4 Matching Annotations
  1. Last 7 days
    1. The scariest part of Mythos is not that one lab has a gated model. It is that the core workflow primitives behind representative findings are no longer confined to a single lab's private stack.

      这一洞察挑战了公众对AI安全威胁的传统理解:真正的威胁不是某个实验室拥有受限访问的模型,而是核心工作流程的原型已经公开可用。这意味着攻击者和防御者都可以访问相同的基础技术,使威胁民主化而非集中化。

  2. Apr 2026
    1. Architected before AI, these SIEM systems are wooden shields in an era of autonomous attackers.

      这个比喻非常有力地揭示了传统安全信息与事件管理(SIEM)系统在面对AI驱动的攻击时的根本性脆弱性。传统系统就像木盾面对现代武器,这种对比暗示了安全架构需要根本性重构,而非渐进式改进。

    1. The window between a vulnerability being discovered and being exploited by an adversary has collapsed—what once took months now happens in minutes with AI.

      令人惊讶的是:AI的出现将漏洞被发现到被利用的时间窗口从几个月缩短到了几分钟。这种根本性的变化意味着传统的安全响应机制已经不再适用,网络安全领域正在经历前所未有的加速变革。