Is AI pentesting as good as a human pentester?
An Intruder engineer argues AI pentesting finds complex bugs that checklist-driven human tests miss.
An Intruder engineer who works on the company's AI pentester compares agent testing with human pentests. Intruder rejected both fully scripted vulnerability checklists and unconstrained agents, settling on broad roles plus guardrails so agents do not cause damage. The white-box agents receive source code and, the author says, found a complex authentication bypass that survived five years of human tests. Results still vary between runs, and agents cannot ask the customer clarifying questions.
- Intruder says rigid per-bug agent roles missed or mislabeled findings.
- White-box agents read source and inferred access-control expectations without being told.
- Agents found a complex auth bypass missed across five years of human tests.
- Agents cannot ask the customer questions and are kept cautious to avoid going out of scope.
From the original article
7 min read at bleepingcomputer.com
AI pentesting can uncover vulnerabilities missed by human testers, but it also has limitations in consistency, risk assessment, and understanding business context. Intruder compares the strengths and weaknesses of both approaches and explains where AI agents can improve security testing. [...]
By Sponsored by Intruder · bleepingcomputer.com
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