Secure Agentic Access: Authentication and Authorization for AI Agent Workloads

This blog post outlines risks and recommended authentication/authorization patterns for AI agent workloads, arguing against hardcoded API keys and shared service accounts and advocating per-agent cryptographically verifiable identities, runtime attestation, task-scoped short-lived credentials, blended identity (preserving user context), and policy-based authorization; it references standards work (WIMSE, OAuth 2.1, OIDC) and practical controls for logging and MCP tool access.