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Ajith Thaduri

Security testing with AI

Using AI to find security holes in software — including in other AI products — and proving each one is real.

I built an AI-driven penetration testing harness that reasons about the specific application, reproduces every finding before reporting it, and has a dedicated module for AI features. It only ever runs with written authorisation.

  • What this covers
  • Agentic test generation aimed at the specific target
  • Automatic reproduction so reports contain no noise
  • Testing AI features: injection, tool misuse, agent reach
  • Impact-ranked findings, fixes attached, re-tests to confirm

Work in this area

Case study · Software products — with a module for AI applicationsAI-Driven Penetration Testing HarnessA tool that uses AI to look for security holes the way a human tester would — thinking about each specific app — and proves every problem is real before reporting it.

Product engineering teams

AI-Led Security Engagement

An authorised penetration test run through the harness — the model handling recon and targeted test generation, with every finding reproduced before it reached the client. Delivered ranked, with fixes attached and a re-test to confirm them.

Contact

Working on something
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I'm open to AI engineering, architecture and training work. Tell me what you're building and what the constraints are — that's usually enough to start.

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