Testing methods
Autonomous Penetration Testing
Also: AI pentesting · Autonomous pentest
Autonomous penetration testing uses AI agents to perform the work of a human penetration tester - mapping the attack surface, investigating leads, chaining findings into attack paths, and proving impact with a working exploit - without step-by-step human direction. It brings the depth of a pentest to the cadence of continuous deployment.
Key points
- AI agents reason and chain rather than pattern-match.
- Runs continuously, closing the gap between scheduled pentests.
- Every finding is validated with reproducible evidence.
FAQ
Is autonomous penetration testing the same as a vulnerability scanner?
No. A scanner pattern-matches against known signatures and reports possible issues. Autonomous penetration testing investigates like a human tester, chains weaknesses into real attack paths, and proves exploitability before reporting.
Related
Impactr finds and proves whether flaws like this are actually reachable in your own web apps and APIs, with a reproducible exploit as evidence.