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Add regulated-ai-governance and enterprise-rag-patterns to Security section #376

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Add regulated-ai-governance and enterprise-rag-patterns to Security section #376

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -152,6 +152,8 @@ An awesome & curated list of the best LLMOps tools for developers.
| Project | Details | Repository |
| ------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- |
| [Plexiglass](https://github.com/kortex-labs/plexiglass) | A Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms. | ![GitHub Badge](https://img.shields.io/github/stars/kortex-labs/plexiglass?style=flat-square) |
| [regulated-ai-governance](https://github.com/ashutoshrana/regulated-ai-governance) | Policy enforcement, PII detection, consent management, and data lineage for AI agents under FERPA, HIPAA, GDPR, CCPA, GLBA, and SOC 2. Integrates with LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, and Haystack via `GovernedActionGuard`. | ![GitHub Badge](https://img.shields.io/github/stars/ashutoshrana/regulated-ai-governance?style=flat-square) |
| [enterprise-rag-patterns](https://github.com/ashutoshrana/enterprise-rag-patterns) | FERPA/HIPAA/GDPR-compliant RAG retrieval patterns with identity-scoped vector-store filtering, audit logging, and GDPR erasure handling for regulated enterprise environments. | ![GitHub Badge](https://img.shields.io/github/stars/ashutoshrana/enterprise-rag-patterns?style=flat-square) |

**[⬆ back to ToC](#table-of-contents)**

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