Exciting news for AI governance! Rapid7 has achieved ISO/IEC 42001:2023 certification for our Artificial Intelligence Management System (AIMS). The certificate was issued by Schellman Compliance, LLC, an ANAB accredited certification body, following an independent audit of how we govern the AI systems we develop in our role as an AI provider.
What is ISO/IEC 42001?
ISO/IEC 42001 is the first international management system standard for artificial intelligence. Where ISO/IEC 27001 focuses on information security, ISO/IEC 42001 focuses on how an organization governs AI. What exactly does “governing AI” mean? Essentially, it means how AI risks and impacts are assessed, how data is managed, how systems are monitored once they’re in production, and how humans stay in the loop across the AI lifecycle.
This certification means an accredited third party has audited our AIMS and confirmed that it aligns to the standard. To note, this isn’t a one-time exercise, as the certification is maintained through annual surveillance audits. This means our AI governance program is held to the standard for as long as the certificate is active.
Why is ISO/IEC 42001 certification important?
AI is continually evolving how security teams work, and it’s also causing teams to reconsider the questions they ask their vendors. Where does the model come from? What data does it use? Who reviews its outputs? How do we maintain the integrity and quality of our AI products?
ISO/IEC 42001 certification gives customers independent evidence that Rapid7 has a management system in place to address those questions. It demonstrates that the in-scope AI systems are developed and operated under a structured program covering risk assessment, transparency, human oversight, and accountability.
It also supports customers in their own governance work. Many organizations are building AI risk into their third party risk programs and preparing for frameworks and regulations such as the NIST AI Risk Management Framework and the EU AI Act. A vendor's certified AIMS doesn't replace a customer's own due diligence, but it provides a credible, audited starting point.
As with cloud security, AI follows a shared responsibility model. Rapid7 is certified in the role of an AI provider, meaning we’re accountable for how we design, build, and operate these AI systems. Customers remain in control of how they use AI outputs within their own security operations.
Which AI systems are in scope?
The certification covers the AIMS supporting the following AI systems developed within Rapid7 products:
Agentic AI Workflow for MDR (Managed Detection and Response)
AI Dashboard Summary Card (Managed Detection and Response)
AI-Generated Risk Summaries (Exposure Command and Surface Command)
ICS Runtime Event Story (InsightCloudSec / Cloud Runtime)
Most of these are capabilities customers use directly within the product. Agentic AI Workflow for MDR supports Rapid7's own SOC analysts as they investigate and respond on behalf of MDR customers.
What's next?
ISO/IEC 42001 certification joins Rapid7's existing security and compliance program, which includes ISO/IEC 27001, SOC 2, FedRAMP, IRAP, ENS, BSI C5, as well as U.S. and international cybersecurity regulations. Each is independently assessed against its own defined scope, with details available in the Rapid7 Trust Center (reach out to your Account Executive for access).
As our AI capabilities grow, our AI governance program will grow with them. As such, we'll update this post if the scope of certification changes.
Customers can request a copy of the certificate through their Account Executive or Rapid7 representative. The certificate can also be independently verified in Schellman's public certificate directory.
As AI takes on more of the enrichment, correlation, and initial assessment inside the SOC, roles, skills, and KPIs still require deliberate redesign. Security leaders need to decide where automation is dependable, where human judgment should remain decisive, and how teams should be measured when alert handling is no longer the center of the operating model
The Gartner® report, The Roles Required for the AI-Enabled Security Operations Center (SOC), examines the roles and capabilities Gartner expects the SOC to require as AI becomes embedded in security operations. Rapid7 is offering complimentary access to the research, which we believe can help leaders plan their future workforce, operating model, and investment priorities.
How will AI change the role of SOC analysts?
Many analyst roles and performance measures remain closely tied to handling individual alerts. As organizations introduce AI SOC agents to support enrichment, correlation, and initial assessment, leaders may need to reconsider where human expertise creates the greatest operational value.
Gartner states, "Human analysts must transition from alert triage roles to end-to-end case ownership and effective response option communication." At Rapid7, we believe this shift creates an opportunity for analysts to focus their judgment on validating context, coordinating response, and communicating decisions clearly.
Gartner also recommends, "Stop recording alert metrics and run the SOC on cases and decisions." Robert Willis, VP of Managed Detection and Response at Rapid7, puts it plainly: "Alert volume is a distraction. The real measure of SOC value is decision quality, did you get the right answer, fast enough to act on it? MDR is built to deliver exactly that: answers, not alerts, so your team can focus on ownership and response rather than triage." MDR can help manage alert volume while adding investigation and response capacity, giving internal teams more space to focus on the cases that require their context and ownership.
Where does human judgment remain essential?
Rapid7's experience applying agentic AI within our MDR SOC shows how this division of work can operate in practice. Our agentic workflows have saved more than 200 analyst hours each week and achieved 99.93% benign-disposition accuracy, reducing the repetitive work involved in initial triage and giving analysts more time for complex, ambiguous, and higher-stakes investigations.
We believe human judgment remains essential when a decision carries operational consequences. AI can gather evidence, correlate activity, and present a structured rationale, while analysts validate the conclusion, consider the organization's priorities, and determine the appropriate response. This human-led, AI-driven model combines machine-speed investigation with accountable decision-making.
Why are SOC engineering roles expected to expand?
As AI-enabled workflows expand, engineering discipline is likely to become increasingly important within security operations. Reliable processes require people who understand threats and security data, can test automated workflows, and can establish appropriate controls around AI-supported decisions.
The report includes the strategic planning assumption, "By 2028 there will be 50% more engineers in security operations teams than analysts." Gartner also advises organizations, "Redefine detection engineering role descriptions and hiring requirements. Expand them beyond rule writing to include prompt design, workflow testing, and AI output validation."
From Rapid7's perspective, detection engineering is developing into a broader operational discipline. Data quality, testing, version control, rollback procedures, documentation, and human approval paths all contribute to dependable AI-enabled workflows. Investing in these capabilities can help teams use automation confidently while keeping people central to consequential security decisions.
Why should Exposure Management be a continuous SOC function?
The report also considers how security operations can identify and validate weaknesses before they contribute to an incident. Gartner states, "Exposure management is the emerging SOC capability to invest in before anything else."
At Rapid7, we believe exposure management should become a standing operational discipline that connects discovery, validation, prioritization, and remediation with detection and response. Exposure Command can help teams understand which exposures present the greatest risk and direct remediation accordingly, while MDR provides additional expertise and capacity to investigate and respond when threats emerge.
Together, these capabilities support a human-led, AI-driven operating model focused on informed decisions, continuous exposure reduction, and effective response. Access the complimentary Gartner report, The Roles Required for the AI-Enabled Security Operations Center (SOC), to explore how Gartner expects SOC roles and responsibilities to evolve.
Security teams already have long queues of potential application vulnerabilities. The useful question is what happens next: can they see how a weakness behaves in a running application, reproduce the attack, and give developers enough evidence to fix it?
Dynamic application security testing (DAST) helps answer those questions by testing applications as an attacker encounters them. The IDC MarketScape: Worldwide Dynamic Application Security Testing 2026 Vendor Assessment (Doc #US54119126, September 2026). The IDC MarketScape evaluated 16 vendors and named Rapid7 a Leader.
We believe the result reflects the strength of Rapid7’s DAST capabilities, but the IDC MarketScape also offers a useful view of where the category is heading. DAST has developed beyond traditional web scanning into a source of runtime evidence that can help organizations validate risk across the application layer.
From possible weakness to validated application risk
Code analysis and dependency scanning help teams identify weaknesses before an application is deployed. DAST provides a different view by interacting with the assembled application while it is running. It can show what happens when a particular request reaches the application, how the application responds, and whether a suspected weakness can be reproduced.
This is especially valuable for APIs and AI-backed applications, where risk may emerge through interactions among models, prompts, data, tools, and permissions. Some of these behaviors cannot be fully understood from source code or a dependency manifest. They become visible when the application is exercised under runtime conditions.
DAST therefore has a direct role in continuous threat exposure management (CTEM). Discovery gives teams a view of their assets and possible weaknesses, but that view alone does not tell them where to focus. Validation helps narrow the field by showing which exposures can be reached or exploited and providing evidence that teams can use to take action.
For Rapid7, DAST is exposure management applied to the application layer. Web applications, APIs, and AI-backed endpoints are all part of the attack surface, so they need to be discovered, tested, prioritized, and managed alongside infrastructure, cloud, and other exposures.
Why we believe Rapid7 was named a Leader by IDC
Rapid7’s DAST solution is delivered as part of the Exposure Command portfolio. Its scan engine maps an application, executes attacks against the discovered paths, and validates confirmed findings. Security teams can map a broad area of an application while limiting active attacks to an appropriate set of paths, giving them control over how testing is performed.
Findings are checked against Rapid7 telemetry to help determine which issues warrant closer attention. When a finding needs action, browser-based replay reproduces the original request, the attack request, and the triggering response. Developers receive evidence they can work with, rather than a finding they must first spend time proving.
Authenticated scanning can be difficult to maintain across a changing application portfolio, and a broken login sequence can leave important areas untested. Rapid7’s solution can identify the affected step and support a targeted update without requiring the entire sequence to be recorded again.
The connection with Surface Command adds another useful layer. Newly discovered external assets can be surfaced for application testing, helping teams close the gap between finding an application and understanding the risk it presents
DAST plays a core role within Exposure Command: providing the application-layer validation teams need to prioritize risk and move from findings to remediation.
If Q1 set the pace for Rapid7's tools, Q2 accelerated it. This quarter brought a steady stream of product enhancements, platform investments, and customer-driven innovation across Rapid7’s portfolio. Each release was designed with a clear goal in mind: helping security teams reduce complexity while increasing speed, context, and confidence in their day-to-day operations. Here’s a closer look at what launched in Q2.
Detection and response
Streamline investigations with bidirectional and enriched Microsoft Defender alerts
Bidirectional synchronization and enriched alert context for Microsoft Defender is now generally available for SIEM and MDR customers, enabling security teams to automatically synchronize alert status between Rapid7's SIEM and the Microsoft Defender console. With added process tree and user identity context, analysts can investigate threats more efficiently while reducing manual effort.
Confidently scale detection engineering with Detection as Code
Detection as Code enables security teams to build, test, version, and deploy detections using Terraform and modern engineering workflows. Built-in validation, guardrails, and version control help teams deliver higher-quality alerts, maintain more consistent coverage, and scale detection engineering more effectively.
Figure 1: Rapid7's Detection as Code methodology.
Strengthen ransomware resilience with Ransomware Prevention for Incident Command
Ransomware Prevention for Incident Command adds an intent-based layer of protection designed to stop ransomware encryption and endpoint damage before they disrupt operations. Built into the Insight Agent, this capability strengthens ransomware resilience while working alongside existing endpoint security investments, without adding operational complexity.
Compliance
New solutions webpages
Across the globe, cybersecurity regulation is shifting away from static compliance checklists and toward ongoing risk management that blends proactive defense with effective detection and response. Rapid7’s platform, which brings exposure management and CTEM together with detection, response, and MDR, is well positioned to help organizations operationalize compliance across mandates such as NIS2, NIST CSF 2.0, DORA, HIPAA, HITRUST, and GovRAMP. To support that effort, Rapid7 has launched an updated library of dedicated compliance solution pages that map platform capabilities to the requirements that matter most across industries and regions. The first set of pages is live now, with more to follow in the coming weeks.
Figure 2: Rapid7's new GovRAMP compliance solutions page.
Exposure management
Turn prioritized exposures into remediation progress
We improved Remediation Hub to help teams turn prioritized exposures into more actionable remediation progress. Updates to the Top Remediations Report add asset-level context, including operating system, IP address, cloud provider, tags, endpoint protection, and patch management details, so teams can better understand what needs to be fixed and who needs to act.
With clearer patch and endpoint coverage signals, reboot status, customizable filters, exportable reports, and scheduled email delivery, teams can spend less time assembling manual updates and more time tracking the remediation work that reduces risk. Read the full blog to learn more about how Exposure Command helps teams move from prioritized exposures to remediation progress.
AI pre-triage for AppSec findings
Rapid7 is also making application security testing faster and more focused with AI vulnerability pre-triaging for InsightAppSec. Available now for AppSec customers in supported regions, the capability uses AI to automatically remove false positives during the scan process, helping teams spend less time manually reviewing findings and more time remediating actual risk.
Initial coverage started with BlindSQL, and the latest engine release adds AI validation for BlindNoSQL findings, including content-based and timing-based detections. The result is a cleaner, more confident view of application risk, so security teams can focus on high-impact vulnerabilities and accelerate remediation with less manual effort.
Attack surface management
Open-source MCP Server and Agent Skill
We are delighted to announce the introduction of a free, open-source MCP Server and Agent Skill for Bulk Export. Bulk export is a highly efficient way to access all your Rapid7 vulnerability and exposure data to AI assistants and custom AI workflows. Built as an open-source bridge, it helps customers bring their Rapid7 data into the tools and experiences that work best for their teams. Check out our blog for more detail.
Figure 3: Agent Skill for Bulk Export.
Turn exposure filters into live dashboards
Surface Command also made exposure reporting easier with filter-based dashboard widgets. Teams can now turn saved asset and identity filters into live dashboards without writing Cypher queries, making it faster to track high-risk internet-facing assets, identity-driven exposure hotspots, unmanaged cloud infrastructure, and business-unit risk.
For continuous threat exposure management programs, this helps teams move from one-off reporting to repeatable, always-on views of exposure risk and remediation progress. Read this blog to learn more.
Platform and Labs
Rapid7 Command Platform
Cyber GRC
Rapid7 introduced Cyber GRC to select customers in Q2, giving teams an early look at a new way to connect security, risk, compliance, and third-party risk management in one program. Available to both Exposure Management and Detection and Response customers, Cyber GRC brings governance and compliance workflows closer to the security data teams already use every day.
Cyber GRC will be broadly available in late July. It helps organizations move toward continuous compliance by mapping controls to real environment telemetry, automating evidence collection, and prioritizing risk with live attack surface context. That means teams can spend less time chasing audit artifacts, screenshots, and vendor risk details, and more time understanding which controls, assets, third parties, and risks need attention now.
Rapid7 Labs
Rapid7 Quarterly Threat Landscape Report
The Rapid7 Quarterly Threat Landscape Report examines the key trends shaping today's threat landscape, drawing on MDR incident response, vulnerability intelligence, ransomware monitoring, and dark web telemetry. Q1 2026 data highlights the growing dominance of vulnerability exploitation as an initial access vector, the rise of zero-click vulnerabilities, evolving ransomware operations, and the accelerating pace at which attackers operationalize newly disclosed vulnerabilities. Read the report to explore all key findings and takeaways.
Figure 4: Rapid7's quarterly threat report.
The latest threat research
Rapid7 researchers explored emerging trends shaping the threat landscape, including the growing commercialization of criminal AI-as-a-Service and the evolving tradecraft of advanced threat actors. From the underground adoption of AI tools for fraud and social engineering to an in-depth analysis of the Dropping Elephant malware campaign, these reports provide actionable intelligence on how attackers are adapting their techniques and what defenders can do to stay ahead.
Emergent Threat Response
This quarter's Emergent Threat Response (ETR) coverage highlights a sustained wave of high-impact vulnerabilities affecting widely deployed enterprise technologies, including Oracle PeopleSoft, Palo Alto Networks PAN-OS, Check Point VPN, Ivanti Sentry, cPanel/WHM, and Nginx UI. For each of these CVEs, Rapid7 tracked active exploitation and rapidly evolving attacker activity to provide timely guidance to help defenders assess risk and respond quickly. See all the details, and our latest ETR coverage, here.
From strengthening detection and response to advancing exposure management, expanding governance capabilities, and delivering actionable threat intelligence, Q2 demonstrated Rapid7’s continued focus on helping security teams do more with less complexity. Every enhancement this quarter was designed to reduce manual effort, surface the context that matters, and help organizations make faster, more confident security decisions. We’re carrying that momentum into the rest of the year, so stay tuned to our blog and releases as we continue building the security operations platform that helps defenders stay ahead of what’s next.
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