Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection for a fraction of the cost
Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection for a fraction of the cost Matthias Bastian View the LinkedIn Profile of Matthias Bastian Jul 22, 2026 Cisco has released two small, open AI models for cybersecurity. Antares-350M and Antares-1B spot…
Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection for a fraction of the cost Matthias Bastian View the LinkedIn Profile of Matthias Bastian Jul 22, 2026 Cisco has released two small, open AI models for cybersecurity. Antares-350M and Antares-1B spot vulnerabilities in software code. Cisco's pitch is bang for the buck. Developer Aman Priyanshu claims on X that the smallest model catches about 150 times more vulnerabilities per dollar than large AI agents like Cognition's Devin Security Swarm. In Cisco's own tests, according to Axios, Antares scanned 500 code repos in about 15 minutes for under a dollar. GPT-5.5 took five hours and cost over $100 for the same job. Cisco's Antares models aim to offer the best value for money in vulnerability detection. | Image: Aman Priyanshu via X Both models run locally, so sensitive code never leaves the company. The technical report says the models were trained on roughly 72 percent security-concept data and 15 percent code search histories. Cisco is keeping a larger three-billion-parameter version for its own products. That version reportedly performs close to GPT-5.5 and beats open models up to 200 times its size. The company is also exploring an industry consortium for open AI security tools.AdDEC_D_Incontent-1Ad AI News Without the Hype – Curated by Humans Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section. Subscribe now Source: Paper | Hugging Face | via X | via Axios Ask about this article… SearchSource: The Decoder — Published — Category: Image AI