TLDR Tech / Data
Policy Engines Don't Work for AI Authorization. Here's Why
AI agent authorization increasingly demands relationship-based access control (ReBAC) instead of traditional policy engines, as access decisions depend on dynamic, real-time relationships between users, agents, and data. While policy engines like AWS Cedar excel in static, stateless scenarios, they struggle to scale with shifting context and complex relationship graphs, resulting in unwieldy schemas and gaps in access control. Systems such as SpiceDB and Google Zanzibar natively represent and compute on relationships, allowing seamless, granular, and scalable permissions as entities and contexts change.
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