Agent and Plugin Permission Governance
What This Requires
Apply the principle of least privilege to all AI agents, plugins, and tool integrations, restricting autonomous access to only the data, systems, and actions required for the defined use case. Permission grants must be explicitly scoped, time-limited where appropriate, and subject to regular review and recertification.
Why It Matters
AI agents with excessive permissions represent a force multiplier for security incidents. A compromised or misbehaving agent with broad system access can read sensitive databases, modify records, send communications, or execute transactions at machine speed without human oversight. The OWASP Agentic AI Top 10 identifies excessive agency as the primary risk in autonomous AI deployments, as it transforms any model vulnerability into a system-wide compromise.
How To Implement
Permission Inventory and Scoping
Maintain a formal inventory of all AI agents and plugins with their granted permissions, data access rights, and system integrations. For each agent, document the minimum permissions required to fulfill its stated purpose. Remove any permissions that exceed the documented minimum.
Approval and Provisioning Workflow
Require security review and explicit approval before granting AI agents access to new systems, data sources, or action capabilities. Implement a tiered approval model: read-only access requires team lead approval; write access requires security team review; destructive or financial actions require executive sign-off.
Runtime Permission Enforcement
Enforce permissions at the infrastructure level using API scopes, IAM roles, network segmentation, and tool-calling allow-lists. Do not rely solely on prompt-level instructions to restrict agent behavior. Implement permission boundaries that cannot be bypassed through prompt manipulation.
Periodic Access Review
Conduct quarterly access reviews of all AI agent permissions. Revoke permissions for deprecated agents, reduce over-provisioned access, and re-certify active permissions with the responsible team lead. Track permission changes in an audit log.
Evidence & Audit
- AI agent and plugin permission inventory with documented justifications
- Approval workflow records for permission grants (tickets, sign-offs)
- IAM role and API scope configuration for AI agents
- Tool-calling allow-list configurations
- Quarterly access review records with recertification decisions
- Permission change audit logs
- Security review reports for new agent integrations