Cisco releases small, specialized language models optimized for CVE hunting. They work 4.5× faster than GPT-5.5 and 141× cheaper.

The company is open-sourcing two small-language models designed just to hunt for software bugs.

Cisco Foundation AI has announced Antares, a small language model (SLM) designed for low-cost vulnerability hunting.

Cisco is betting that enterprises will see value in having AI quickly identify the handful of files worthy of investigation by human software vulnerability researchers.

Cisco Foundation AI released Antares, open-weight 350M and 1B models that localize known vulnerabilities across real code repositories.

The new models perform competitively with GPT-5.5 on a security benchmark but at a much smaller fraction of the cost.

Cisco releases small, specialized language models optimized for CVE hunting. They work 4.5× faster than GPT-5.5 and 141× cheaper.

Cisco has released two small, open-source AI models for cybersecurity that detect about 150 times more vulnerabilities per dollar than large AI agents, according to the company's…