Agentic RAG - Securing GenAI with F5 Distributed Cloud Services

In my previous article—Enhance your GenAI chatbot with the power of Agentic RAG and F5 platform, I discussed enhancing your Generative AI (GenAI) chatbot using the power of Agentic Retrieval-Augmented Generation (RAG) and F5 platform. That article provided a high-level overview of how Agent-Based RAG (or Agentic RAG) operates and detailed the pipeline that powers it. In this follow-up article, I will demonstrate how to secure an Agentic RAG, building on the foundational concepts introduced earlier.

Securing Agentic AI—or GenAI in general—requires implementing multiple layers of security controls. It is important to note that GenAI applications are a modern application, leveraging contemporary application frameworks and methodologies (in contrast to traditional monolithic applications). These applications are typically distributed, often running on containerized platforms such as Kubernetes. Due to their distributed, microservices-based architecture, GenAI applications rely heavily on APIs, which form the backbone of GenAI services.

To ensure comprehensive security, traditional controls such as Web Application and API Protection (WAAP), bot management, advanced API security measures, and adherence to security best practices remain essential. However, to address the unique challenges of GenAI applications, purpose-built solutions like AI Gateways, which focus on AI runtime security and traffic governance, are crucial

In this article, we will explore six key security controls designed to secure AI services. Securing AI services with AI Gateway has been shown in this article - F5 AI Gateway - Secure, Deliver and Optimize GenAI Apps