State of AI in Pentesting
Our new report captures the views of 400 security and engineering leaders across Europe and the US. Together, they reveal how AI is accelerating software delivery, why traditional security testing is struggling to keep pace, and what organizations want from the next generation of penetration testing.
This is the state of security testing in the age of AI.
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Key findings
AI is already causing security problems
Software changes continuously.
Security validation doesn’t.
Pentesting was built as a point-in-time exercise, designed to validate a system at a specific moment. Modern software doesn't stay still long enough for that model to work reliably anymore.
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“We see teams go from idea to production in hours, so when security testing takes weeks to return results, you're testing a system that no longer exists."

Testing got left behind


Manual pentesting leaves gaps


"Traditional penetration testing was built around periodic assessments, but modern software delivery no longer operates on a periodic schedule. As development velocity increases, especially with AI-assisted software creation, security testing will increasingly need to move closer to the release cycle itself."
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Leaders want speed, not savings
Which characteristics matter most when considering new approaches to security testing? Select all that apply.

