Agent Armor, a Rust runtime for enforcing policies on AI agent actions
Zero-trust governance for AI agents before they execute shell, file, or database actions with full audit trails.
An enterprise agent governance runtime.
Type-system-enforced governance loop prevents agents from bypassing policy without code changes.
Enterprise organizations deploying custom LLM agents requiring compliance-grade governance and audit trails.
LangChain · LlamaIndex · Anthropic's Workbench
No code path exists that executes a tool without passing through governance. Fail-closed by default, signed session evidence (ECDSA P-256), and agents that earn autonomy through demonstrated behavior.
Apache 2.0.
Zero-trust governance for AI agents before they execute shell, file, or database actions with full audit trails.
Intercepts tool calls before execution to block dangerous actions like DB deletes.
Eight-layer governance pipeline for agents when LangChain just executes blindly.
Proves text safety ≠ tool-call safety; catches hidden harmful executions deterministically.
Approval gates and replayable artifacts solve real local agent debugging pain points.
Fail-closed policy layer blocks LLM tool calls before execution, no LLM in decision path.