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Rapid7 Introduces AI-Generated Risk Intelligence

30 Oct 2025

Rapid7 Introduces AI-Generated Risk Intelligence
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Summary is AI-generated, newsdesk-reviewed
  • Rapid7 launches AI-generated risk intelligence to optimize vulnerability management and prioritize remediation.
  • New vulnerability intelligence capabilities enhance Rapid7's threat detection and response in Intelligence Hub.
  • AI-driven summaries enable faster decision-making, improving security and IT team collaboration.
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  • Rapid7 Launches AI-Driven Incident Command Platform
  • Rapid7's 2025 Access Brokers Report Insights

Rapid7, Inc. has announced a significant enhancement to its Command Platform with the introduction of AI-generated risk intelligence. This new feature, accessible via the Remediation Hub, aims to streamline the remediation process by providing security teams with a detailed and actionable view of exposures.

By converting vulnerability data into informed risk intelligence, teams can more effectively prioritize remediation actions, improving internal communication and collaboration to achieve measurable reductions in risk.

Advancements in Vulnerability Intelligence

The company's efforts to advance threat intelligence tools include new capabilities added to its Intelligence Hub. This integrated solution is designed to deliver meaningful insights and context, supporting security teams in accelerating their detection and response initiatives.

According to Forrester, a strategic approach to vulnerability and exposure remediation prioritization remains a critical challenge for 22% of enterprise security decision-makers.

AI-Generated Risk and Vulnerability Insights

The latest effects in AI-generated risk and vulnerability intelligence offer vital insights into exploitability

"Exposures are growing faster than teams can respond," emphasized Craig Adams, Chief Product Officer at Rapid7. "Organizations rely on their security partners to provide the necessary context to prioritize."

The latest developments in AI-generated risk and vulnerability intelligence offer vital insights into exploitability, asset importance, and potential risks, leading to shared understanding and a reduced mean time to remediate (MTTR).

Risk Summaries in the Remediation Hub

The new risk summaries allow organizations to quickly identify affected systems, the surrounding activities, and recommended actions such as patching or implementing compensating controls.

Rapid7's AI-driven summaries blend exploit signals, asset criticality, and vulnerability data into straightforward reports that help prioritize risks efficiently. Each summary includes:

  • Clarity on prioritization based on exploitation likelihood and business impact
  • IT-ready context for ticketing and scheduling changes
  • Urgency based on data from CISA KEV, EPSS, and threat intelligence
  • Effort estimates for patch application and potential blockers

Enhanced Vulnerability Intelligence in Intelligence Hub

Intelligence Hub's latest vulnerabilities intelligence capabilities provide curated threat contexts for exploited CVEs, aiding security teams in prioritizing remediation according to their specific risk profiles. Rapid7's intelligence narrows down relevant vulnerabilities amidst the noise, allowing teams to focus on genuine organizational risks.

The platform utilizes CVE profiles, enhanced by Rapid7 Labs' research, AttackerKB assessments, and public metadata, to enable informed prioritization and mitigation strategies. These insights will soon be available within Remediation Hub, providing additional context on threat actors to assist in vulnerability prioritization.

Starting in late November, AI-generated risk summaries will be available to Exposure Command and Surface Command customers on the Rapid7 Command Platform. Similarly, the Intelligence Hub's new vulnerability intelligence features will be rolled out in the same timeframe.

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Show full press release

Rapid7, Inc., a pioneer in threat detection and exposure management, announced AI-generated risk intelligence as part of the Rapid7 Command Platform. Delivered through Remediation Hub, the new capability accelerates remediation by giving security teams a clear, contextual, and actionable view of each exposure, transforming vulnerability data into risk intelligence-informed decisions that help teams to prioritize remediation, and communicate and collaborate with internal teams to drive measurable risk reduction.

In addition, Rapid7 added new vulnerability intelligence capabilities to Intelligence Hub, the company’s integrated threat intelligence solution designed to provide security teams with meaningful context and actionable insights for accelerated detection and response.

Rapid7’s latest innovations

The gap between detection and action continues to widen. According to Forrester, “lack of comprehensive vulnerability and exposure remediation prioritization strategy is among the biggest IT/security challenges for 22% of enterprise security decision-makers’ organizations.”

As threat actors exploit vulnerabilities within days and security teams face mounting pressure to show measurable risk reduction, organizations need faster, more intelligent ways to decide what to fix first. Rapid7’s latest innovations directly address this need, empowering teams to cut through noise, focus on impact, and remediate exposures with precision and confidence.

Latest innovations around AI-generated risk

“Exposures are growing faster than teams can respond,” said Craig Adams, chief product officer at Rapid7. “Organizations rely on their security partners to give them the context they need to prioritize."

"Our latest innovations around AI-generated risk and vulnerability intelligence provide important insights into exploitability, asset criticality, and potential risk. The result: shared context, fewer debates, and faster mean time to remediate (MTTR).”

AI-generated risk summaries in Remediation Hub

With these new risk summaries, organizations can immediately see which systems are affected, the real-world activity surrounding each risk, and recommend next steps – from patching to applying compensating controls.

By embedding AI-driven context directly into these summaries, Rapid7 enables faster decision-making and stronger alignment between security and IT teams.

Within seconds, Rapid7’s AI-generated summaries fuse exploit signals, asset criticality, and vulnerability data from multiple sources into a concise, plain-language brief that enables teams to quickly prioritize risks.

Each summary provides:

  • Prioritization clarity based on exploitation likelihood and business impact
  • IT-ready context for tickets and change windows
  • Fact-based urgency using CISA KEV, EPSS, and threat intelligence data
  • Effort estimates for patch coverage and blockers

Vulnerability intelligence in Intelligence Hub

With its latest vulnerability intelligence capabilities, Intelligence Hub delivers curated, real-world threat context to exploited CVEs, allowing security teams to effectively prioritize remediation efforts based on their organization’s specific risk.

Rapid7's vulnerability intelligence, available within Intelligence Hub, cuts through the noise and alert storms to identify and surface the vulnerabilities that actually matter, rather than leaving security teams to rely on generic security ratings to decipher what is a true risk for their organization.

Vulnerability intelligence capabilities

Curated CVE profiles, powered by a combination of Rapid7 Labs vulnerability and threat research, real-world vulnerability assessments from AttackerKB, and public metadata, enable actionable, adversary-aware prioritization and mitigation of exploited CVEs for security teams.

These insights will also be integrated into Remediation Hub, providing customers with threat actor context to support their vulnerability prioritization process.

AI-generated risk summaries will begin rolling out to Exposure Command and Surface Command customers in late November within the Rapid7 Command Platform. Vulnerability intelligence capabilities within Intelligence Hub will also begin rolling out in November.

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