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# AI That’s Too Dangerous For You? What we learned from S.A.T.A.N

**[IBM Technology](https://daily.dev/sources/ibmtechnology)** · 12 min read · 0 upvotes · 0 comments

## Summary

AI models are now capable of finding zero-day vulnerabilities at unprecedented scale and speed, including a 27-year-old bug in OpenBSD. Drawing a parallel to the 1990s controversy around S.A.T.A.N. (System Administrator Tool for Analyzing Networks), the argument is made that this is a dual-use technology debate we've seen before. The same concerns about lowering the barrier for attackers were raised then, yet vulnerability scanners became an essential defensive tool. The recommended path forward includes responsible disclosure practices, integrating AI-powered scanning into DevSecOps pipelines, and ensuring defenders use these tools as aggressively as attackers. Mozilla's use of AI to find and fix 271 vulnerabilities in Firefox 150 is cited as evidence that the technology can benefit defenders. The core message: AI vulnerability discovery is inevitable and uncontainable, so the race is now between good actors plugging holes and bad actors exploiting them.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=UE_vuadQrJ0>

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---

Tags: [#security](https://daily.dev/tags/security), [#devsecops](https://daily.dev/tags/devsecops), [#ai-security](https://daily.dev/tags/ai-security), [#zero-day](https://daily.dev/tags/zero-day)

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