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

思科发布了两个用于网络安全的小型开放AI模型。Antares-350M和Antares-1B：https://huggingface.co/collections/fdtn-ai/antares 可以发现软件代码中的漏洞。思科的宣传重点是性价比。开发者Aman Priyanshu在X上声称：https://x.com/AmanPriyanshu6/status/2079703080640364848，最小的模型每花一美元发现的漏洞数量大约是大型AI代理（如Cognition的Devin Security Swarm）的150倍。根据Axios的报道：https://www.axios.com/2026/07/21/cisco-open-source-ai-models-cybersecurity，思科自己的测试显示，Antares大约用15分钟扫描了500个代码仓库，费用不到一美元。而GPT-5.5完成同样任务则需要五个小时，花费超过100美元。

这两个模型都可以在本地运行，因此敏感代码不会离开公司。技术报告：http://cisco-foundation-ai.github.io/antares/technical-report.pdf 表示，这些模型大约72%的训练数据来自安全概念数据，15%来自代码搜索历史。

思科正在保留一个更大的三十亿参数版本用于自己的产品。据报道，该版本的性能接近GPT-5.5，并且打败了体积达到其200倍的开放模型。公司也在探索建立一个开放AI安全工具的行业联盟。Ad DEC_D_Incontent-1 Ad

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Cisco has released two small, open AI models for cybersecurity. Antares-350M and Antares-1B：https://huggingface.co/collections/fdtn-ai/antares spot vulnerabilities in software code. Cisco's pitch is bang for the buck. Developer Aman Priyanshu claims on X：https://x.com/AmanPriyanshu6/status/2079703080640364848 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：https://www.axios.com/2026/07/21/cisco-open-source-ai-models-cybersecurity, 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：http://cisco-foundation-ai.github.io/antares/technical-report.pdf 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. Ad DEC_D_Incontent-1 Ad

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