Enterprise AI agents often start with narrow tasks but gradually accumulate additional permissions, data access, and responsibilities over time without formal re-evaluation. Unlike human employees who undergo structured onboarding, role changes, and offboarding, AI agent identities rarely return permissions once assigned. Successful execution can lead human reviewers to treat supervisory sign-offs as empty formalities, eventually removing human oversight entirely from the workflow. Experts recommend establishing external control boundaries, dynamic runtime authorization, and clear ownership lifecycles to prevent unintended privilege escalation. CIOs are urged to treat each expansion in an agent’s capability as a critical authorization boundary rather than a routine feature update.

Full report : As enterprises scale automated workflows, the gradual accumulation of permissions and tools risks granting AI unchecked decision-making power.