Category: Best Practices

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.
NHIM, MIM, and workload IAM each address a different layer of non-human identity security. Learn how they compare and complement each other.
Secrets managers store credentials but can’t close the access gaps that multicloud workloads and AI agents create. Five alternatives can.
MCP standardizes how AI agents connect to tools, but every agent needs delegated authority and precise permission controls to match.
Hardcoded credentials and shared tokens give attackers ongoing access. Dynamic authorization replaces them with real-time decisions.
Two layers protect cloud-native apps: Workload IAM secures machine identity and API security inspects request traffic. Most teams need both.
Test your MCP systems for confused deputy attacks, token passthrough risks and the authorization patterns the specification requires.
Modern infrastructure depends on keys: encryption and access. They’re not the same, and treating them the same quietly introduces risk.
Every workload that calls an API has to prove it belongs. How that proof gets exchanged shapes the blast radius of any credential leak.