GoKawiilPicus Security details gaps in AI-driven penetration testing tools
A Picus Security engineer outlines how agentic pentesting—where AI agents autonomously run reconnaissance, exploitation and reporting steps—has emerged as a faster alternative to scheduled automated pentests, citing Picus's own Swarm product as an example. The piece argues this approach can uncover exploit chains humans might miss, but notes it carries tradeoffs, including heavy token/compute usage, and identifies blind spots that need to be addressed.
GoKawiil's interpretation of the reporting above, not reported fact.
The account suggests that as attackers increasingly use AI to weaponize new vulnerabilities within hours, defenders may need testing cadences to match, pushing pentesting from scheduled audits toward continuous, AI-driven processes. Because this analysis comes from a vendor with its own agentic pentesting product, its framing of blind spots and solutions should be read partly as a case for adopting such tools. The cost and reliability tradeoffs mentioned could become a broader industry debate as more vendors build similar offerings.
- Agentic pentesting uses multiple AI agents to dynamically run a full pentest cycle, unlike scheduled traditional tools.
- Picus Security's Swarm product uses five specialist agents coordinated by an orchestrator called Numi AI.
- The approach can surface exploit chains faster than humans but consumes significant computing resources and has identified blind spots.
Source: bleepingcomputer.com, 2026-10-14
Published there as: “The Blind Spots of Agentic Pentesting and How to Close Them”
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