MCP Needs Authorization
MCP connects AI agents to tools and data sources but has no built-in authorization. Every tool call is a trust boundary crossing without access control.
Dispatch
How AI Agents Are Breaking Traditional Authorization
Traditional authorization handles 1-2 checks per request. AI agent workflows need dozens — and at 5-50ms each, that's seconds of latency before any work happens. The agent era needs authorization infrastructure built for machine-speed decisions.
Securing RAG Pipelines: Per-User Document Authorization for AI
Your RAG pipeline has a security hole. When an LLM retrieves documents to answer a question, it pulls everything the vector search returns — including documents the requesting user shouldn't see. InferaDB enforces per-user authorization before retrieval, not after.