Why LLM Guardrails Keep Failing (And How We Built Sub-35µs In-Process Tool Gating for AI Agents)
Moving from slow 1,500ms prompt moderation classifiers and infinite agent retry loops to deterministic, in-process AST gating and zero-inconvenience pro bono security.
1. The Core Flaw in Modern AI Agent Safety
When autonomous agents (Claude Desktop, Cursor, LangChain, CrewAI, AutoGen) interact with real environments, they execute real shell commands, manipulate filesystems, invoke external APIs, and execute SQL queries.
However, existing safety tools treat AI guardrails as external chat filters:
