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title: AI Pentesting Vendor Checklist: What to Look For | daily.dev
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# AI Pentesting Vendor Checklist: What to Look For

**[Aikido Security](https://daily.dev/sources/aikido-security)** · 7 min read · 0 upvotes · 0 comments

## Summary

A buyer's checklist for evaluating AI pentesting vendors, covering validation and signal quality, depth of testing, code access, visibility, speed, operational reliability, scope control, isolation, onboarding, and model flexibility. It argues most vendors look strong in a demo but differ sharply in practice, and highlights code access as the single biggest factor improving results, citing a study across 1,000+ AI-driven pentests where code access surfaced a median of 7x more high/critical vulnerabilities at half the cost per finding. Includes field examples: a financial services platform where a 120-hour manual pentest found zero issues versus a two-hour AI-agent test finding 13 valid issues, and Tyro Payments where AI pentesting found 30 issues (nine high) in 5.5 hours versus five issues (one high) from 15 days of human testing. Ends with red flags to watch for and a quick vendor checklist.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.aikido.dev/blog/ai-pentesting-vendor-checklist>

## Questions this post answers

### Does giving an AI pentesting tool access to source code actually improve results?

Yes, code access substantially improves AI pentesting outcomes. Across more than 1,000 AI-driven penetration tests, engagements with code access surfaced a median of 7x more high and critical vulnerabilities than tests without it, while costing roughly half as much per finding, making code access the single most impactful factor in testing depth.

_Teams weighing pentesting vendor options can track this kind of comparative security research on daily.dev._

### How does AI penetration testing speed compare to traditional manual pentesting?

AI-driven testing with code access can be dramatically faster while finding more issues. One financial services platform's 120-hour manual pentest returned zero findings, but the same application tested with AI agents that had codebase access took just over two hours and surfaced 13 valid issues, including three high-severity findings the manual test missed entirely.

_Anyone comparing pentesting approaches can follow real-world benchmarks like this on daily.dev._

### What results did Tyro Payments get comparing AI pentesting to human penetration testers?

Tyro Payments, an Australian financial payments firm, found its incumbent human penetration testers took approximately 15 days and found five issues (one high severity), while Aikido's AI penetration testing took five and a half hours and found approximately 30 issues (nine high severity), on the same new health product before launch.

_Security leaders benchmarking pentesting vendors can track case studies like this on daily.dev._

## Similar posts on daily.dev

- [Evaluate AI Pentesting Vendors](https://daily.dev/posts/evaluate-ai-pentesting-vendors-kb5apblzr) · Aikido Security · 0 upvotes · 0 comments
- [AI pentesting: what it is, and what it can actually find](https://daily.dev/posts/ai-pentesting-what-it-is-and-what-it-can-actually-find-w5c7pfldb) · Security Boulevard · 1 upvotes · 0 comments
- [AI pentesting tools are generating more findings than security teams can validate, new survey finds](https://daily.dev/posts/ai-pentesting-tools-are-generating-more-findings-than-security-teams-can-validate-new-survey-finds-am1p6nuyg) · IT Security Guru · 0 upvotes · 0 comments
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---

Tags: [#security](https://daily.dev/tags/security), [#ai-agents](https://daily.dev/tags/ai-agents), [#appsec](https://daily.dev/tags/appsec)

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