and provide predictability throughout the onboarding journey.

Sovereign-ready protection: Defender enables customers to meet data storage and privacy needs while operating under public, sovereign, hybrid, or disconnected models. Its multi‑tenant architecture enables organizations to balance centralized security visibility with localized control over their data, reflecting a shift from basic compliance to operational governance.

End-to-end security for local AI agents: Microsoft announced agentic endpoint security as a part of A365 to discover, govern, and block AI agents such as OpenClaw and previously unseen applications running locally on endpoints.

Innovations such as these represent the continued commitment to drive the next wave of innovation. Stay tuned for more exciting advancements at Microsoft Build on June 2^nd.

Learn more

If you’re not yet taking advantage of Microsoft’s leading endpoint security solution, visit Microsoft Defender for Endpoint and start a free trial today to evaluate our leading endpoint protection platform. 

Are you a regular user of Microsoft Defender for Endpoint? Share your insights on Microsoft Defender for Endpoint and get rewarded with a $25 gift card on Gartner Peer Insights™.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

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Gartner, Magic Quadrant for Endpoint Protection, Deepak Mishra, Evgeny Mirolyubov, Nikul Patel, 26 May 2026.

Gartner is a registered trademark and service mark and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. 

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

The post Microsoft is named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection appeared first on Microsoft Security Blog.

As threats become more coordinated and faster to execute, endpoint protection has become the proving ground for modern defense. For the seventh consecutive time, Microsoft has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection. We believe this reflects both the strength of our technology, and the trust customers place in Microsoft Defender. 

Microsoft Defender delivers industry-leading Endpoint Detection and Response (EDR), powered by global threat intelligence and built for the scale and speed of today’s attacks. For many of our customers, Defender’s endpoint capabilities are the foundation for a coordinated system of defense that spans endpoints, identities, email, apps, cloud, and data.

Bringing these signals together changes what’s possible. It enables earlier detection, stronger prevention, and capabilities like predictive shielding that help stop attacks before they spread. This is the shift underway in security: from isolated tools to a connected system that can see across the environment, understand what’s changing, and take action in real time. It’s what makes the next generation of AI-driven, agentic security possible and helps defenders stay ahead of threats, not just respond to them.

Sustained innovation to stay ahead of changing threats

Over the past year, Microsoft has introduced key advancements to endpoint protection that have empowered defenders to stay ahead of evolving cyberthreats, including:

Proactive defense during attacks: Attack disruption now expands autonomous protection to predicting and blocking an adversary’s next move during active attacks. It acts just in time to harden against some of the most common attacker tactics, such as group policy objects (GPOs), Safeboot, and identity compromise, to stop lateral movement and defend dynamically.

Custom telemetry: With new custom data collection capabilities, Defender makes it easy for security teams to collect specialized data directly within the Defender portal. It allows organizations to extend their endpoint telemetry beyond the 200+ default signals to support tailored detections and advanced hunting scenarios, such as AMSI for hunting over script content and Kerberos for auth-based and network attacks.

Simplified onboarding: To help security teams onboard simply and securely, we’ve built new Defender deployment tools for Windows and Linux, which handle the entire process for you. Just download a single package and it will dynamically adapt to the operating system, take care of prerequisites, and install the latest version of Defender available as needed for older devices that don’t have it already built in. The Defender deployment tools eliminate friction, automate tricky steps, and provide predictability throughout the onboarding journey.

Sovereign-ready protection: Defender enables customers to meet data storage and privacy needs while operating under public, sovereign, hybrid, or disconnected models. Its multi‑tenant architecture enables organizations to balance centralized security visibility with localized control over their data, reflecting a shift from basic compliance to operational governance.

End-to-end security for local AI agents: Microsoft announced agentic endpoint security as a part of A365 to discover, govern, and block AI agents such as OpenClaw and previously unseen applications running locally on endpoints.

Innovations such as these represent the continued commitment to drive the next wave of innovation. Stay tuned for more exciting advancements at Microsoft Build on June 2^nd.

Learn more

If you’re not yet taking advantage of Microsoft’s leading endpoint security solution, visit Microsoft Defender for Endpoint and start a free trial today to evaluate our leading endpoint protection platform. 

Are you a regular user of Microsoft Defender for Endpoint? Share your insights on Microsoft Defender for Endpoint and get rewarded with a $25 gift card on Gartner Peer Insights™.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

---

Gartner, Magic Quadrant for Endpoint Protection, Deepak Mishra, Evgeny Mirolyubov, Nikul Patel, 26 May 2026.

Gartner is a registered trademark and service mark and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. 

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

The post Microsoft is named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection appeared first on Microsoft Security Blog.

Security operations are entering a new phase. As attack techniques grow faster and more complex, the effectiveness of a SOC depends less on collecting more data and more on how well platforms can turn context into action at scale.

KuppingerCole Analysts’ 2026 Emerging AI Security Operations Center (SOC) reflects this shift clearly: the future of security automation is not defined by static rules or isolated workflows, but by intelligence‑driven automation that supports analyst decision‑making across the full security lifecycle. This evolution mirrors what many security leaders already experience day to day, that the limiting factor is no longer alert volume, but human capacity.

Microsoft is excited to be named an Overall Leader, and the Market Leader, in this report, as we see automation as a core component of the future of cybersecurity.

From playbook‑driven SOAR to intelligence‑led automation

Traditional security orchestration, automation, and response (SOAR) solutions were built to automate predictable, repeatable tasks: enrichment steps, ticket creation, notifications, and predefined containment actions. These capabilities remain valuable, but they were designed for an era when incidents followed more deterministic patterns.

This is a critical change. In many SOCs today, analysts still spend significant time:

• Stitching together context across alerts and data sources.
• Manually triaging incidents that turn out to be benign.
• Following repetitive investigation and response steps.

The result is slower response times and analyst burnout—at exactly the moment attackers are moving faster and operating more quietly.

Automation built into the analyst experience

Microsoft has evolved the way these common challenges can be addressed, leveraging machine learning, large language models (LLMs), and agents, including releases such as:

• Automatic attack disruption: An always-on capability that limits lateral attackers and reduces the overall impact of an attack, from associated costs to loss of productivity, leaving security operations teams in complete control of investigating, remediating, and bringing assets back online.
• Phishing triage agent: An agent that runs sophisticated assessments—including semantic evaluation of email content, URL and file inspection, and intent detection—to determine whether a submission is a true phishing threat or a false alarm.
• AI powered incident prioritization: A machine learning prioritization model to surface the incidents that matter most, assigning each incident a priority score from 0–100 and explaining the key factors behind the ranking. 
• Playbook generator: An experience that allows users to create python-code playbooks using natural language for flexible workflow automation.

These capabilities are just the beginning of how we are introducing agents and automation to help users move faster, freeing analysts to focus on higher‑value tasks like proactive hunting and threat analysis.

The next evolution: The agentic SOC

The KuppingerCole report reinforces a broader industry trend, that security platforms must do more than automate pre‑defined workflows. They must support adaptive, intelligence‑driven operations that can respond to novel and fast‑moving threats.

This is where Microsoft is making its next set of investments: agentic security operations.

With innovations such as the Microsoft Sentinel MCP (Model Context Protocol) Server, shared security data and graph context, and deep integration with Microsoft Security Copilot, Sentinel is evolving into a platform where AI agents can:

• Reason across identity, endpoint, cloud, and network signals.
• Summarize incidents and investigations in natural language.
• Assist with decision‑making by correlating weak signals over time.
• Take action—with human oversight—when confidence thresholds are met.

These agents are designed to work alongside analysts, augmenting expertise and dramatically accelerating time to response.

Why this matters for security teams

The direction highlighted by KuppingerCole, and reflected in Microsoft’s roadmap, isn’t about chasing AI for its own sake. It’s about addressing real SOC pain points:

• Scale: Human‑only operations don’t scale with modern attack surfaces.
• Consistency: Automated and agent‑assisted workflows reduce variance and errors.
• Speed: Faster reasoning and response directly reduce attacker dwell time.

By combining automation, rich context, and intelligent agents, Microsoft Sentinel helps SOC teams move from reactive alert handling to proactive, intelligence‑led defense without forcing teams to re‑architect their operations overnight.

Looking ahead

Security automation is no longer a bolt‑on capability. As KuppingerCole’s research makes clear, it is becoming a foundational element of modern security operations. The evolution of SOAR reflects the reality of a shift from static playbooks to adaptive, context‑aware assistance that scales human expertise.

Microsoft is investing accordingly, advancing an AI‑first approach to security analytics that helps SOC teams operate with greater speed, confidence, and resilience as threats continue to evolve. Read the Emerging AI Security Operations Center (SOC) report to learn more.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

The post ​​Microsoft named an overall leader in KuppingerCole Analyst’s 2026 Emerging AI Security Operations Center (SOC) report ​​ appeared first on Microsoft Security Blog.

Security operations are entering a new phase. As attack techniques grow faster and more complex, the effectiveness of a SOC depends less on collecting more data and more on how well platforms can turn context into action at scale.

KuppingerCole Analysts’ 2026 Emerging AI Security Operations Center (SOC) reflects this shift clearly: the future of security automation is not defined by static rules or isolated workflows, but by intelligence‑driven automation that supports analyst decision‑making across the full security lifecycle. This evolution mirrors what many security leaders already experience day to day, that the limiting factor is no longer alert volume, but human capacity.

Microsoft is excited to be named an Overall Leader, and the Market Leader, in this report, as we see automation as a core component of the future of cybersecurity.

From playbook‑driven SOAR to intelligence‑led automation

Traditional security orchestration, automation, and response (SOAR) solutions were built to automate predictable, repeatable tasks: enrichment steps, ticket creation, notifications, and predefined containment actions. These capabilities remain valuable, but they were designed for an era when incidents followed more deterministic patterns.

This is a critical change. In many SOCs today, analysts still spend significant time:

• Stitching together context across alerts and data sources.
• Manually triaging incidents that turn out to be benign.
• Following repetitive investigation and response steps.

The result is slower response times and analyst burnout—at exactly the moment attackers are moving faster and operating more quietly.

Automation built into the analyst experience

Microsoft has evolved the way these common challenges can be addressed, leveraging machine learning, large language models (LLMs), and agents, including releases such as:

• Automatic attack disruption: An always-on capability that limits lateral attackers and reduces the overall impact of an attack, from associated costs to loss of productivity, leaving security operations teams in complete control of investigating, remediating, and bringing assets back online.
• Phishing triage agent: An agent that runs sophisticated assessments—including semantic evaluation of email content, URL and file inspection, and intent detection—to determine whether a submission is a true phishing threat or a false alarm.
• AI powered incident prioritization: A machine learning prioritization model to surface the incidents that matter most, assigning each incident a priority score from 0–100 and explaining the key factors behind the ranking. 
• Playbook generator: An experience that allows users to create python-code playbooks using natural language for flexible workflow automation.

These capabilities are just the beginning of how we are introducing agents and automation to help users move faster, freeing analysts to focus on higher‑value tasks like proactive hunting and threat analysis.

The next evolution: The agentic SOC

The KuppingerCole report reinforces a broader industry trend, that security platforms must do more than automate pre‑defined workflows. They must support adaptive, intelligence‑driven operations that can respond to novel and fast‑moving threats.

This is where Microsoft is making its next set of investments: agentic security operations.

With innovations such as the Microsoft Sentinel MCP (Model Context Protocol) Server, shared security data and graph context, and deep integration with Microsoft Security Copilot, Sentinel is evolving into a platform where AI agents can:

• Reason across identity, endpoint, cloud, and network signals.
• Summarize incidents and investigations in natural language.
• Assist with decision‑making by correlating weak signals over time.
• Take action—with human oversight—when confidence thresholds are met.

These agents are designed to work alongside analysts, augmenting expertise and dramatically accelerating time to response.

Why this matters for security teams

The direction highlighted by KuppingerCole, and reflected in Microsoft’s roadmap, isn’t about chasing AI for its own sake. It’s about addressing real SOC pain points:

• Scale: Human‑only operations don’t scale with modern attack surfaces.
• Consistency: Automated and agent‑assisted workflows reduce variance and errors.
• Speed: Faster reasoning and response directly reduce attacker dwell time.

By combining automation, rich context, and intelligent agents, Microsoft Sentinel helps SOC teams move from reactive alert handling to proactive, intelligence‑led defense without forcing teams to re‑architect their operations overnight.

Looking ahead

Security automation is no longer a bolt‑on capability. As KuppingerCole’s research makes clear, it is becoming a foundational element of modern security operations. The evolution of SOAR reflects the reality of a shift from static playbooks to adaptive, context‑aware assistance that scales human expertise.

Microsoft is investing accordingly, advancing an AI‑first approach to security analytics that helps SOC teams operate with greater speed, confidence, and resilience as threats continue to evolve. Read the Emerging AI Security Operations Center (SOC) report to learn more.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

The post ​​Microsoft named an overall leader in KuppingerCole Analyst’s 2026 Emerging AI Security Operations Center (SOC) report ​​ appeared first on Microsoft Security Blog.

Choose an ecosystem partner for agent security and governance

AI agents aren’t coming—they’re already in your environment. They show up in places you expect (like Microsoft Copilot, Microsoft Teams, and Microsoft 365) and even more places as technology evolves (a local autonomous personal AI assistant or a new software as a service (SaaS) agent connected to your sensitive data.)

The problem isn’t that agents exist. It’s that they proliferate fast, span apps, endpoints and cloud, and often operate outside the visibility and control of the teams accountable for risk. When an agent can invoke tools, access data, and interact with other agents, any “helpful” workflow can turn into data oversharing, tool misuse, or over-privileged actions in seconds. And as agents become even easier to create and deploy, your attack surface grows with them. 

That’s why end-to-end observability matters: you can’t govern what you can’t see, and you can’t secure what you don’t understand—especially when the number of agents is a moving target. 

Microsoft Agent 365 helps you take control of agent sprawl as your control plane to observe, govern, and secure agents and their interactions—including agents built with Microsoft AI and agents from our ecosystem partners—using the admin and security workflows your teams already run. 

General availability starts today for Agent 365.

Additionally, we’re announcing the previews of new Agent 365 capabilities and integrations to help you scale agent adoption with the right controls in place. 

• Observability, governance, and security for agents operating independently—Agent 365 is expanding to cover agents that operate with their own credentials and permissions.
• Discovery of agents and shadow AI, using capabilities of Microsoft Defender and Microsoft Intune for both local and cloud agents.
• A secured, managed environment for agents to work in Windows 365 for Agents.
• Coverage for a wide ecosystem of SaaS agents, including agents innovated by software development companies (SDCs).
• Support for evaluation, adoption, and usage from Microsoft and ecosystem partners worldwide.

Manage agents with a single control plane, regardless of how or where they work

As organizations move from pilot to adoption, AI agents are being deployed across increasingly diverse use cases. Some act with delegated access, working on behalf of users; others operate with their own credentials and permissions, participating in team workflows or operating behind the scenes. 

With Agent 365, you can observe, govern, and secure AI agents whether they act on behalf of users with delegated access—for example, an agent that helps employees organize their inbox—or agents that operate with their own access and scope of work—such as an agent autonomously triaging support tickets. 

	Supported by Agent 365
Agents working on behalf of users (delegated access)  Generally available	Agents operating behind the scenes (own access)  Generally available	Agents participating in team workflows (own access)  Public Preview

Discover and manage local and cloud-hosted agents 

Users are installing agents like OpenClaw and Claude Code on their devices and adopting SaaS agents built by developers on new and emerging platforms. Many of these local and cloud-hosted agents run unmanaged and outside of traditional governance, as they autonomously execute tasks, modify code, or access confidential information, creating a new wave of shadow AI.  

To help organizations address accelerating agent sprawl and the rise of unmanaged agents, we’re introducing new capabilities as part of Agent 365, Microsoft Defender, and Intune so you can discover shadow agents, and apply appropriate controls, such as blocking unmanaged agents. 

Discover and manage local agents

With Microsoft Defender and Intune, organizations will be able to discover and manage local AI agents running on Windows devices, starting with OpenClaw agents and expanding soon to other widely used agents like GitHub Copilot CLI and Claude Code. Customers enrolled in the Frontier program can see if OpenClaw agents are being used in the organization, which devices they are running on, and use Intune policies to block common ways that OpenClaw runs on the new Shadow AI page in Agent 365 in the Microsoft 365 admin center and in the Intune admin center. Through Agent 365 registry, the inventory of local agents will be available in Defender and Intune so IT, endpoint management, and security teams can get a consistent view of discovered local agents in their environment and take appropriate action.

Starting in June 2026, Microsoft Defender will also provide asset context mapping for each agent including the devices they run on, MCP servers configured for those agents, the identities associated with them, and the cloud resources those identities can reach. This will give security teams the context needed to assess exposure and potential blast radius. They can then investigate agent activity, such as file access and network behavior, using familiar endpoint data, and use those insights to identify misconfigurations and even define custom detections.

Beyond monitoring, organizations will be able to apply policy-based controls to set guardrails for what agents are allowed to do—helping protect both agents and organizations from compromise and misuse—with initial support delivered for OpenClaw through Intune. If a managed agent exhibits malicious behavior patterns, such as attempting to access or exfiltrate sensitive data, Defender will be able to block coding agents in runtime and generate alerts with rich incident context to support investigation and response.  

Context mapping capabilities, policy-based controls, plus runtime blocking and alerts will be available in Agent 365 through Intune and Defender public preview in June 2026. 

Visibility across clouds and AI-builder platforms

As developers are rapidly building agents with Microsoft Foundry, AWS Bedrock, and Google Gemini Enterprise Agent Platform (formerly Google Vertex AI) and deploying cloud agents across multicloud and multi-platform environments, the agent sprawl challenge intensifies. To manage potential security risks or vulnerabilities before they become breaches, security and IT teams need visibility to which cloud agents are running, what models these agents are built on, and what resources they’re accessing.

Today, we are excited to announce the public preview of Agent 365 registry sync with AWS Bedrock and Google Cloud connections, enabling IT teams to automatically discover, inventory, and, soon, perform basic lifecycle governance—for example, start, stop, delete agents—across these platforms.

Manage a wide ecosystem of SaaS agents 

Agent 365 works with prebuilt agents in Microsoft 365 Copilot and Teams, agents built with Microsoft Copilot Studio or Microsoft Foundry for your organization, and agents built by software development companies partnered with Microsoft.

Delivering on our promise of control plane for the broad agent ecosystem, we’re excited to announce ecosystem partner agents fully configured to be managed by Agent 365, including Genspark, Zensai, Egnyte, and Zendesk, and agents built on agent factories, including Kasisto, Kore, and n8n. Organizations can observe, govern, and secure these agents in the Agent 365 control plane, with no integration work by IT or security teams.  

Agent 365 software development company launch partners

Enterprises can easily build AI agents today, but scaling them with trust and governance is where most initiatives stall. With Kore.ai deeply integrated into Microsoft Agent 365, identity, security, and governance are built in from the start—empowering enterprises to move from pilots to AI at scale with confidence.

—– Raj Koneru, Chief Executive Officer of Kore.ai

The Agent 365 developer and ecosystem partners play a critical role in extending agents into line-of-business systems, building vertical and scenario-specific integrations, modernizing legacy automation into agent workflows, extending Copilot experiences with custom agents, and helping customers operationalize agent ecosystems at scale. These Agent 365 enabled agents are then observable, governable, and securable in the Agent 365 control plane, accelerating adoption for your organization.

• Explore the Agent Showcase of ecosystem partner agents that work seamlessly with Agent 365.
• Get started with Agent 365 development with guidance from Microsoft Learn.

Secure agents as they work in Windows 365 

While Agent 365 provides the control plane to observe, govern, and secure agent activity across the enterprise, Windows 365 for Agents—now available in public preview (in the United States only)—provides a secured, managed environment where agents can carry out that work. It introduces a new class of Cloud PCs purpose-built for agentic workloads and managed in Intune, allowing agents to run in policy-controlled environments, interact with applications, and operate with the same identity, security, and management controls already used for employees.

Now, with Agent 365, you can also observe and secure agents running on Windows 365 for Agents in Microsoft 365 admin center, understanding which agents are connected to the cloud-powered compute. Together, they enable organizations to move from visibility and governance of agents to confidently running them in production environments. 

Secure agents against internet threats with network controls  

AI agents can operate much faster than human users. Without proper guardrails, they can connect to risky web destinations, interact with unsanctioned AI services, handle sensitive files unsafely, or be manipulated through malicious prompt-based attacks. These risks are harder to manage when security teams lack consistent visibility and controls for agent traffic to internet, SaaS, and AI services. 

To give security teams a consistent way to inspect agent traffic at the network layer, in general availability today, Agent 365 extends Microsoft Entra network controls to Microsoft Copilot Studio agents and agents running on user endpoint devices, including local agents such as OpenClaw. These controls can help identify unsanctioned AI usage, restrict connections to only approved web destinations, filter risky file movement, and help block malicious prompt-based attacks before they lead to harmful actions. 

Confidently scale and govern AI agents while maintaining security and control 

Agent 365 extends even further beyond Microsoft platforms to discover, observe, govern, and secure local, SaaS, and cloud agents across your agentic AI ecosystem. Each of today’s announcements build upon Agent 365 capabilities we shared in March 2026 as well as detailed feedback of customers using the Frontier program, developers integrating with the platform, and partners testing Agent 365 capabilities. 

With Agent 365, we can scale and govern AI agents with confidence, while maintaining enterprise grade security and control. Agent 365 enables organizations to move beyond experimentation, driving tangible business value and innovation through trusted AI adoption. By providing a robust and integrated platform, Agent 365 empowers teams to confidently embrace AI and accelerate transformation across the enterprise.

—Yuji Shono, Head of the Global AI Office, NTT DATA Group Corporation, a global infrastructure, networking, and IT services provider.

As organizations begin to adopt Agent 365 at scale, we’ve collaborated with strategic partners to create targeted services to help customers onboard, tackle governance challenges and realize the platform’s full value.

Partner services offered today include expertise and guidance for: 

• Inventory and ownership: What agents exist, who owns them, and where they run.
• Least privilege: Right-sizing permissions and enforcing access guardrails without slowing delivery.
• Compliance and data protection: Preventing oversharing and producing audit-ready evidence.
• Threats and multi-platform estates: Understanding attack paths and governing across vendors and clouds.
• Ongoing operations: Lifecycle management, monitoring, and continuous governance hygiene. 

These valuable services are typically scoped as workshops and assessments (diagnose and roadmap), governance and enablement (stand up the control plane and guardrails), managed services (run and improve continuously), advisory and readiness (operating model and adoption readiness), and security and integration (harden posture and integrate third-party agents.)

• Find a Microsoft Agent Security and Governance partner to assist with your Agent 365 evaluation, deployment and adoption. Filter the directory by Offer: “Agent Security and Governance” and Country name. 

How to get started with Agent 365  

Agent 365 is now available in Microsoft 365 E7 or standalone at USD15 per user per month. Each Agent 365 license covers an individual who manages or sponsors agents, or uses agents to do work on their behalf, ensuring all agent activity is consistently governed across the organization in a way that’s predictable for scaled growth.  

In addition to the expertise of your Microsoft 365 team and partners, Agent 365 resources to support your experience include:

• The Agent 365 blog.
• The adoption hub and getting started guide.
• AI Skills Navigator for Agent 365. 
• Technical documentation on Microsoft Learn.

Plus, on Tuesday, May 12, 2026, a team of Agent 365 experts are hosting a live “Ask Microsoft Anything” to answer your questions about Agent 365—we hope you’ll join for the discussion.

Choose an ecosystem partner for agent security and governance

The post Microsoft Agent 365, now generally available, expands capabilities and integrations appeared first on Microsoft Security Blog.

Choose an ecosystem partner for agent security and governance

AI agents aren’t coming—they’re already in your environment. They show up in places you expect (like Microsoft Copilot, Microsoft Teams, and Microsoft 365) and even more places as technology evolves (a local autonomous personal AI assistant or a new software as a service (SaaS) agent connected to your sensitive data.)

The problem isn’t that agents exist. It’s that they proliferate fast, span apps, endpoints and cloud, and often operate outside the visibility and control of the teams accountable for risk. When an agent can invoke tools, access data, and interact with other agents, any “helpful” workflow can turn into data oversharing, tool misuse, or over-privileged actions in seconds. And as agents become even easier to create and deploy, your attack surface grows with them. 

That’s why end-to-end observability matters: you can’t govern what you can’t see, and you can’t secure what you don’t understand—especially when the number of agents is a moving target. 

Microsoft Agent 365 helps you take control of agent sprawl as your control plane to observe, govern, and secure agents and their interactions—including agents built with Microsoft AI and agents from our ecosystem partners—using the admin and security workflows your teams already run. 

General availability starts today for Agent 365.

Additionally, we’re announcing the previews of new Agent 365 capabilities and integrations to help you scale agent adoption with the right controls in place. 

• Observability, governance, and security for agents operating independently—Agent 365 is expanding to cover agents that operate with their own credentials and permissions.
• Discovery of agents and shadow AI, using capabilities of Microsoft Defender and Microsoft Intune for both local and cloud agents.
• A secured, managed environment for agents to work in Windows 365 for Agents.
• Coverage for a wide ecosystem of SaaS agents, including agents innovated by software development companies (SDCs).
• Support for evaluation, adoption, and usage from Microsoft and ecosystem partners worldwide.

Manage agents with a single control plane, regardless of how or where they work

As organizations move from pilot to adoption, AI agents are being deployed across increasingly diverse use cases. Some act with delegated access, working on behalf of users; others operate with their own credentials and permissions, participating in team workflows or operating behind the scenes. 

With Agent 365, you can observe, govern, and secure AI agents whether they act on behalf of users with delegated access—for example, an agent that helps employees organize their inbox—or agents that operate with their own access and scope of work—such as an agent autonomously triaging support tickets. 

	Supported by Agent 365
Agents working on behalf of users (delegated access)  Generally available	Agents operating behind the scenes (own access)  Generally available	Agents participating in team workflows (own access)  Public Preview

Discover and manage local and cloud-hosted agents 

Users are installing agents like OpenClaw and Claude Code on their devices and adopting SaaS agents built by developers on new and emerging platforms. Many of these local and cloud-hosted agents run unmanaged and outside of traditional governance, as they autonomously execute tasks, modify code, or access confidential information, creating a new wave of shadow AI.  

To help organizations address accelerating agent sprawl and the rise of unmanaged agents, we’re introducing new capabilities as part of Agent 365, Microsoft Defender, and Intune so you can discover shadow agents, and apply appropriate controls, such as blocking unmanaged agents. 

Discover and manage local agents

With Microsoft Defender and Intune, organizations will be able to discover and manage local AI agents running on Windows devices, starting with OpenClaw agents and expanding soon to other widely used agents like GitHub Copilot CLI and Claude Code. Customers enrolled in the Frontier program can see if OpenClaw agents are being used in the organization, which devices they are running on, and use Intune policies to block common ways that OpenClaw runs on the new Shadow AI page in Agent 365 in the Microsoft 365 admin center and in the Intune admin center. Through Agent 365 registry, the inventory of local agents will be available in Defender and Intune so IT, endpoint management, and security teams can get a consistent view of discovered local agents in their environment and take appropriate action.

Starting in June 2026, Microsoft Defender will also provide asset context mapping for each agent including the devices they run on, MCP servers configured for those agents, the identities associated with them, and the cloud resources those identities can reach. This will give security teams the context needed to assess exposure and potential blast radius. They can then investigate agent activity, such as file access and network behavior, using familiar endpoint data, and use those insights to identify misconfigurations and even define custom detections.

Beyond monitoring, organizations will be able to apply policy-based controls to set guardrails for what agents are allowed to do—helping protect both agents and organizations from compromise and misuse—with initial support delivered for OpenClaw through Intune. If a managed agent exhibits malicious behavior patterns, such as attempting to access or exfiltrate sensitive data, Defender will be able to block coding agents in runtime and generate alerts with rich incident context to support investigation and response.  

Context mapping capabilities, policy-based controls, plus runtime blocking and alerts will be available in Agent 365 through Intune and Defender public preview in June 2026. 

Visibility across clouds and AI-builder platforms

As developers are rapidly building agents with Microsoft Foundry, AWS Bedrock, and Google Gemini Enterprise Agent Platform (formerly Google Vertex AI) and deploying cloud agents across multicloud and multi-platform environments, the agent sprawl challenge intensifies. To manage potential security risks or vulnerabilities before they become breaches, security and IT teams need visibility to which cloud agents are running, what models these agents are built on, and what resources they’re accessing.

Today, we are excited to announce the public preview of Agent 365 registry sync with AWS Bedrock and Google Cloud connections, enabling IT teams to automatically discover, inventory, and, soon, perform basic lifecycle governance—for example, start, stop, delete agents—across these platforms.

Manage a wide ecosystem of SaaS agents 

Agent 365 works with prebuilt agents in Microsoft 365 Copilot and Teams, agents built with Microsoft Copilot Studio or Microsoft Foundry for your organization, and agents built by software development companies partnered with Microsoft.

Delivering on our promise of control plane for the broad agent ecosystem, we’re excited to announce ecosystem partner agents fully configured to be managed by Agent 365, including Genspark, Zensai, Egnyte, and Zendesk, and agents built on agent factories, including Kasisto, Kore, and n8n. Organizations can observe, govern, and secure these agents in the Agent 365 control plane, with no integration work by IT or security teams.  

Agent 365 software development company launch partners

Enterprises can easily build AI agents today, but scaling them with trust and governance is where most initiatives stall. With Kore.ai deeply integrated into Microsoft Agent 365, identity, security, and governance are built in from the start—empowering enterprises to move from pilots to AI at scale with confidence.

—– Raj Koneru, Chief Executive Officer of Kore.ai

The Agent 365 developer and ecosystem partners play a critical role in extending agents into line-of-business systems, building vertical and scenario-specific integrations, modernizing legacy automation into agent workflows, extending Copilot experiences with custom agents, and helping customers operationalize agent ecosystems at scale. These Agent 365 enabled agents are then observable, governable, and securable in the Agent 365 control plane, accelerating adoption for your organization.

• Explore the Agent Showcase of ecosystem partner agents that work seamlessly with Agent 365.
• Get started with Agent 365 development with guidance from Microsoft Learn.

Secure agents as they work in Windows 365 

While Agent 365 provides the control plane to observe, govern, and secure agent activity across the enterprise, Windows 365 for Agents—now available in public preview (in the United States only)—provides a secured, managed environment where agents can carry out that work. It introduces a new class of Cloud PCs purpose-built for agentic workloads and managed in Intune, allowing agents to run in policy-controlled environments, interact with applications, and operate with the same identity, security, and management controls already used for employees.

Now, with Agent 365, you can also observe and secure agents running on Windows 365 for Agents in Microsoft 365 admin center, understanding which agents are connected to the cloud-powered compute. Together, they enable organizations to move from visibility and governance of agents to confidently running them in production environments. 

Secure agents against internet threats with network controls  

AI agents can operate much faster than human users. Without proper guardrails, they can connect to risky web destinations, interact with unsanctioned AI services, handle sensitive files unsafely, or be manipulated through malicious prompt-based attacks. These risks are harder to manage when security teams lack consistent visibility and controls for agent traffic to internet, SaaS, and AI services. 

To give security teams a consistent way to inspect agent traffic at the network layer, in general availability today, Agent 365 extends Microsoft Entra network controls to Microsoft Copilot Studio agents and agents running on user endpoint devices, including local agents such as OpenClaw. These controls can help identify unsanctioned AI usage, restrict connections to only approved web destinations, filter risky file movement, and help block malicious prompt-based attacks before they lead to harmful actions. 

Confidently scale and govern AI agents while maintaining security and control 

Agent 365 extends even further beyond Microsoft platforms to discover, observe, govern, and secure local, SaaS, and cloud agents across your agentic AI ecosystem. Each of today’s announcements build upon Agent 365 capabilities we shared in March 2026 as well as detailed feedback of customers using the Frontier program, developers integrating with the platform, and partners testing Agent 365 capabilities. 

With Agent 365, we can scale and govern AI agents with confidence, while maintaining enterprise grade security and control. Agent 365 enables organizations to move beyond experimentation, driving tangible business value and innovation through trusted AI adoption. By providing a robust and integrated platform, Agent 365 empowers teams to confidently embrace AI and accelerate transformation across the enterprise.

—Yuji Shono, Head of the Global AI Office, NTT DATA Group Corporation, a global infrastructure, networking, and IT services provider.

As organizations begin to adopt Agent 365 at scale, we’ve collaborated with strategic partners to create targeted services to help customers onboard, tackle governance challenges and realize the platform’s full value.

Partner services offered today include expertise and guidance for: 

• Inventory and ownership: What agents exist, who owns them, and where they run.
• Least privilege: Right-sizing permissions and enforcing access guardrails without slowing delivery.
• Compliance and data protection: Preventing oversharing and producing audit-ready evidence.
• Threats and multi-platform estates: Understanding attack paths and governing across vendors and clouds.
• Ongoing operations: Lifecycle management, monitoring, and continuous governance hygiene. 

These valuable services are typically scoped as workshops and assessments (diagnose and roadmap), governance and enablement (stand up the control plane and guardrails), managed services (run and improve continuously), advisory and readiness (operating model and adoption readiness), and security and integration (harden posture and integrate third-party agents.)

• Find a Microsoft Agent Security and Governance partner to assist with your Agent 365 evaluation, deployment and adoption. Filter the directory by Offer: “Agent Security and Governance” and Country name. 

How to get started with Agent 365  

Agent 365 is now available in Microsoft 365 E7 or standalone at USD15 per user per month. Each Agent 365 license covers an individual who manages or sponsors agents, or uses agents to do work on their behalf, ensuring all agent activity is consistently governed across the organization in a way that’s predictable for scaled growth.  

In addition to the expertise of your Microsoft 365 team and partners, Agent 365 resources to support your experience include:

• The Agent 365 blog.
• The adoption hub and getting started guide.
• AI Skills Navigator for Agent 365. 
• Technical documentation on Microsoft Learn.

Plus, on Tuesday, May 12, 2026, a team of Agent 365 experts are hosting a live “Ask Microsoft Anything” to answer your questions about Agent 365—we hope you’ll join for the discussion.

Choose an ecosystem partner for agent security and governance

The post Microsoft Agent 365, now generally available, expands capabilities and integrations appeared first on Microsoft Security Blog.

Every major shift in cyberattacker behavior over the past decade has followed a meaningful shift in how defenders operate. When security operation centers (SOCs) deployed endpoint detection and response (EDR)—and later extended detection and response (XDR)—security teams raised the bar, pushing cyberattackers beyond phishing, commodity malware, and perimeter‑based attacks and into cloud infrastructure built for scale and speed.

That pattern continued as defenders embraced automation and AI to manage expanding digital estates. SOCs were often early scale adopters—using machine learning to reduce noise, improve visibility, and respond faster across growing environments. Cyberattackers became more targeted and multistage, moving deliberately across identities, endpoints, cloud resources, and email, where detection was hardest. Success increasingly depended on moving fast enough to act before analysts could connect the dots. Even with this progress, security operations (SecOps) still feel asymmetrical: threat actors only need to be right once, while defenders are judged by every miss. If defense depends on human intervention to begin, defense will always feel asymmetrical.

To change the outcome, SOCs must change how defense itself works. This is the agentic SOC: where security delivers adaptive, autonomous defense, freeing defenders for strategic, high‑impact work. In this series, we’ll break down what that shift requires, what early experimentation has taught us, and where organizations can start today. Read more about how some organizations moving toward the agentic SOC and access a foundational roadmap for this transformation in our new whitepaper, The agentic SOC: Your teammate for tomorrow, today.

What we mean by “the agentic SOC”

At its core, the agentic SOC is an operating model that shifts security from reacting to incidents to anticipating how cyberattackers move—and actively reshaping the environment to cut off their paths.

It brings together a platform that can increasingly defend itself through built-in autonomous defense, with AI agents working alongside humans to accelerate investigation, prioritization, and action—so teams spend less time on execution and more time on judgment, risk, and the decisions that matter.

How does that change day-to-day work? Imagine a credential theft attempt. Built-in defenses automatically lock the affected account and isolate the compromised device within seconds—before lateral movement can begin. At the same time, an AI agent initiates an investigation, hunting for related activity across identity, endpoint, email, and cloud signals, and correlating everything into a single view.

When an analyst opens their queue, the “noise” of overwhelming alerts is already gone. Evidence has been pre-assembled. Likely next steps are suggested. The analyst can start right away by answering higher impact questions: Is this part of a broader campaign? Should this authentication method be hardened? Are there related techniques this cyberattacker commonly uses that the environment is still exposed to?

In today’s SOC, we see that sequence often takes hours—and the proactive improvement is very limited, if it ever happens; there’s simply not enough time. In an agentic SOC, it happens in minutes, and teams can spend the time they’ve gained on deeper investigation, systemic hardening, and reducing the likelihood of repeat cyberattacks.

A layered model for the agentic SOC

This model works because an agentic SOC is built on two distinct, but interdependent layers. The first is an underlying threat protection platform that has fundamentally evolved how cyberattacks are defended against and disrupted. High confidence cyberthreats are handled automatically through deterministic, policy-bound controls built directly into the platform. Known attack patterns are blocked in real time—without deliberation or creativity—shielding the environment from machine-speed cyberthreats before scarce human attention or token intensive reasoning is required. This disruption layer is not optional; it is the prerequisite that makes an agentic SOC safe, scalable, and sustainable.

The second layer operates at the operational level, where agents take on tough analysis and correlation work to dramatically increase the leverage of security teams and shift focus from uncovering insight to acting on it. These agents reason over evidence, coordinate investigations, orchestrate response across domains, and learn continuously from outcomes. Over time, they help identify recurring attack paths, surface gaps in posture, and recommend changes that make the environment harder to exploit—not just faster to respond.

Together, they transform the SOC from a reactive workflow engine into a resilient system.

What’s real now, and why there’s reason for optimism

The optimism around our view of the agentic SOC comes from operational discipline and proven, real-world impact. Autonomous attack disruption has been operating at scale for years.

Read more about how Microsoft Defender establishes confidence for automatic action.

Attacks like ransomware are disrupted in an average of three minutes, and tens of thousands of attacks are contained every month by isolating compromised users and devices before lateral movement can take hold. This all done with a 99.99% confidence rating, so SOC teams can trust in its efficacy.

Building on that proven foundation, newer capabilities like predictive shielding extend autonomous defense further—anticipating how cyberattacks are likely to progress and proactively restricting high-risk paths or assets during an intrusion.

Read the case study about how predictive shielding in Microsoft Defender stopped Group Policy Object (GPO) ransomware before it started

Together, these system-level protections show that platforms can safely intervene earlier in the cyberattack chain without introducing unnecessary disruption.

Agentic capabilities are also being similarly scoped. Internally, we’ve been testing task agents for triage and investigations under our expert supervision of our defenders. In live environments, these agents automate 75% of phishing and malware investigations. We’ve also tested agents on more complex analytical tasks, such as assessing exposure to specific vulnerabilities—work that once required a full day of engineering effort and can now be completed in less than an hour by an agent.

How day-to-day SOC work will change in the future

In an agentic SOC, the center of gravity will change for roles like an analyst. Fewer analysts are pulled into firefighting; more time is spent investigating how the organization is being targeted and what steps can be taken to reduce exposure. Within this new operating model, security teams will be freed to evolve the team structure and their day-to-day responsibilities.

Agentic systems increase demand for oversight, tuning, and governance. Detection and response engineering becomes more central, as teams design policies, confidence thresholds, and escalation paths. New roles emerge around supervising outcomes and refining system behavior over time.

Expertise becomes more valuable, not less. Judgment, context, and institutional knowledge are no longer consumed by repetitive tasks—they shape how the SOC operates at scale. And skilled practitioners closer to strategy, quality, and accountability.

To make this shift tangible, here’s how key roles are evolving:

• Analysts: from triaging alerts to supervising outcomes. Analysts validate agent‑led investigations, determine when deeper inquiry is needed, focus on ambiguous cases, and guide system learning over time.
• Detection engineers: from writing rules to teaching the system what matters. Engineers decide which signals are trustworthy, add the right context, and set confidence thresholds so detections can be acted on automatically—without human review every time.
• Threat hunters: from manual queries to hypothesis-driven exploration. Hunters use AI to surface anomalies and focus on creative investigation and adversary simulation.
• SOC leadership: from managing queues to orchestrating autonomy. Leaders define automation policies, oversee governance, and align AI actions with business risk.

Each shift reflects a broader truth: in the agentic SOC, people don’t do less—they do more of what matters.

The agentic SOC journey

This is a significant change in how security teams operate, and it doesn’t happen overnight. Based on our own experience, we’ve outlined a maturity model that shows how organizations can progress toward an agentic SOC over time.

Organizations begin by establishing a trusted foundation that unifies security tooling, enables the deployment of autonomous defense and begins unifying security signal in earnest. From there, they introduce agents to take on bounded, high-volume work under human supervision, learning where automation adds leverage and where judgment still matters most. Over time, as confidence, governance, and operational discipline mature, agents expand from assisting individual workflows to coordinating broader security outcomes. At every stage, progress is measured not by how much work is automated, but by how effectively human expertise is amplified.

SOC 1—Unify your platform foundation

The shift begins with a unified security platform that enables autonomous defense. Deterministic, policy-bound protections stop high confidence cyberthreats automatically—removing urgency, reducing blast radius, and eliminating the constant context switching that slows human response. By integrating signals across identity, endpoints, and cloud, defenders gain a shared view of cyberattacks instead of stitching evidence together across tools. This foundation is what makes cross-domain action possible—and separates experimental automation from production-ready operations.

SOC 2—Accelerate operations with generative AI and task agents

With urgency reduced, generative AI changes how work flows through the SOC. Instead of pushing alerts forward, AI assembles context, synthesizes signals across domains, and produces coherent investigations. Repetitive, high-volume tasks like triage, correlation, and basic investigation are absorbed by the system, allowing analysts to focus on higher impact decisions. This stage establishes new operational patterns where humans and AI work together—accelerating response while preserving judgment and accountability.

SOC 3—Deploy agentic automation

As trust grows, agents move from assistance to action. Specialized agents autonomously orchestrate specific tasks—containing compromised identities, isolating devices, or remediating reported phishing—while humans shift into supervisory roles. Over time, agents help identify patterns, anticipate attack paths, and optimize defenses across the environment. Security teams spend less time managing queues and more time shaping posture, risk, and outcomes. These shifts compound across all three stages.

What comes next for the SOC evolution?

We believe the strongest agentic SOC models will begin with autonomous defense—deterministic, policy‑bound actions that safely stop what is already known to be dangerous at machine speed. That foundation removes urgency, noise, and latency from security operations.

Additionally, agents and humans work differently. Agents assemble context, coordinate remediation, and optimize how the SOC operates. Humans provide intent, judgment, and accountability—turning time saved into smarter, more strategic security outcomes.

This is the first of a series of posts that will explore what makes the agentic SOC model real: the platform foundations required to defend autonomously, the governance and trust mechanisms that keep autonomy safe, and the adoption journey organizations take to get there. Some organizations are already rebuilding their businesses around AI, a new class of Frontier Firms. Read more about how they’re making their move toward the agentic SOC and access a foundational roadmap for this transformation in our new whitepaper, The agentic SOC: Your teammate for tomorrow, today.

Learn more

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity. 

The post The agentic SOC—Rethinking SecOps for the next decade appeared first on Microsoft Security Blog.

Identity attacks no longer hinge on who a cyberattacker compromises, but on what that identity can access. As organizations manage growing numbers of human, non-human, and agentic identities, their access fabric multiplies across apps, resources, and environments, which increases both operational complexity for identity teams and risk exposure for security teams.

The challenge isn’t just scale, it’s fragmentation. From our latest Secure Access report, research shows that 32% of organizations say their access management solutions are duplicative, and 40% say they have too many different vendors. That fragmentation for security vendors makes it harder to maintain consistent access controls and correlate risk across identities. When risk is distributed across dozens of disconnected accounts and permissions, visibility fragments and blind spots emerge—creating ideal conditions for cyberattackers to move laterally without detection. Securing identity in this reality requires more than incremental improvements. It calls for a shift from fragmented controls to an integrated, end-to-end approach that treats identity as a shared control plane that is informed by a continuous, foundational security signal.

Why fragmentation fails—and what must replace it

With the traditional model of identity security—built on siloed directories, disconnected access policies, and bolt-on threat detection—cyberattackers don’t have to break defenses, they just move between them. Permissions go uncorrelated, access policies drift as environments evolve, and lateral movement hides in the gaps.

For defenders, this creates a dangerous imbalance. Identity signals flood the security operations center (SOC) without the context to act, while identity teams enforce access without visibility into active cyberthreats. Risk accumulates across systems, but responsibility—and insight—remains fragmented.

Fixing this doesn’t require more alerts or point solutions. It requires an integrated fabric that brings together all of the identities, access, and signals.

A modern identity security solution must unify three critical layers:

• The identity infrastructure: The systems and services that underpin every access decision. This includes the identity provider, authentication services, single sign-on (SSO), user and group management, and the systems that establish and maintain trust across the enterprise. Without this foundation, there is no authoritative source of truth for who an identity is, what it can access, or how it should be governed. It’s the layer many security vendors lack—and the one Microsoft delivers at global scale.
• The identity control plane: Where privileged identity management and access decisions are enforced in real time, based on dynamic risk signals, behavioral context, and policy intent. This is where identity and security converge to adapt access as conditions change, powering real-time response to identity threats.
• End-to-end identity threat protection: Before a cyberattack, it proactively reduces posture risk by eliminating excessive access and closing identity exposure gaps. When threats emerge, it detects identity misuse in real time, surfaces lateral movement, and drives rapid containment—connecting integrated signals and response across the full attack lifecycle.

When these layers operate in isolation, risk is missed. When they operate as one, identity becomes a powerful security signal—enabling earlier detection, smarter decisions, and faster response.

Redefining identity security for real-time defense

Microsoft is delivering a new standard for identity security solution—one that unifies identity infrastructure, access control, and threat response into a single, real-time platform built for speed, precision, and autonomy.

We start with the identity infrastructure: the foundational identity layer powered by Microsoft Entra. As one of the most widely adopted identity platforms in the world with billions of authentications managed daily, it provides resilient SSO, user and group management, and trust establishment at global scale—a layer many security vendors simply don’t have access to.

We collapse identity sprawl, correlating related accounts across cloud and on-premises into a single identity view, so risk assessment is no longer scattered across disconnected systems. This gives security teams a real‑time understanding of what an identity and its correlated accounts can access, not just who it is—allowing them to spot dangerous access paths early, limit impact, and disrupt lateral movement before attackers turn access into impact. Likewise, it gives identity teams visibility into whether a user flagged as a high risk was just a one-off or if its associated with other accounts, informing what access decisions to make.

On top of that foundation is a real-time identity control plane designed for how attacks actually unfold. Microsoft Entra Conditional Access continuously evaluates risk as access is used, not just when it’s granted—tracking signals from identity, device, network, and broader threat intelligence throughout the session. As conditions change, access adapts in real time, helping identity teams limit exposure and prevent risky access while giving security teams the ability to interrupt attack paths while activity is still in motion. This is adaptive access driven by connected intelligence—not static policy.

And when risk turns into a threat, we act—automatically and inline, which results in a faster response. Microsoft’s threat protection is differentiated by automatic attack disruption: a capability that intervenes mid-attack to isolate compromised assets by terminating user sessions, revoking access, and applying just-in-time hardening to stop lateral movement and privilege escalation. It’s not just detection—it’s defense in motion.

To accelerate response, we’ve extended Microsoft Security Copilot’s triage agent to identity. It uses AI to filter noise, surface high-confidence alerts, and guide analysts with clear, explainable insights—reducing time to action and analyst fatigue.

This end-to-end approach shifts identity from an expanding source of exposure into a strategic advantage. Instead of reacting after access has already been abused, it helps ensure that risk is evaluated continuously, access decisions are made in real-time, and organizations can defend more effectively as attack paths emerge to stop identity‑based attacks before they escalate into business impact.

Innovation that moves the industry forward

At RSAC 2026, we announced a set of innovations in identity security that are designed to help organizations move from fragmented awareness to confident, identity-centric protection:

• The new identity security dashboard in Microsoft Defender doesn’t just summarize alerts, it reveals where identity risk actually concentrates across human and nonhuman identities, account types, and providers. Instead of hopping between consoles, teams can immediately see which access paths matter most, where blast radius is largest, and where action will have the greatest impact.
• A new unified identity risk score correlates together more than 100 trillion signals across Microsoft Security including identity behavior, access risk, and threat signals into a single, actionable view of risk. This allows teams to move directly from understanding exposure to enforcing protection—applying controls at the point of access, natively through risk-based Conditional Access policies.
• Adaptive risk remediation helps identity and security teams contain modern cyberattacks more efficiently while maintaining strong protection. When risk is detected, users easily regain access and Microsoft Entra ID Protection adapts risk remediation based on the type of cyberthreat and the credentials used. This reduces reliance on help desk processes and lowers manual response effort.
• Automatic attack disruption fundamentally changes the outcome of identity-based attacks. Instead of detecting suspicious behavior and waiting for the security teams to respond, it intervenes while cyberattacks are in progress—terminating sessions, revoking access, and applying just-in-time hardening to shut down cyberattacker movement before lateral spread or privilege escalation can occur.
• Security Copilot’s triage agent now extends to identity. Using AI to collapse signal overload into clear, recommended action, the agent surfaces high confidence threats, explaining why they matter, and guides analysts to the right response while attacks are still unfolding. The result is faster containment with far less analyst fatigue.
• Expanded coverage across the modern identity fabric, including deeper visibility into non-human identities and new integrations with third-party platforms like SailPoint and CyberArk—providing protection that spans the full ecosystem, not just first-party assets.
• A new coverage and maturity view helps organizations assess their current identity security posture, identify gaps, and prioritize next steps—transforming identity protection from a static checklist into a dynamic, guided journey.

These innovations are deeply integrated, continuously reinforced, and designed to work together—enabling security and identity teams to operate from a shared source of truth, with shared context, and shared urgency. Read more about redefining identity security for the modern enterprise.

They are designed to help organizations shift from reactive identity management to proactive identity defense—and from fragmented tools to a unified platform built for real-time security across human, non-human, and agentic identities.

Learn more

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

The post Identity security is the new pressure point for modern cyberattacks appeared first on Microsoft Security Blog.

Identity attacks no longer hinge on who a cyberattacker compromises, but on what that identity can access. As organizations manage growing numbers of human, non-human, and agentic identities, their access fabric multiplies across apps, resources, and environments, which increases both operational complexity for identity teams and risk exposure for security teams.

The challenge isn’t just scale, it’s fragmentation. From our latest Secure Access report, research shows that 32% of organizations say their access management solutions are duplicative, and 40% say they have too many different vendors. That fragmentation for security vendors makes it harder to maintain consistent access controls and correlate risk across identities. When risk is distributed across dozens of disconnected accounts and permissions, visibility fragments and blind spots emerge—creating ideal conditions for cyberattackers to move laterally without detection. Securing identity in this reality requires more than incremental improvements. It calls for a shift from fragmented controls to an integrated, end-to-end approach that treats identity as a shared control plane that is informed by a continuous, foundational security signal.

Why fragmentation fails—and what must replace it

With the traditional model of identity security—built on siloed directories, disconnected access policies, and bolt-on threat detection—cyberattackers don’t have to break defenses, they just move between them. Permissions go uncorrelated, access policies drift as environments evolve, and lateral movement hides in the gaps.

For defenders, this creates a dangerous imbalance. Identity signals flood the security operations center (SOC) without the context to act, while identity teams enforce access without visibility into active cyberthreats. Risk accumulates across systems, but responsibility—and insight—remains fragmented.

Fixing this doesn’t require more alerts or point solutions. It requires an integrated fabric that brings together all of the identities, access, and signals.

A modern identity security solution must unify three critical layers:

• The identity infrastructure: The systems and services that underpin every access decision. This includes the identity provider, authentication services, single sign-on (SSO), user and group management, and the systems that establish and maintain trust across the enterprise. Without this foundation, there is no authoritative source of truth for who an identity is, what it can access, or how it should be governed. It’s the layer many security vendors lack—and the one Microsoft delivers at global scale.
• The identity control plane: Where privileged identity management and access decisions are enforced in real time, based on dynamic risk signals, behavioral context, and policy intent. This is where identity and security converge to adapt access as conditions change, powering real-time response to identity threats.
• End-to-end identity threat protection: Before a cyberattack, it proactively reduces posture risk by eliminating excessive access and closing identity exposure gaps. When threats emerge, it detects identity misuse in real time, surfaces lateral movement, and drives rapid containment—connecting integrated signals and response across the full attack lifecycle.

When these layers operate in isolation, risk is missed. When they operate as one, identity becomes a powerful security signal—enabling earlier detection, smarter decisions, and faster response.

Redefining identity security for real-time defense

Microsoft is delivering a new standard for identity security solution—one that unifies identity infrastructure, access control, and threat response into a single, real-time platform built for speed, precision, and autonomy.

We start with the identity infrastructure: the foundational identity layer powered by Microsoft Entra. As one of the most widely adopted identity platforms in the world with billions of authentications managed daily, it provides resilient SSO, user and group management, and trust establishment at global scale—a layer many security vendors simply don’t have access to.

We collapse identity sprawl, correlating related accounts across cloud and on-premises into a single identity view, so risk assessment is no longer scattered across disconnected systems. This gives security teams a real‑time understanding of what an identity and its correlated accounts can access, not just who it is—allowing them to spot dangerous access paths early, limit impact, and disrupt lateral movement before attackers turn access into impact. Likewise, it gives identity teams visibility into whether a user flagged as a high risk was just a one-off or if its associated with other accounts, informing what access decisions to make.

On top of that foundation is a real-time identity control plane designed for how attacks actually unfold. Microsoft Entra Conditional Access continuously evaluates risk as access is used, not just when it’s granted—tracking signals from identity, device, network, and broader threat intelligence throughout the session. As conditions change, access adapts in real time, helping identity teams limit exposure and prevent risky access while giving security teams the ability to interrupt attack paths while activity is still in motion. This is adaptive access driven by connected intelligence—not static policy.

And when risk turns into a threat, we act—automatically and inline, which results in a faster response. Microsoft’s threat protection is differentiated by automatic attack disruption: a capability that intervenes mid-attack to isolate compromised assets by terminating user sessions, revoking access, and applying just-in-time hardening to stop lateral movement and privilege escalation. It’s not just detection—it’s defense in motion.

To accelerate response, we’ve extended Microsoft Security Copilot’s triage agent to identity. It uses AI to filter noise, surface high-confidence alerts, and guide analysts with clear, explainable insights—reducing time to action and analyst fatigue.

This end-to-end approach shifts identity from an expanding source of exposure into a strategic advantage. Instead of reacting after access has already been abused, it helps ensure that risk is evaluated continuously, access decisions are made in real-time, and organizations can defend more effectively as attack paths emerge to stop identity‑based attacks before they escalate into business impact.

Innovation that moves the industry forward

At RSAC 2026, we announced a set of innovations in identity security that are designed to help organizations move from fragmented awareness to confident, identity-centric protection:

• The new identity security dashboard in Microsoft Defender doesn’t just summarize alerts, it reveals where identity risk actually concentrates across human and nonhuman identities, account types, and providers. Instead of hopping between consoles, teams can immediately see which access paths matter most, where blast radius is largest, and where action will have the greatest impact.
• A new unified identity risk score correlates together more than 100 trillion signals across Microsoft Security including identity behavior, access risk, and threat signals into a single, actionable view of risk. This allows teams to move directly from understanding exposure to enforcing protection—applying controls at the point of access, natively through risk-based Conditional Access policies.
• Adaptive risk remediation helps identity and security teams contain modern cyberattacks more efficiently while maintaining strong protection. When risk is detected, users easily regain access and Microsoft Entra ID Protection adapts risk remediation based on the type of cyberthreat and the credentials used. This reduces reliance on help desk processes and lowers manual response effort.
• Automatic attack disruption fundamentally changes the outcome of identity-based attacks. Instead of detecting suspicious behavior and waiting for the security teams to respond, it intervenes while cyberattacks are in progress—terminating sessions, revoking access, and applying just-in-time hardening to shut down cyberattacker movement before lateral spread or privilege escalation can occur.
• Security Copilot’s triage agent now extends to identity. Using AI to collapse signal overload into clear, recommended action, the agent surfaces high confidence threats, explaining why they matter, and guides analysts to the right response while attacks are still unfolding. The result is faster containment with far less analyst fatigue.
• Expanded coverage across the modern identity fabric, including deeper visibility into non-human identities and new integrations with third-party platforms like SailPoint and CyberArk—providing protection that spans the full ecosystem, not just first-party assets.
• A new coverage and maturity view helps organizations assess their current identity security posture, identify gaps, and prioritize next steps—transforming identity protection from a static checklist into a dynamic, guided journey.

These innovations are deeply integrated, continuously reinforced, and designed to work together—enabling security and identity teams to operate from a shared source of truth, with shared context, and shared urgency. Read more about redefining identity security for the modern enterprise.

They are designed to help organizations shift from reactive identity management to proactive identity defense—and from fragmented tools to a unified platform built for real-time security across human, non-human, and agentic identities.

Learn more

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

The post Identity security is the new pressure point for modern cyberattacks appeared first on Microsoft Security Blog.

Security operations are entering a pivotal moment: the operating model that grew around network logs and phishing emails is now buckling under tool sprawl, manual triage, and threat actors that outpace defender capacity. New research from Microsoft and Omdia shows just how heavy the burden can be—security operations centers (SOCs) juggle double-digit consoles, teams manually ingest data several times a week, and nearly half of all alerts go uninvestigated. The result is a growing gap between cyberattacker speed and defender capacity. Read State of the SOC—Unify Now or Pay Later to learn how hidden operational pressures impact resilience—compelling evidence to why unification, automation, and AI-powered workflows are quickly becoming non-negotiables for modern SOC performance.

The forces pushing modern SOC operations to a breaking point

The report surfaces five specific operational pressures shaping the modern SOC—spanning fragmentation, manual toil, signal overload, business-level risk exposure, and detection bias. Separately, each data point is striking. But taken together, they reveal a more consequential reality: analysts spend their time stitching context across consoles and working through endless queues, while real cyberattacks move in parallel. When investigations stall and alerts go untriaged, missed signals don’t just hurt metrics—they create the conditions for preventable compromises. Let’s take a closer look at each of the five issues:

1. Fragmentation

Fragmented tools and disconnected data force analysts to pivot across an average of 10.9 consoles¹ and manually reconstruct context, slowing investigations and increasing the likelihood of missed signals. These gaps compound when only about 59% of tools push data to the security information and event management (SIEM), leaving most SOCs manually ingesting data and operating with incomplete visibility.

2. Manual toil

Manual, repetitive data work consumes an outsized share of analyst capacity, with 66% of SOCs losing 20% of their week to aggregation and correlation—an operational drain that delays investigations, suppresses threat hunting, and weakens the SOC’s ability to reduce real risk.

3. Security signal overload

Surging alert volumes bury analysts in noise with an estimated 46% of alerts proving false positives and 42% going uninvestigated, overwhelming capacity, driving fatigue, and increasing the likelihood real cyberthreats slip through unnoticed.

4. Operational gaps

Operational gaps are directly translating into business disrupting incidents, with 91% of security leaders reporting serious events and more than half experiencing five or more in the past year—exposing organizations to financial loss, downtime, and reputational damage.

5. Detection bias

Detection bias keeps SOCs focused on tuning alerts for familiar cyberthreats—52% of positive alerts map to known vulnerabilities—leaving dangerous blind spots for emerging tactics, techniques, and procedures (TTPs). This reactive posture slows proactive threat hunting and weakens readiness for novel attacks even as 75% of security leaders worry the SOC is losing pace with new cyberthreats.

Read the full report for the deeper story, including chief information security officer (CISO)-level takeaways, expanded data, and the complete analysis behind each operational pressure, as well as insights that can help security professionals strengthen their strategy and improve real world SOC outcomes.

What CISOs can do now to strengthen resilience

Security leaders have a clear path to easing today’s operational strain: unify the environment, automate what slows teams down, and elevate identity and endpoint as a single control plane. The shift is already underway as forward-leaning organizations focus on high-impact wins—automating routine lookups, reducing noise, streamlining triage, and eliminating the fragmentation and manual toil that drain analyst capacity. Identity remains the most critical failure point, and leaders increasingly view unified identity to endpoint protection as foundational to reducing exposure and restoring defender agility. And as environments unify, the strength of the underlying graph and data lake becomes essential for connecting signals at scale and accelerating every defender workflow.

As AI matures, leaders are also looking for governable, customizable approaches—not black box automation. They want AI agents they can shape to their environment, integrate deeply with their SIEM, and extend across cloud, identity, and on-premises signals. This mindset reflects a broader operational shift: modern key performance indicators (KPIs) will improve only when tools, workflows, and investigations are unified, and automation frees analysts for higher value work.

The report details a roadmap for CISOs that emphasizes unifying signals, embedding AI into core workflows, and strengthening identity as the primary control point for reducing risk. It shows how leaders can turn operational friction into strategic momentum by consolidating tools, automating routine investigation steps, elevating analysts to higher value work, and preparing their SOCs for a future defined by integrated visibility, adaptive defenses, and AI-assisted decision making.

Chart your path forward

The pressures facing today’s SOCs are real, but the path forward is increasingly clear. As this report shows, organizations that take these steps aren’t just reducing operational friction—they’re building a stronger foundation for rapid detection, decisive response, and long-term readiness. Read State of the SOC—Unify Now or Pay Later for deeper guidance, expanded findings, and a phased roadmap that can help security professionals chart the next era of their SOC evolution.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

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¹The study, commissioned by Microsoft, was conducted by Omdia from June 25, 2025, to July 23, 2025. Survey respondents (N=300) included security professionals responsible for SOC operations at mid-market and enterprise organizations (more than 750 employees) across the United States, United Kingdom, and Australia and New Zealand. All statistics included in this post are from the study.

The post Unify now or pay later: New research exposes the operational cost of a fragmented SOC appeared first on Microsoft Security Blog.