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Governance Guide

AI API Authentication Guide (2026) - Security Implementation

AI API authentication: secure key storage (secrets manager), OAuth for enterprise, key rotation policies, scope-based access, and credential monitoring.

Direct answer

AI API authentication: secure key storage (secrets manager), OAuth for enterprise, key rotation policies, scope-based access, and credential monitoring.

Fast path

  1. Key storage: use secrets manager (AWS Secrets Manager, Vault), never hardcode keys.
  2. OAuth flows: implement OAuth for enterprise AI services, manage tokens securely.
  3. Key rotation: rotate keys every 90 days, immediate rotation on suspected leak.

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Implementation Steps

  1. Key storage: use secrets manager (AWS Secrets Manager, Vault), never hardcode keys.
  2. OAuth flows: implement OAuth for enterprise AI services, manage tokens securely.
  3. Key rotation: rotate keys every 90 days, immediate rotation on suspected leak.
  4. Scope-based access: limit key permissions to specific models/features, not full access.
  5. Monitoring: track key usage, detect anomalies, alert on suspicious patterns.

Frequently Asked Questions

How to secure AI API keys?

Secure AI API keys: store in secrets manager (AWS Secrets Manager, HashiCorp Vault), inject at runtime via environment variables, never hardcode in source, rotate regularly (90 days), limit scope to needed permissions.

What OAuth flows for AI APIs?

OAuth flows for AI APIs: client credentials (service-to-service), authorization code (user-facing apps with login), device code (CLI/tools). Enterprise AI services may support OAuth. Manage tokens with refresh logic, secure token storage.

Related Guides

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