Cisco releases Antares: open weight AI for vulnerability research
Cisco has released Antares, a family of open-weight AI models designed for vulnerability research, which can help cybersecurity professionals pinpoint known vulnerabilities within a codebase. The models, Antares-350M and Antares-1B, are available on Hugging Face and have been shown to outperform other models in benchmark testing. By providing compact and efficient models, Antares aims to make AI-assisted security more accessible to smaller security teams and organizations.
- ▪Antares is a family of security small language models purpose-built for vulnerability localization.
- ▪The models, Antares-350M and Antares-1B, are open-weight models available on Hugging Face.
- ▪Benchmark testing shows that these models outperform many powerful closed- and open-weight models at a fraction of the cost.
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July 21, 2026 Leave a Comment Artificial Intelligence - AI Introducing Antares: Highly Efficient Open Weight AI Models for Vulnerability Localization6 min read Amin Karbasi Collaborator(s): Supriti Vijay, Aman Priyanshu, Didier Chapoteau, Arthur Goldblatt, Kimia Majd, Fraser Burch, Jianliang He, Baturay Saglam, Takahiro Matsumoto, Zhuoran Yang Today, Cisco is introducing Antares, a family of security small language models (SLMs) purpose-built for one of the hardest, most time-consuming and expensive problems in security: pinpointing where known vulnerabilities exist within a codebase. We are releasing two of these models—Antares-350M and Antares-1B—as open-weight models now available to the broader community on Hugging Face.
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