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title: Cisco’s tiny open-weight AI hunts bugs, beating Gemini
description: Cisco&#x27;s Foundation AI team has released two small open-weight models, Antares-350M and Antares-1B, designed specifically to locate known vulnerabilities in...
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og:description: Cisco&#x27;s Foundation AI team has released two small open-weight models, Antares-350M and Antares-1B, designed specifically to locate known vulnerabilities in...
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# Cisco’s tiny open-weight AI hunts bugs, beating Gemini

**[The Next Web](https://daily.dev/sources/tnw)** · 3 min read · 0 upvotes · 0 comments

## Summary

Cisco's Foundation AI team has released two small open-weight models, Antares-350M and Antares-1B, designed specifically to locate known vulnerabilities in codebases. Unlike general-purpose frontier models, Antares works like an investigator — starting from a vulnerability description, searching code, and returning ranked files most likely to contain flaws. On Cisco's 500-task benchmark, Antares-1B reportedly beats Gemini 3 Pro, while the unreleased 3B model outperforms GPT-5.5. Speed and cost are major differentiators: 500 repos scanned in 15 minutes for under $1, versus 5 hours and $100–$150 for frontier models. Because the models are small and run locally, proprietary source code never leaves a company's own machines. Access is gated to academic, nonprofit, and public-sector security teams to prevent misuse, with the most powerful 3B model withheld from public release entirely.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/cisco-antares-open-weight-bug-hunting-ai-vulnerability>

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Tags: [#security](https://daily.dev/tags/security), [#cisco](https://daily.dev/tags/cisco)

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