Category: Best Practices

OAuth 2.0 and OIDC solve fundamentally different problems.
PAM is an intensifying interest for DevOps teams trying to bring the right set of access controls to bear on their infrastructure.
Learn how 3-legged OAuth works by building a GitHub OAuth flow and tracing authorization, consent, codes, tokens, and state.
AI agents need identity controls, scoped access, and runtime enforcement before they are trusted with production systems.
The MCP authorization spec sets a new standard for securing non-human AI agents – with lessons for anyone building autonomous, scalable systems.
As AI agents begin calling tools and APIs, OAuth moves from background plumbing to a core access-control question.
AI agents need more than working credentials. They need verifiable identity, task-scoped access, and clear attribution.
As AI moves from chat windows to enterprise systems, data leakage becomes an identity and access problem.
Workforce and customer agents may rely on similar identity infrastructure, but the trust models, access patterns, and security risks behind them differ significantly.
AI agents exchange sensitive contexts across MCP servers in seconds. Without context-aware auditing, you can’t trace who accessed what.