--- title: AI pentesting tools are generating more findings than... description: A survey of 158 security practitioners by Pentest-Tools.com reveals that AI-assisted pentesting tools are creating a validation backlog rather than saving... canonical: https://daily.dev/posts/ai-pentesting-tools-are-generating-more-findings-than-security-teams-can-validate-new-survey-finds-am1p6nuyg twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AI pentesting tools are generating more findings than security teams can validate, new survey finds | daily.dev og:description: A survey of 158 security practitioners by Pentest-Tools.com reveals that AI-assisted pentesting tools are creating a validation backlog rather than saving... og:url: https://daily.dev/posts/ai-pentesting-tools-are-generating-more-findings-than-security-teams-can-validate-new-survey-finds-am1p6nuyg og:image: https://api.daily.dev/og/posts/AM1p6nUYG.png og:image:alt: AI pentesting tools are generating more findings than security teams can validate, new survey finds og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # AI pentesting tools are generating more findings than security teams can validate, new survey finds **[IT Security Guru](https://daily.dev/sources/itsecurityguru)** · 5 min read · 0 upvotes · 0 comments ## Summary A survey of 158 security practitioners by Pentest-Tools.com reveals that AI-assisted pentesting tools are creating a validation backlog rather than saving time. 87.8% of respondents said AI-generated findings required significant manual validation, and nearly 30% of free-text frustrations cited false positives, hallucinated exploits, or fabricated CVEs. One practitioner reported 250 of 300 AI-generated findings were junk. Only 20.3% of teams had workflows to handle 500+ findings from a single engagement. AI usage is highest in scanning and report writing but drops sharply in phases requiring live judgment like exploitation and lateral movement. Business logic flaws remain a consistent blind spot for AI tools. Meanwhile, 75.3% of practitioners already test AI-powered or LLM-integrated applications, and stakeholder pressure for more frequent testing is rising. Testing cadence — not org size — emerged as the strongest predictor of a team's ability to cope with AI-generated volume. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [AI Decline? 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