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Practical AI · June 11, 2026 · 47m

Zero Trust for AI Agents

Chris Benson and Daniel Whitenack unpack Anthropic's newly released 'Zero Trust for AI Agents' security framework. They discuss the emerging security risks when AI agents operate autonomously and how zero trust principles can be applied to agentic systems, along with practical controls and the necessary evolution of traditional cybersecurity thinking.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Novel

Anthropic’s Zero Trust for AI Agents Framework
The hosts discuss Anthropic's new security framework that adapts zero trust principles for AI agents.

Highlights

Risks of Agentic AI and the Need for New Security Models
Daniel and Chris explore the security risks that are unique to autonomous AI agents.
Evolving Cybersecurity for the Age of AI Agents
The conversation addresses how traditional cybersecurity principles must evolve to handle agentic AI.
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