Google’s AI Agent Security Model Sets a Foundation, But Leaves Open Questions

Google’s new whitepaper on AI agent security outlines a high-level approach to identifying and mitigating risks in agentic systems. The post on Shostack.org reviews the document as a de facto threat model, despite Google not framing it explicitly as one. It identifies two central risks: rogue agent actions and sensitive data exposure. The paper presents helpful architecture diagrams and introduces core principles like human control, restricted powers, and transparency. However, concerns remain about the clarity of roles between platform and deployers, and ambiguity in terms like “alignment.” While Google offers a solid starting point, more specificity is needed for practical implementation. 

https://shostack.org/blog/google-approach-to-ai-agents-threat-model-thursday/

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