Summary is AI-generated, newsdesk-reviewed
  • Rapid7's Exposure Command now includes runtime validation for cloud security threat mitigation.
  • Enhancements like DSPM help identify, prioritise risks based on real-world attack paths impact.
  • Automated incident response neutralises threats in hybrid, AI-driven cloud workloads.

Rapid7, Inc., a company specialising in AI-driven managed cybersecurity, has unveiled enhanced cloud security features within its Exposure Command product. These advancements include runtime validation and Data Security Posture Management (DSPM), offering organisations the ability to identify, confirm, and prioritise exploitable risks based on actual attack scenarios and their potential business impact.

As organisations adopt hybrid and multi-cloud systems, their security measures need to transition from reactive assessments to continuous validation. Rapid7's latest updates aim to facilitate this shift by moving from simply assessing security to proactively mitigating risks across diverse environments. Runtime validation identifies which vulnerabilities and misconfigurations can be actively exploited, while DSPM provides essential context by connecting sensitive data and identity access with real attack scenarios.

Addressing complex cloud risks

Craig Adams, Rapid7's Chief Product Officer, commented, "True cloud risk happens at the intersection of vulnerabilities, identities, and sensitive data in production. By embedding runtime validation and data context into Exposure Command, we enable security teams to identify the exposures that pose the greatest risk and prioritise remediation earlier, strengthening resilience before those risks translate into breach impact."

New Capabilities for Cloud Security

The latest capabilities within Rapid7’s Exposure Command include:

  • Continuous runtime visibility: This feature enables the analysis of live cloud workloads, identifying which vulnerabilities and misconfigurations are currently exploitable. Using eBPF-based sensors and AI, the system correlates runtime signals with baseline attitudes and business context.
  • Monitoring AI-driven workloads: The solution continuously observes AI agents in unpredictable cloud settings, moving past static vulnerability scoring to verify active exposures within AI workloads.
  • Automated incident response: Upon threat identification and verification, automatic remediation actions are executed, such as pausing or isolating processes to control and neutralise potential threats.
  • Data-aware risk prioritisation: By aligning sensitive data insight with attacker accessibility, the system continuously discovers and classifies sensitive data, mapping identity access across cloud, SaaS, and hybrid systems. This approach enables remediation prioritisation based on the potential impact of a breach rather than just vulnerability severity.

Advancing threat remediation

Combining runtime validation and DSPM elevates Exposure Command's capacity to pinpoint and prioritise exploitable risks, allowing organisations to detect and address active threats before they escalate into genuine dangers. Rapid7 will showcase these new capabilities, alongside recent innovations in their Managed Detection and Response (MDR) service, at the RSAC 2026 Conference in San Francisco, from March 23 to 26 at booth #S-3201.

The company will hold sessions addressing critical topics in cybersecurity, including "Exploiting Cellular IoT Pathways to Compromise Trusted Access," led by Principal Security Researcher Deral Heiland on March 24, and "Sleeper Cells in the Telecom Backbone: Covert Ops," presented by VP of Cyber Intelligence Christiaan Beek on March 26.

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