Continuously validate security controls through automated, real-world testing.
Instead of relying on static inventories, our system observes and maps assets the way an attacker would.
Autonomous AI agents behave like real adversaries: they plan, execute, evaluate, and adapt test strategies based on environment feedback. They simulate real attacker techniques and validate exploitability in safe, controlled ways.
Live attack graphs are auto-generated and continuously updated to represent plausible attack paths. Every validated route is grounded in real testing results
Remediation workflows are orchestrated and validated automatically, closing the risk loop.
Security validation no longer happens once a year. It’s ongoing, resilient, and aligned with rapid change.
Rather than overloading teams with low-value alerts, the system surfaces validated exploit paths that matter to operations and business continuity.
Security teams can scale without proportional headcount increases. Manual testing becomes focused and strategic
This autonomous testing generates reliable evidence for regulatory audits, cyber insurance, and board-level reporting.
Designed for operational environments, our automated security testing is built to be safe by default. The platform operates with built-in operational awareness, ensuring no disruption to live systems while respecting safety constraints and maintenance cycles. This approach enables continuous security validation without downtime and integrates seamlessly with existing workflows and tooling, allowing organizations to improve security without impacting operations.