Cisco 发布开源网络安全模型 Antares-350M 和 Antares-1B，称其漏洞检测性价比远超 GPT-5.5
Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection for a fraction of the cost
Cisco 发布两款小型开源网络安全模型 Antares-350M 和 Antares-1B，用于检测软件代码漏洞。据 Cisco 测试，Antares 扫描 500 个代码仓库耗时约 15 分钟、成本不到 1 美元，而 GPT-5.5 完成相同任务需 5 小时、花费超 100 美元。
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.
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.
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.
Source:
Paper
|
Hugging Face
|
via X
|
via Axios
来源：The Decoder：AI News · the-decoder.com