Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection for a fraction of the cost
Quick Answer
Cisco has launched two small open AI models, Antares-350M and Antares-1B, for cybersecurity vulnerability detection, claiming they detect 150 times more vulnerabilities per dollar than larger models like GPT-5.5.
Quick Take
In tests, Antares scanned 500 code repositories in 15 minutes for under a dollar, while GPT-5.5 took five hours and cost over $100.
Key Points
- Antares models trained on 72% security data and 15% code search histories.
- Both models run locally, ensuring sensitive code remains within the company.
- Cisco retains a larger 3-billion-parameter model for its own products.
- The larger model reportedly rivals GPT-5.5 and outperforms open models significantly.
- Cisco is exploring an industry consortium for open AI security tools.
Source Excerpt
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 own tests.
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