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Add AI Agent Risk Self-Check #50

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Expand Up @@ -59,6 +59,7 @@ This list is organized by the **security lifecycle** of an autonomous agent, cov
- **[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 Risk Self-Check](https://github.com/MAUROCERON/ai-agent-security-mini-audit)** - A client-side checklist for reviewing prompt injection boundaries, tool permissions, browser/file access, approval gates, logging, and credential handling before launching an AI agent workflow.
## 📊 Benchmarks & Datasets
*Resources to evaluate agent security performance.*

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