Identity in the Agentic Era
AI agents are non-human identities, and most teams are repeating every IAM anti-pattern from the cloud-native era — faster, with actors that are autonomous and manipulable. A 6-episode series applying a decade of IAM and Zero Trust practice to agentic AI architecture.
Who it’s for: Security and platform engineers who already understand cloud IAM (roles, workload identity, least privilege) and want to see exactly where those patterns break — or need reinforcing — once the caller is an LLM agent instead of a human or a service account.
Format: Each episode connects a specific IAM/access-control failure mode to its agentic-AI equivalent — RAG access control, OIDC workload identity for LLM pipelines, IAM abuse via prompt injection, audit trails for agent actions, and zero trust mutual authentication for agent-to-agent calls.
Publishing This Week
| EP | Title | Publishes |
|---|---|---|
| EP01 | The Non-Human Identity Problem Is Back | 2026-07-09 |
| EP02 | RAG Access Control: The IAM Layer Your Vector Database Doesn’t Have | 2026-07-11 |
| EP03 | OIDC and Workload Identity for LLM Pipelines | 2026-07-13 |
Coming Up
| EP | Title |
|---|---|
| EP04 | When Prompt Injection Becomes IAM Abuse |
| EP05 | Auditing AI Agent Actions: What CloudTrail Tells You and What It Misses |
| EP06 | Zero Trust for AI Agents: Mutual Authentication in Agentic Architectures |
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