AI Agent Authorization by Use Case
Veto routes regulated buyers to the authorization pattern behind their Monday-morning incident review: finance agents moving money, healthcare agents touching PHI, insurance agents altering claims, European deployers proving oversight, and enterprise teams defending audit boundaries. Every tool call is checked before execution.
Why use-case-specific policies matter
Generic allow/deny lists break down when agents operate across domains. A healthcare agent needs HIPAA-aware redaction, not just a blocklist. A financial agent needs transaction-level approval workflows, not just rate limits. Veto policies are composable primitives that map directly to your industry's regulatory and operational requirements.
Regulated industries
Stripe refunds, Modern Treasury ACH/wires, Plaid data access, invoice approval, treasury ops, and trading or rebalancing actions need authorization before money moves.
Epic, Cerner, FHIR, and EHR-style workflows need PHI boundaries, minimum-necessary access, and clinical human review before healthcare agents act.
Guidewire, Duck Creek, and Salesforce insurance workflows need claims payout thresholds, underwriting authorization, SIU escalation, and medical-record access controls.
European companies deploying high-risk or agentic AI need operational evidence for Article 14 human oversight, Article 12 logs, and deployer controls.
SSO is identity. Enterprise AI governance needs tenant isolation, agentic AI risk controls, SOC 2/GDPR audit trails, and action authorization.
Agent types
Enforce attorney-client privilege boundaries, restrict document access by matter, and prevent agents from sharing confidential case information.
Enforce swap limits, restrict bridge protocols, cap liquidity positions, and require approval for high-value on-chain actions before they become irreversible.
Whitelist URLs, block credential form submissions, and prevent agents from navigating to unauthorized domains during web automation.
Filter shell commands before execution, restrict infrastructure changes to approved patterns, and block production-destructive operations.
Validate SQL queries before they run, redact PII from query results, and enforce row-level access controls across data pipelines.
Limit what support agents can read and write, require escalation for refunds above thresholds, and prevent unauthorized account modifications.
Cap discount authorization, restrict CRM field writes, and require manager approval before agents commit to pricing outside approved ranges.
Limit source access, enforce citation requirements, and prevent agents from extracting or storing data beyond permitted research scope.
Related resources
Your agents are already deployed. Are they authorized?