Summary is AI-generated, newsdesk-reviewed
  • Rapid7 unveils new AI-driven cloud security tools in Exposure Command for risk management.
  • Runtime validation and DSPM enhance vulnerability detection and prioritize proactive remediation.
  • Continuous monitoring and automated response reduce impact of active threats in cloud environments.

Rapid7, Inc., known for its AI-driven managed cybersecurity operations, has unveiled new cloud security features within Exposure Command, its notable exposure management solution.

The latest enhancements include runtime validation and Data Security Posture Management (DSPM), aimed at helping organizations identify, validate, and prioritize potential risks based on genuine attack pathways and their impact on business operations.

Enhancing Security in Hybrid and Multi-Cloud Environments

As businesses continue to expand across hybrid and multi-cloud infrastructures, traditional security approaches that focus solely on assessments are no longer sufficient.

By incorporating runtime validation and DSPM, Rapid7 is advancing Exposure Command from merely assessing to continuously validating security postures, enabling organizations to proactively reduce exposure across diverse environments. Runtime validation pinpoints vulnerabilities and misconfigurations that are susceptible to exploitation, whereas DSPM contextualizes these risks by linking sensitive data and access identities to genuine attack vectors.

Adapting to Dynamic Cloud Risks

Craig Adams, Rapid7’s Chief Product Officer, emphasized the importance of addressing cloud risks that stem from a combination of vulnerabilities, identities, and critical data.

He remarked, “By embedding runtime validation and data context into Exposure Command, we enable security teams to identify the exposures that pose the greatest risk and prioritize remediation earlier, strengthening resilience before those risks translate into breach impact.”

Key Capabilities of Rapid7’s Cloud Security Tools

  • Continuous Runtime Visibility: Analyze and validate active vulnerabilities within live cloud workloads using eBPF-based sensors and AI for baseline behavior assessment. This technique correlates runtime signals with posture findings and relevant business context.
  • Monitoring AI-Driven Workloads: Continuously monitor and mitigate risks in AI workloads, moving beyond static vulnerability scores by confirming active exposures.
  • Automated Incident Response in the Cloud: Activate automated remediation processes to contain and minimize threats post-detection, including pausing, quarantining, or halting processes.
  • Data-Aware Risk Prioritization: Utilize sensitive data intelligence alongside attacker pathways to consistently classify data and map identity access across various environments, allowing for impact-based remediation prioritization.

Proactive Risk Management

The combined power of runtime validation and DSPM significantly boosts Exposure Command’s effectiveness in identifying and addressing exploitable risks. This empowers organizations to identify and remediate active threats before they manifest into real security breaches.

Rapid7 is set to showcase these new capabilities at the RSAC 2026 Conference in San Francisco, taking place from March 23-26 at booth #S-3201. In addition to demonstrations, Rapid7 will hold sessions detailing the exploitation of Cellular IoT and operations within telecom backbones, with experts Deral Heiland and Christiaan Beek leading these discussions.

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