[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"aihot-art-102421":3},{"itemId":4,"vertical":5,"category":6,"source":7,"score":8,"title":9,"summary":10,"analysis":11,"url":12,"coverUrl":13,"direction":13,"marketSignal":13,"publishedAt":14},"102421","ai","产品发布\u002F更新","The Decoder",58,"思科押注小型开源网络安全模型，以极低成本超越GPT-5.5漏洞检测能力","思科发布小型开源网络安全模型，在漏洞检测上每美元检测量比大型AI代理高约150倍，成本极低。","思科发布两款小型开源网络安全AI模型，声称在漏洞检测上每美元成本比GPT-5.5多检测约150倍漏洞。\n· 模型为开源，专为网络安全设计，强调高效低成本，适合企业部署。\n· 思科内部测试显示，小型模型在漏洞检测性价比上远超大型通用模型。\n· 此举反映行业趋势：针对特定任务的小型专业化模型正挑战通用大模型的主导地位。\n看点：思科证明小模型在特定领域可超越大模型，推动AI应用向高效、低成本方向演进。","https:\u002F\u002Fthe-decoder.com\u002Fcisco-bets-its-small-open-cybersecurity-models-can-outperform-gpt-5-5-at-vulnerability-detection-for-a-fraction-of-the-cost\u002F",null,"2026-07-23 00:28:08"]