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Google's Beyond Zero represents a critical evolution in security architecture, shifting from traditional application-level boundaries to granular, resource-level controls capable of handling autonomous AI agents. By integrating dynamic, risk-based authorization with static policies, this framework addresses the latency and trust assumptions inherent in legacy Zero Trust models that no longer apply to machine-speed operations. The move necessitates new standards for action-level authorization across SaaS vendors, fundamentally altering how enterprises manage access for both human users and AI systems.

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Beyond Zero: Google Publishes Successor to BeyondCorp

InfoQSeptember 5, 20264 min read

In a recent research paper, Google introduced Beyond Zero, a “security model for the AI era” that extends Zero Trust to autonomous AI agents. The new approach moves access decisions from the application level to individual resources and actions, combining static authorization controls with dynamic AI-driven decisions to enable machine-speed enforcement for humans and agents. By Renato Losio

In a recent research paper, Google introduced Beyond Zero, a "security model for the AI era" that extends Zero Trust to autonomous AI agents. The new approach moves access decisions from the application level to individual resources and actions, combining static authorization controls with dynamic AI-driven decisions to enable machine-speed enforcement for humans and agents. Beyond Zero uses contextual and risk-based, resource-level controls to continuously authorize individual actions by both humans and AI agents.…

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