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# Cisco’s AI aims to shrink haystacks to help security teams hunt needles

**[InfoWorld](https://daily.dev/sources/infoworld)** · 3 min read · 0 upvotes · 0 comments

## Summary

Cisco has released Antares, a family of open-weight AI models (350M, 1B, and 3B parameters) designed to help security teams narrow down large codebases to a shortlist of files likely to contain a specific class of vulnerability, identified by CWE description. Rather than detecting specific CVEs or generating patches, Antares acts as a search assistant that ranks source files by relevance, reducing investigation fatigue. The 3B model reportedly approaches GPT-5.5 performance on Cisco's internal vulnerability localization benchmark while being small enough for single-GPU local deployment. Models are available on Hugging Face and support SARIF output, CLI-based CWE scans, and local inference to keep proprietary code within organizational trust boundaries. Cisco positions Antares as complementary to — not a replacement for — existing tools like Semgrep or CodeQL and human security analysts.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/4200143/ciscos-new-ai-model-tells-code-reviewers-where-to-look-for-vulnerabilities.html>

---

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

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