World Model · podcast knowledge graph

Aaron Levie, Steven Sinofsky & Martin Casado: How Do You Secure a World of AI Agents?

2026-09-26 · 56 min · episode 1210 · 14 entities

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    Link in episode "Aaron Levie, Steven Sinofsky & Martin Casado: How Do You Secure a World of AI Agents?": https://x.com/martin_casado
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  • → hosted by a16z company
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    Feed author/publisher: a16z

Entities found in this episode

concepts 9

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    evidence rules-v4
    Aaron Levie, Steven Sinofsky & Martin Casado: How Do You Secure a World of AI Agents?
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses Technology concept
    0.40
    evidence rules-v4
    Feed category: Technology
  • discusses Business concept
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    Feed category: Business
  • discusses Entrepreneurship concept
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    Feed category: Entrepreneurship

persons 4

  • mentioned Martin Casado person
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    Link in episode "Aaron Levie, Steven Sinofsky & Martin Casado: How Do You Secure a World of AI Agents?": https://x.com/martin_casado
  • references Martin Casado person
    0.77 · ×2
    evidence rules-v4
    Link in episode "Aaron Levie, Steven Sinofsky & Martin Casado: How Do You Secure a World of AI Agents?": https://x.com/martin_casado
  • mentioned Andreessen Horowitz person
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    evidence rules-v4
    Feed author/publisher: Andreessen Horowitz
  • hosted by Andreessen Horowitz person
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    evidence rules-v4
    Feed author/publisher: Andreessen Horowitz

companys 1

  • hosted by a16z company
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Episode description as stored
Erik Torenberg sits down with Box CEO Aaron Levie, and a16z’s Martin Casado, and Steven Sinofsky to debate how the AI industry should think about safety, security, and regulation as increasingly capable agents move into the real world. They argue that much of today’s conversation is happening before we have clearly defined the risks we’re trying to regulate. Drawing on earlier waves of computing, from computer viruses and the early internet to aviation and automobiles, they ask what AI can learn from industries that developed safety standards only after understanding how their technologies actually failed. The conversation then gets concrete: agents don’t get tired, can operate at enormous scale, and can probe systems in ways human employees never could. That could require rethinking permissions, authentication, operating systems, and the security stack itself. They also discuss why AI innovation may increasingly move beyond the frontier labs and into the software built around the models. Resources: Follow Aaron Levie on X: https://x.com/levie Follow Martin Casado on X: https://x.com/martin_casado Follow Steven Sinofsky on X: https://x.com/stevesi Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.