Cisco's Foundation AI team released Antares-1B, a 1 billion parameter open-weight model that localizes software vulnerabilities in code repositories and runs on a single GPU, consuming under 5GB of VR…
Cisco released Antares-350M and Antares-1B, open-weight AI models that find known vulnerabilities in source code locally, addressing security teams' concerns about sending code to the cloud and high c…
Cisco released two open-weight AI models, Antares-350M and Antares-1B, that it says beat Google's Gemini 3 Pro and rival GPT-class systems at finding software bugs while running locally for under $1 p…
Cisco released two small open-source AI models, Antares-350M and Antares-1B, that detect software vulnerabilities at a fraction of the cost of larger models. In Cisco's tests, Antares scanned 500 code…
Cisco's new Antares-1B open-weight model for vulnerability localization tied GPT-5.5 on the company's VLoc Bench with a 0.221 F1 score while costing $1 versus $141 for the frontier model, but the best…
Cisco Foundation AI released two open-weight language models, Antares-350M and Antares-1B, designed specifically for finding security vulnerabilities in codebases. On Cisco's 500-entry vulnerability d…
Cisco released two open-weight security small language models, Antares-350M and Antares-1B, that specialize in finding known bugs in existing codebases, outperforming larger models like Google's Gemin…