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 is an autonomous AI penetration testing platform - it investigates, chains, and proves web and API vulnerabilities with reproducible evidence.
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