The Blind Spots of Agentic Pentesting and How to Close Them
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AI-powered penetration testing is gaining traction for its ability to map complex attack paths, but according to Picus Security, these agentic tools come with significant blind spots. Safety restrictions and network limitations mean many assets and vulnerabilities are left untested, creating gaps that attackers could exploit.
The core issue is that agentic pentesting tools operate under constraints, whether from built-in safety guardrails or limited network reach, which prevents them from fully exercising an environment the way a real adversary would. This leaves portions of the attack surface unexamined.
To address these shortcomings, Picus Security recommends combining agentic pentesting with exposure validation and breach simulation. This layered approach helps organizations close the gaps that automated testing alone cannot cover, providing a more complete picture of their security posture.
- Agentic pentesting can surface complex attack paths but is constrained by safety restrictions and network limitations
- Many assets and vulnerabilities remain untested as a result
- Combining agentic pentesting with exposure validation and breach simulation helps close these gaps
How is your organization handling the limitations of AI-driven pentesting tools, and are you layering in validation or simulation to fill the gaps?
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