AI agent governance, authorization, MCP security, and compliance.
AI agents can now call real APIs. The hard part is no longer capability — it's control. Why agent authorization is different from traditional IAM, and what a real control plane looks like.
When your AI agent can post to Slack or send Gmail, an access token isn't a permission model. How to constrain it at the right layer: least-privilege discovery, argument-level allowlists (Slack channel, Gmail recipient domain), and approval gates.
Least privilege is the oldest security principle and the one AI agents break by default. What it means for agents and how to enforce it at runtime: scoped tools, non-escalation, JIT grants, fail-closed.
Machine identities outnumber human ones, and AI agents are the fastest-growing class. What non-human identity (NHI) means, why agents are a harder problem, and how to govern agent identity and authorization.
MCP made it trivial for AI agents to call your tools. Learn how to secure MCP servers with per-call authorization, least-privilege tool discovery, human approval, and a tamper-evident audit log via a policy gateway.
LangChain makes tool-calling effortless, but adding permissions is on you. A practical guide to gating LangChain agent tools with allow/deny/require_approval checks, with code, plus LangGraph, AutoGen, and CrewAI.
EU AI Act high-risk obligations apply from August 2, 2026. A practical guide to Article 12 logging for autonomous AI agents: what it requires, why ordinary logs fall short, and how append-only hash-chained audit logs satisfy it.
AI agent governance, MCP security, and compliance — no spam.