NetSPI VP of AI Transformation wrote a June 19, 2026 article about how AI can accelerate penetration testing, but without human expertise to validate findings and apply business context, organizations risk confusing faster output with stronger security. Read the preview below or view it online. 

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Will argues that while AI is genuinely useful in penetration testing by accelerating discovery and handling repetitive tasks, organizations risk mistaking faster output for stronger security. The core concern is that AI-generated findings lack the business context needed to distinguish truly exploitable vulnerabilities from noise, since attackers think in chained attack paths rather than the isolated issues AI tends to surface. Strei concludes that AI should act as a force multiplier for human testers, with skilled professionals remaining accountable for validating exploitability and assessing real-world business impact. 

You can read the full article here  

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