AI Agent Post-Mortems Blame the Model. The Credentials Did It.
Real AI agent incidents share one root cause teams keep missing: credential architecture. Here's what those post-mortems get wrong every time.
Practical security insights and product updates from the team building safer, simpler key management for modern APIs.
Real AI agent incidents share one root cause teams keep missing: credential architecture. Here's what those post-mortems get wrong every time.
When AI agents go wrong, everyone blames the model. They're wrong. A forensic look at real incidents shows the same credential architecture failure, every time.
MCPGuard secures MCP traffic. API Stronghold secures the credentials inside it. Here's the difference, when you need each, and why most teams need both.
When multiple AI agents share the same credentials, one compromised agent exposes everything. Here's how to give each agent its own isolated session with the exact keys it needs.
AI plugins inherit every credential in your .env file. Audit what your ChatGPT plugin can actually reach and scope credentials so a compromised plugin stays contained.
Environment variables work fine solo. They fail in production. The Phantom Token Pattern gives agents fake tokens that proxy to real credentials at runtime.
MCP skill marketplaces have the same supply chain problems as npm, except the blast radius is your AI agent's full context window. Here are 5 vulnerabilities with code fixes you can deploy today.
The OWASP MCP Top 10 lists token mismanagement as the #1 risk for AI agents. Here's how to manage API keys for MCP servers using scoped secrets, runtime injection, and zero-knowledge encryption.