AI systems can correlate seemingly harmless data points to expose sensitive information through the mosaic effect, rendering traditional access control models like RBAC and ABAC inadequate. These legacy systems treat data sensitivity as static, but AI makes it contextual and relational. Relationship-based access control (REBAC) offers a solution by modeling connections between users, resources, and actions, automatically adapting permissions as relationships change. This graph-based approach scales better in regulated industries and aligns with zero-trust principles, enabling governance that evolves with how AI derives meaning from data.
Table of contents
How the Mosaic Effect Plays Out in AI SystemsWhy Traditional Access Control FailsFrom Roles to Relationships: Rethinking AuthorizationGovernance for the Age of CorrelationSort: