Rapid7 has been named a Major Player in the IDC MarketScape: Worldwide SIEM 2026 Vendor Assessment (#US54126826, June 2026).

This is the first IDC SIEM MarketScape to bring the enterprise and SMB markets into a single evaluation, and we believe it arrives at a time when the way teams buy and run a SOC is changing quickly. Security teams are no longer evaluating detection and response in isolation. They want their threat data, automation, and view of the attack surface working together, rather than spread across a stack of disconnected tools.

We believe Incident Command reflects that shift by bringing threat data, automation, and attack surface context into one platform instead of leaving teams to work across disconnected tools. It also speaks to a broader change in security operations, where context matters more, speed matters more, and teams need a clearer path from alert to action. That same direction runs through Rapid7’s wider point of view on preemptive security: exposure, detection, and response work better when they inform each other through shared context, AI, and human expertise.

Incident Command brings detection, response, and exposure context together

Incident Command brings SIEM, SOAR, attack surface management, and threat intelligence together on a shared data model. That gives analysts access to asset risk, vulnerability data, and exposure context during an investigation, so they can understand whether a detection affects a high-risk, internet-facing asset without having to jump between separate products.

According to the IDC MarketScape, “Incident Command is a strong fit for midmarket to enterprise organizations that want a fully integrated security operations platform with predictable costs.”

The teams we talk to are tired of stitching tools together and dealing with surprise ingestion bills. They want fewer blind spots, faster investigations, and a clearer answer to what is urgent and what to do next. Incident Command addresses that by bringing exposure context, threat intelligence, and response automation into the SIEM workflow, helping teams investigate faster and act with more clarity. For organizations looking for additional managed coverage, Rapid7 MDR is available as a separate offering. As attacks move faster and environments become harder to manage, security operations work better when exposure, threat, and response data are connected through an open platform that gives teams the context they need to move with more speed and clarity.

AI and automation, pressure-tested by a global SOC

Many vendors talk about AI in the SOC. For customers, the more important question is how those capabilities are developed, tested, and refined so they are useful in real investigations rather than just sounding good in a product story. We believe the IDC MarketScape called out what that means in Rapid7’s case:

“AI models and automation capabilities are tested in the MDR SOC before release to product customers, providing a feedback loop between managed service outcomes and product development that organizations without their own MDR equivalent cannot replicate.”

Our MDR analysts work real incidents across thousands of customer environments every day. The detections, triage models, and automation that come out of that work are tested against live attacks before they reach product customers. That feedback loop helps make the AI Engine more useful in practice by handling repetitive work such as classifying alerts, compiling evidence, and surfacing next steps, while analysts spend their time on the decisions that actually require human judgment. That balance also reflects Rapid7’s broader platform story: AI-powered, backed by human expertise. 

What we believe this IDC MarketScape recognition says about the future of SIEM

The 2026 IDC MarketScape is a useful signal of where the market is heading. Organizations are looking for platforms where exposure and detection inform each other instead of living in separate systems, and where AI helps teams move faster without removing the human judgment needed to make the right call. We believe that is very much in line with the platform Rapid7 has been building through Incident Command and the wider Command Platform story. We’ll continue investing in the AI Engine, deeper attack surface context, and the integrations customers rely on. The goal remains straightforward: help defenders move faster to keep their environment safe, investigate with more context, and respond with machine speed and confidence.

Want to see Incident Command in action? Request a demo or explore the packages built to meet your team where it is.

Security teams are flooded with logs, yet every alert demands fast, accurate context. In Verizon’s 2025 Data Breach Investigations Report [1], they analyzed 22,052 security incidents, of which 12,195 (55%) were confirmed breaches, underscoring how much activity teams must sift through to find what matters.

In practice, that means dozens of investigations per shift, each requiring fast judgment with incomplete context. A 2024 SANS survey shows that SOC teams report alert volume, limited context, and lack of automation continue to slow investigation and response [2].

Speed suffers. So does consistency.

Turn raw logs into a clear narrative

AI-Powered Log Summary in Rapid7 Incident Command transforms raw log data into a clear, concise narrative directly within the investigation workflow. Analysts see what happened, why it matters, and what to do next in seconds, not minutes.

Instead of decoding logs line by line, analysts get:

• Instant identification of who initiated the activity.

• Fast understanding of exactly which actions occurred.

• Clarity into when and where events unfolded.

• Connectivity into why that behavior matters.

Analysts stay grounded in the original data, but they no longer have to fight through it to find answers. The summary provides immediate orientation and focus, keeping their focus on what to do next.

Built for real SOC workflows

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AI-Powered Log Summary is embedded directly into the log search workflow. No pivoting, and no context switching. With a single action, analysts generate a contextual summary tailored to their results in seconds. That means faster investigations without breaking flow.

Summaries can be shared with teammates or leadership to communicate findings quickly, without rewriting technical details into plain language. Everyone stays aligned on what happened and what comes next.

AI integration in action

Rapid7 leverages the best available technology to protect our customers' attack surfaces. Our mission drives us to keep abreast of the latest AI advancements to deliver optimal value to customers while effectively managing the inherent risks of the technology. Integrating AI into our core processes enhances our operational security and underscores our commitment to ethical innovation. 

At Rapid7, we are dedicated to leading responsibly in the AI space, ensuring that our technological advancements positively contribute to our customers, company, and society. Read more about how our TRiSM (Trust, Risk, and Security Management) is a foundational strategy that guides us in navigating the intricate landscape of AI with confidence and security.

Less noise, more impact

By reducing time spent parsing logs, teams can focus on what matters: containment, remediation, and proactive threat hunting.

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This brings analysts:

• Faster triage and investigations.

• More consistent analysis across shifts.

• Lower cognitive load during high-volume periods.

• Clear communication to stakeholders.

Rapid7 is at the vanguard of integrating AI into its products to accelerate outcomes for our customers, with a particular focus on amplifying analyst impact and bringing speed and clarity to SOC operations throughout the threat detection and response lifecycle. 

That is how modern SOC teams move faster. Visit the Incident Command page for more information.

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[1] Verizon 2025 DBIR

[2] SANS 2024 SOC Survey

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