AI Agent Authorization & Permissions Management

Control what your AI agents can do, not just who they are. Enterprise-grade authorization with policy-as-code, approval workflows, and complete audit trails.

What is AI agent authorization?

AI agent authorization is the process of defining, evaluating, and enforcing what actions an AI agent is permitted to perform. Unlike authentication (which verifies identity), authorization controls access at the tool-call level—determining whether specific operations like file writes, API calls, or database queries are allowed based on policy.

Authentication is not authorization

Most AI systems verify who the agent is (authentication) but fail to control what it can do (authorization). An authenticated agent with write access to your database is a loaded gun. Authorization is the safety.

AspectAuthenticationAuthorization
Answers"Who is this agent?""What can it do?"
ScopeIdentity verificationAction-level permissions
MechanismAPI keys, tokens, certificatesPolicies, rules, approvals
Failure modeImpersonationUnauthorized actions

Authorization features

Policy-as-code

Declarative YAML policies version-controlled alongside your code. Review, audit, and rollback just like any other code change.

Approval workflows

Route sensitive actions to humans for review. Slack, email, or dashboard notifications with one-click approve/deny.

Environment scoping

Different policies for dev, staging, production. Test guardrails safely before deploying to production environments.

Audit trails

Every decision logged with tool, arguments, policy, outcome, and timestamp. Export for SOC2, GDPR, and compliance reporting.

Build vs buy comparison

CapabilityDIYVeto
Initial development4-8 weeks1 hour
Policy engine
Approval workflows
Audit logging
Framework integrations
Dashboard
Maintenance burdenOngoingNone
SOC2 complianceBuild yourselfOut of box
Full comparison: Veto vs DIY

Enterprise use cases

Multi-tenant isolation

Per-tenant policies ensure agents can only access authorized data. Complete isolation with shared infrastructure.

Role-based access control

Different authorization levels for different agent roles. Finance agents get payment permissions, support agents get read-only access.

Compliance automation

Automated audit trails for SOC2, HIPAA, GDPR. Export logs on demand. Policy versioning for audit evidence.

Enterprise agents deep dive

Compare with alternatives

Frequently asked questions

What is AI agent authorization?
AI agent authorization is the process of defining and enforcing what actions an AI agent is permitted to perform. It operates at the tool-call level, evaluating each action against policy before execution. This is distinct from authentication, which only verifies identity.
How does Veto handle multi-tenant authorization?
Veto supports per-tenant policies scoped by project or organization. Each agent's requests are evaluated against the policies for its specific tenant context. This enables complete isolation with shared infrastructure—agents from one tenant cannot access another tenant's resources.
Can I require human approval for certain actions?
Yes. Policies can route specific tool calls to human approval workflows. Approvers get notifications via Slack, email, or dashboard. The action is paused until approved or denied, with full audit trail of the decision.
How do I version control authorization policies?
Policies are declarative YAML files stored in your repository alongside your code. Use standard git workflows—branches, pull requests, code review. Rollback to any previous version. This makes audit evidence trivial to produce.
What audit capabilities does Veto provide?
Every authorization decision is logged with tool name, arguments, policy matched, outcome (allow/deny/approval), and timestamp. Logs are queryable via dashboard and exportable for compliance reporting. Retention policies configurable per plan.

Authorization that scales with your agents.