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Buyer's Guide for AI Pentesting
AI pentesting is moving quickly, but most buyers still don't have a clear way to evaluate platforms. This guide combines independent research, real-world testing data, and practical evaluation criteria to help security teams compare AI pentesting vendors, understand the trade-offs, and choose the right approach for their organisation.
Sooraj Shah is Content Marketing Lead at Aikido Security. He has a background as a journalist for publications such as the BBC, the FT, Infosecurity Magazine and SC Magazine, interviewing CEOs, CISOs, CTOs and CIOs, and as a content marketer for B2B tech companies and start-ups.
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Key Findings
A practical evaluation checklist for comparing AI pentesting vendors fairly
Analysis of more than 1,000 AI pentests, including why code access uncovers significantly more vulnerabilities at a lower cost
Real-world comparisons between AI and manual pentesting across multiple customer engagements
An anonymised case study where AI pentesting uncovered 13 issues after a 120-hour manual pentest reported none
Summary
Buying AI pentesting isn't just about comparing features. It means understanding how platforms test, validate, secure, and continuously improve applications.
This guide explains what good looks like, highlights common red flags, and brings together research, customer comparisons, and practical advice to help buyers make an informed decision.
What you’ll learn
Sooraj Shah is Content Marketing Lead at Aikido Security. He has a background as a journalist for publications such as the BBC, the FT, Infosecurity Magazine and SC Magazine, interviewing CEOs, CISOs, CTOs and CIOs, and as a content marketer for B2B tech companies and start-ups.