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 Foundation AI released Antares, a family of small language models (350M and 1B parameters) that localize known vulnerabilities inside real codebases. Antares-1B achieves 0.209 File F1 on the Vul…
Cisco Systems Inc. released Antares, a family of small language models for locating known security vulnerabilities in codebases, and made the first two models (Antares-350M and Antares-1B) available a…
Cisco Foundation AI open-sourced FAPO, a Claude Code-driven system that autonomously optimizes multi-step LLM pipelines by attributing failures at the step level and proposing variants. In evaluations…