From Trust to Verification: Securing AI Agents Through Deterministic Runtime Constraints

As AI agents gain control over critical systems—payments, databases, and infrastructure—the industry faces a fundamental security crisis. Traditional agent frameworks treat probabilistic model outputs as executable commands, creating unbounded risk. nano-vm introduces a deterministic FSM runtime that treats all model outputs as untrusted intent and constrains side-effects through verifiable execution semantics. This architectural shift is essential for safe enterprise deployment of autonomous systems.