Update README.md

Author: abodhankar

README.md

@@ -14,6 +14,7 @@ This repository is a starting point for developers looking to integrate with the
 
 * [What's New?](#whats-new)
   * [Data Flywheel](#data-flywheel)
+  * [Safer Agentic A](#safer-agentic-ai)
   * [Knowledge Graph RAG](#knowledge-graph-rag)
   * [Agentic Workflows with Llama 3.1](#agentic-workflows-with-llama-31)
   * [RAG with Local NIM Deployment and LangChain](#rag-with-local-nim-deployment-and-langchain)
@@ -42,6 +43,13 @@ This tutorial demonstrates an end-to-end Data Flywheel implementation that uses
 
 - [Tool Calling Fine-tuning, Inference, and Evaluation with NVIDIA NeMo Microservices and NIMs](./nemo/data-flywheel/tool-calling)
 
+### Safer Agentic AI
+
+The following tutorials illustrate how to audit your large language models with NeMo Auditor to identify vulnerabilities to unsafe prompts, and how to run inference with multiple rails in parallel to reduce latency and improve throughput. 
+
+- [Audit your LLMs](./nemo/NeMo-Auditor/Getting_Started_With_NeMo_Auditor.ipynb)
+- [Inference with Parallel Rails](./nemo/NeMo-Guardrails/Parallel_Rails_Tutorial.ipynb)
+
 ### Knowledge Graph RAG
 
 This example implements a GPU-accelerated pipeline for creating and querying knowledge graphs using RAG by leveraging NIM microservices and the RAPIDS ecosystem to process large-scale datasets efficiently.