Antares-350M
An open-weight security-focused small language model that helps developers and security teams locate known vulnerability clues in codebases and produce an initial investigation output.
Tool overview
Current evidence suggests Antares-350M is worth considering as a specialized small model for vulnerability localization, but the evidence proves attention more than mature, field-tested usefulness. The sources here mainly support a few basic facts: it is part of Cisco’s Antares family, released with open weights on Hugging Face, small in size, and aimed at finding known vulnerabilities in code. It is not a general-purpose coding LLM, and it is not a full SAST product; a better analogy is a lightweight security model component that can be embedded into larger security or agent workflows.
In practical use, social posts repeatedly describe it as pinpointing known vulnerabilities, identifying relevant files, and fitting terminal-agent or agentic workflows. That makes it more suitable for narrowing search scope, triaging suspicious files, or serving as one step inside an automated security pipeline, rather than replacing human review with final security conclusions. However, the current evidence set does not include strong hands-on evaluations, deep tutorials, benchmark breakdowns, or production case studies.