Agentic Exposure Validation
Check Point Agentic Exposure Validation (AEV) uses AI agents to reason like an attacker across your environment, proving what’s exploitable in under 10 minutes.
Prove What Attackers Can Exploit. Act Before They Do.
Attackers have already automated reconnaissance. AEV matches that speed, correlating attacker behavior, CVE intelligence, leaked credentials, and live threat data to tell you exactly what’s at risk.
You Can’t Act on Risk You Can’t Prove
挑戰
Security teams are buried in vulnerability findings with no reliable way to know which ones are genuinely exploitable. Theoretical risk lists grow faster than teams can triage them, and manual validation cycles can’t keep up with the volume or speed of agentic attacks.
結果
AEV actively tests each exposure using safe, attacker-style validation in under 10 minutes, so every finding your team receives is proven, evidence-backed, and ready to act on.
Attackers Move Fast. Manual Triage Doesn’t.
挑戰
By the time a finding is triaged, correlated across tools, and assigned for remediation, the window for action has often already closed. Security teams need validation that operates at the same speed as the threat.
結果
AEV runs continuously, autonomously enriching exposure data with live threat intelligence and attacker behavior. It delivers validated findings in minutes, not weeks.
How Agentic Exposure Validation Works
AEV follows a simple process, understanding your environment, enriching with live threat intelligence, building targeted validations, and proving, pivoting, or deleting every finding. It does this without disrupting your systems.
Proven Safely at machine speed.
AEV uses AI agents to reason like an attacker across your specific environment. It correlates external attack surface data, leaked credentials, CVE intelligence, live exploit research, and protection coverage to validate whether an exposure is truly exploitable. It does this safely, using a separate AI reviewer that evaluates each probe for safety, novelty, accuracy, and exploit depth before execution.
- Understand context: analyze the asset, technology, CVE, credential, or exposed code
- Enrich with intelligence: correlate exposure data with live threat intelligence, exploit research, and attacker behavior
- Check existing coverage: verify whether your controls already address the exposure before building a validation path
- Build targeted validation: mirror attacker reasoning without disruptive techniques
- Prove, pivot, or delete: report proven exposures, pivot on blocked paths, delete unproven findings instead of shipping noise
CHECK POINT 相關產品/解決方案
A Unified Solution Covering the Full CTEM cycle: Intelligence-led, Remediation-driven
將風險暴露見解轉化為可以持續幫助各位降低資安風險的行動
Combine threat intelligence, vulnerability prioritization, and safe remediation into a single operational loop so exposures are identified, validated, and closed before attackers can exploit them.
See What Attackers Are Targeting Right Now
Understand which threats pose immediate risk to your business by mapping active attacker behavior directly to your environment.
優先處理能夠降低風險的資安漏洞
串連起可擅用性、可觸及性、威脅活動與業務面影響，以導出更加明智的修復決策。
在不影響業務運作的情況下，有效地解決掉安全性風險問題
Automatically validate and then safely enforce remediation across your security stack without disrupting uptime or operations.
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