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 - **[NeMo Guardrails](https://github.com/NVIDIA/NeMo-Guardrails)** - NVIDIA’s toolkit for adding programmable rails to LLM-based apps. It ensures agents stay on topic, avoid jailbreaks, and adhere to defined safety policies.
 - **[Guardrails](https://github.com/guardrails-ai/guardrails)** - A Python framework for validating LLM outputs against structural and semantic rules (e.g., "must return valid JSON," "must not contain PII").
 - **[LiteLLM Guardrails](https://github.com/BerriAI/litellm)** - While known for model proxying, LiteLLM includes built-in guardrail features to filter requests and responses across multiple LLM providers.
+- **[AI Agent Security Mini-Audit](https://github.com/MAUROCERON/ai-agent-security-mini-audit)** - A no-login self-check and launch-readiness checklist for reviewing agent workflows before production, covering prompt injection, tool permissions, secrets exposure, logging, and approval gates.
 
 ## 📊 Benchmarks & Datasets
 *Resources to evaluate agent security performance.*