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reopt Handbook
reopt Handbook
AI Security and Compliance Operations

Strategy and Governance

Risk GovernanceData ProtectionSecure Architecture

Security Controls

Prompt Injection DefenseAccess Control and SecretsAudit Readiness

Operations and Leadership

Incident ResponseBoard Reporting

Appendix

GlossaryVerificationUpdates
Handbook›AI Security and Compliance›Access Control and Secrets
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Access Control and Secrets

Separate human, service, connector, and agent permissions, then connect least privilege, secret rotation, approval gates, and audit evidence.

Key takeaways

  • Separate human, service, connector, and agent permissions, then connect least privilege, secret rotation, approval gates, and audit evidence.
  • Use this chapter as a first-pass operating checklist before changing systems, data, permissions, or customer-facing workflows.
  • Validate platform-specific details against current official docs or internal policy before rollout.

AI systems introduce a new permission actor: the agent. It may read, decide, and trigger tools on behalf of a user or workflow, so access control must be explicit.

Identity Types

IdentityControl need
Human userRole, tenant, consent, session
Service accountScoped API access and rotation
Agent runtimeTask-scoped permissions and audit
Tool connectorLeast privilege and data filtering
AdministratorBreak-glass policy and monitoring

Secret Rules

  • Store secrets in approved secret managers or platform environment variables.
  • Never put secrets in prompts, memories, documentation examples, or logs.
  • Rotate keys with no expiration or unclear owner.
  • Separate development, staging, and production credentials.
  • Monitor privileged token usage and failed access attempts.

Approval Gate

Any AI-initiated action that changes money, customer records, permissions, legal status, or production state should require explicit policy and human review.

Related docs

Security Governance

Enterprise Project Architecture · Manage secrets, access, dependencies, permissions, and approval rules in enterprise projects.

Security Governance

Vercel Enterprise AI Platform · Govern identity, secrets, provider policy, data handling, WAF, BotID, and approvals.

Secure Architecture

Design AI systems with policy boundaries, isolation, logging, and safe tool access.

Security, Signing, and Compliance

Expo Enterprise Production · App integrity, OTA code signing, credential management, and enterprise release controls.

Audit Readiness

Build evidence pipelines for AI controls before formal audits begin.

Prompt Injection Defense

Defend AI systems against malicious instructions in user input, retrieved content, and tool output.

Audit Readiness

Build evidence pipelines for AI controls before formal audits begin.

On this page

Identity TypesSecret RulesApproval Gate