Are AI-driven tools actually improving penetration testing?

Lately, I’ve been rethinking parts of my pentesting workflow as AI-driven tools become more common. It honestly feels like the way I approach testing is starting to change.

Here’s what I’ve noticed so far:

  • Recon is noticeably faster

  • Attack surfaces become clearer early on

  • Less time spent on repetitive checks

  • Helps guide where to test deeper

  • Still struggles with business logic

  • Human validation is still essential

I don’t see AI replacing pentesters anytime soon, but it does seem to be shifting my work efficiency.

Curious how others are seeing this in their day-to-day work. Is AI genuinely improving your testing process, or mostly helping you test more quickly?

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Are you familiar with burp suite pro version. Are you still using security investigation tools with an AI layer on top or have you found a specific AI tool for security testing?

If the latter how does this compare with a tester using non-ai tools like burp suite or similar?

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I agree, especially on the business logic point. No AI tool I’ve used has reliably caught multi-step auth flaws or subtle privilege escalation chained across workflows. That still needs a tester who understands how the app is supposed to behave.

That said, AI pentesting tools like XBOW, ZeroThreat AI, and Strix have changed my workflow. Discovery is faster, coverage is wider, and I spend more time validating real risk instead of false positives. Surely, AI is not here to replace us; it is here to serve as our leverage. And in my lens, AI-powered tools are actually improving pentesting.

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