Cisco Antares AI models hunt bugs faster than Gemini and GPT, cost under $1 to scan 500 repos
Cisco unveiled Antares, a family of small language models designed for vulnerability detection that outperform Google Gemini and rival OpenAI GPT systems. The open-weight AI models run locally, scan 500 repositories in 15 minutes for less than $1, and keep proprietary code on-premises. Cisco is gating access due to dual-use risks, as tools that find bugs can also help attackers exploit them.