We’re going through a critical inflection point for cybersecurity in real time.
我们正在实时经历 cybersecurity（网络安全）的一个关键拐点。
YouTube: Spotify:
YouTube：Spotify：
The attackers have AI. So do the defenders. Cybersecurity has a new shape: AI is both the threat and the only viable solution. @nikesharora, CEO of @PaloAltoNtwks, joined me at @southpkcommons to break down what’s next. (00:30) Big problems vs. fast wins (04:00) Joining Google (07:00) Larry Page's product obsession (10:00) He read every hiring packet himself (13:00) What Silicon Valley gets wrong about Masa Son (16:00) Successful founders never wish they took less risk (17:00) Joining Palo Alto knowing nothing about cybersecurity (20:00) What incumbents got wrong when ChatGPT launched (23:00) Security was never built into AI (28:00) No enterprise knows what's running inside its stack (31:00) AI finds bad code faster than humans ever could (35:00) The only way to fix the chaos is more AI (38:00) AI won't just automate work—it raises the floor (41:00) Foundation models vs. specialized stacks (45:00) Why communication is 30% of the job at scale
攻击者拥有 AI。防御者也一样。cybersecurity（网络安全）呈现出一种新形态：AI 既是威胁，也是唯一可行的解决方案。@nikesharora，@PaloAltoNtwks 的 CEO，与我一同在 @southpkcommons 讨论了接下来会发生什么。（00:30）重大问题 vs. 快速见效的成果（04:00）加入 Google（07:00）Larry Page 对产品的痴迷（10:00）他亲自阅读每一份招聘材料（13:00）Silicon Valley 对 Masa Son 的误解（16:00）成功的创始人从不会希望自己当初承担更少风险（17:00）在对 cybersecurity 一无所知的情况下加入 Palo Alto（20:00）ChatGPT 发布时，老牌 incumbents（既有企业）犯了什么错（23:00）安全性从未被内建到 AI 中（28:00）没有哪家企业真正知道自己的技术栈内部在运行什么（31:00）AI 发现糟糕代码的速度比人类快得多（35:00）解决这种混乱的唯一方法，是更多 AI（38:00）AI 不只会自动化工作——它还会抬高最低水平（41:00）foundation models（基础模型）vs. specialized stacks（专用技术栈）（45:00）为什么在规模化之后，沟通占工作内容的 30%