Vulnerability Risk Management

Move past static severity scores and black box risk scoring models that don’t take into account existing security controls. Automatically test every CVE discovered across your attack surface including runtime memory against all necessary exploit conditions to prove they could be used by an attacker in the context of a breach.

Analyze vulnerability exposures in a broader context, with deep asset metadata and situational awareness informed by PostureDNA. Extract actionable intelligence from asset telemetry and agentless network scans to understand what an asset is, it’s role in the organization and how an attacker could weaponize it to compromise your critical assets and data.

Break down vulnerability management silos by bringing together findings from on-prem network and cloud scanners in one place. Using a shared prioritization model and reporting structure ensures teams can communicate risk in a common language and track posture improvements holistically.

Validate the efficacy of intended fixes whether its a patch or a downstream control with continuous testing in a digital twin. By continuously re-testing exposures after remediation, teams can eliminate the guesswork and ensure issues don’t come back over time.

Align with with regulatory frameworks like PCI DSS, ISO 27001, NYDFS with agentless network scanning that sets CVEs in the context of broader attack paths, not just severity scores. Security teams no longer need to make a choice between compliance and evolving their proactive security programs around today’s attack surface and threat landscape.