AI Agents and the Risks of Over-Permissioned Access TL;DR: AI agents that are granted excessive permissions to systems or data inadvertently create security risks. This capability becomes a vulnerability when tools are designed with 'reach' in mind rather than 'need'. Key Frameworks for Risk Management Managing AI agent risks requires balancing three dimensions: Principle of Least Privilege (PoLP) Restrict AI agent permissions to the absolute minimum required for its function. Avoid defaulting to convenience in setting permissions. Explainability vs. Reach Assess whether access is justified by clear reasoning. If an agent can modify a database without a defensible rationale, its permissions may be excessive. Ceremony Audit Regularly review unquestioned workflows to identify opportunities for safer, more efficient adjustments. Real-World Examples Case Study: Leak via Over-Permissioned Agent In one company, an AI agent tasked with code analysis was automatically granted full repository access.…