Category: Best Practices

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.
Not all credentials are created equal. Compare API keys and JWTs across security, scalability, and fit for modern workload authentication.
MCP gives AI agents a common language for action—but also a new attack surface. Here’s how to model threats before they become incidents.
Zero trust has matured for human users, but most workloads are still running on static secrets. This primer covers the principles to fix that.