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What Is AI Pentesting and How Does It Work?

AI pentesting uses reasoning-capable models to continuously find and validate the flaws scanners miss, especially broken authorization and business-logic abuse.
Unlike a scanner that matches known patterns, an AI pentester reasons about what an application is supposed to do and then tries to subvert that intent, the way a human penetration tester would — but continuously and at scale. The category emerged in 2025–2026 as large language models became capable enough to perform the reasoning that penetration testing has always required, at a cost low enough to run continuously rather than once or twice a year. A modern AI pentester is not a single model pointed at a URL. It's an orchestrated system with four parts: A reasoning model that plans the assessment: reconnaissance, hypothesis, probing, exploitation, and chaining, the way a human tester approaches an engagement. A reasoning model that plans the assessment: reconnaissance, hypothesis, probing, exploitation, and chaining, the way a human…
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