AI Guardrails

Runtime security for AI agents

Every message into an AI agent and every reply out of it gets one verdict and the name of the rule that decided. Thirteen checks run in a fixed order against a JSON policy: Unicode canonicalisation, container-breakout patterns, prompt injection, blocklists, length limits, harmful content, PII and credentials, data exfiltration, and system-prompt leakage. An optional NVIDIA Nemotron model on Nebius reviews only what the rules allowed and can escalate to a block but never release one, so a broken or manipulated model degrades to rules-only instead of no security. A default-deny gateway adds per-user TOTP two-factor, scoped API keys, CSRF checks, rate limiting and a hash-chained audit log. Zero runtime dependencies; built with Isabella Wu and Annie Liao.

Category
Built with
DockerNVIDIA Nemotron
GitHub

Started Last updated

October 2026