Check Point Software has launched Agentic Exposure Validation (AEV), a new AI-driven capability within its Exposure Management platform that uses autonomous agents to reason like attackers and provide security teams with hard evidence of what is genuinely exploitable in their environment, before adversaries can act on it.
The launch comes as the threat landscape undergoes a fundamental shift. Frontier AI models are now capable of autonomously identifying and weaponising vulnerabilities at machine speed, compressing the mean time from CVE disclosure to confirmed exploitation from 2.3 years in 2018 to roughly 10 hours in 2026. At the same time, 72.7% of exploited CVEs in 2026 are hitting as zero-days, up from just 16.1% eight years ago.
Beyond Severity Scores
Traditional vulnerability management has long relied on static severity scores, leaving security teams to sift through thousands of flagged issues without knowing which represent a real, reachable risk. AEV takes a materially different approach: rather than assigning a score and moving on, it deploys AI agents that work through each potential exposure using logic that mirrors attacker reasoning.
The agents correlate exposure data with asset context, live threat intelligence, existing control coverage, and known exploit research to determine whether a path to compromise actually exists. When a route is blocked by an existing control, AEV pivots to an alternative attack path. If no viable path exists, the threat is discarded. If exploitation is feasible, the system produces direct evidence, giving security teams the confidence to prioritise and act.
Early customer engagements have already shown the capability of generating novel exploits for dozens of vulnerabilities that had no previously published exploit code, illustrating the analytical depth of the agents.
Closing the AI Arms Race Gap
Yochai Corem, General Manager of Exposure Management at Check Point, said the product addresses a problem that has become existential for enterprise security teams: “The era of autonomous, AI-driven exploitation is here. Frontier AI models are attacking critical vulnerabilities at scale, without human steering. Security teams are already inundated and cannot effectively address that emerging threat.”
Corem added that AEV is designed to put defenders on equal footing: “Agentic Exposure Validation is our answer: AI agents that reason like attackers reviewing your organisation’s digital surface from the outside with our unique threat intelligence context, and prove what is actually exploitable, providing security teams the evidence and the remediation to act smartly and effectively before attackers do.”
A Critical Piece of CTEM
Check Point positions AEV as a validation layer within Continuous Threat Exposure Management (CTEM) programmes, moving organisations from discovery and prioritisation into evidence-based exposure reduction. The validation step has historically been manual, slow, and resource-intensive. AEV’s safe proving loop, analysing assets and CVEs, enriching findings with live Check Point threat intelligence, verifying whether existing controls already block the path, and building targeted validation without disruptive techniques, is designed to make that step autonomous and continuous.
Agentic Exposure Validation is available now as part of Check Point Exposure Management. Organisations can request a complimentary AEV scan to see what an agentic attacker would uncover on their external attack surface.