The bottleneck in cybersecurity is now verifying, disclosing, and patching the large numbers of vulnerabilities that Mythos-class models can surface.
大多数人认为网络安全的主要挑战是发现漏洞,但作者认为真正的瓶颈在于修复和修补这些漏洞,这颠覆了传统网络安全优先级的认知。
The bottleneck in cybersecurity is now verifying, disclosing, and patching the large numbers of vulnerabilities that Mythos-class models can surface.
大多数人认为网络安全的主要挑战是发现漏洞,但作者认为真正的瓶颈在于修复和修补这些漏洞,这颠覆了传统网络安全优先级的认知。
select known-vulnerable dependency versions 50% more often than humans.
这一统计洞察颠覆了“AI写代码更安全”的迷思。AI代理在优化代码功能性时,往往以牺牲安全性为代价,倾向于选择存在已知漏洞的旧版本依赖。这反映出当前AI模型在训练时对安全维度的忽视,也警示我们在AI辅助开发流程中必须强制引入自动化的安全卡点。
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