The hidden cost of agentic pentesting

Agentic AI penetration-testing platforms can provide continuous, scalable testing of large attack surfaces and identify common vulnerabilities, but their results require careful evaluation because many have been validated through public vulnerability disclosure and bug bounty programs where submissions may be duplicates, theoretical, or otherwise low-signal. The passage argues that skilled human researchers, often using advanced AI models themselves, continue to produce most high-severity findings, making claims that autonomous agents consistently outperform humans worthy of scrutiny. It also highlights that public programs’ existing triage teams can absorb the cost of reviewing agent-generated reports, potentially shifting operational burdens onto program operators and researchers. Bugcrowd positions its Savant Pathseeker offering as an alternative that combines agentic coverage with evidence-based validation and reproducible proof of exploitability, urging security leaders to ask vendors how unconfirmed findings are filtered and who is responsible for reviewing them.

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