F5 AI Roadmap
We are currently using F5 AFM for DDoS mitigation and plan to enhance our protection by adding WAF in production soon. Could you share insights on F5’s AI roadmap in the context of DDoS protection? Additionally, what AI-driven features or capabilities can we enable to strengthen our defenses? any ppt or pdf for RoadmapF5 AI Gateway to Strengthen LLM Security and Performance in Red Hat OpenShift AI
In my previous article, we explored how F5 Distributed Cloud (XC) API Security enhances the perimeter of AI model serving in Red Hat OpenShift AI on ROSA by protecting against threats such as DDoS attacks, schema misuse, and malicious bots. As organizations move from piloting to scaling GenAI applications, a new layer of complexity arises. Unlike traditional APIs, LLMs process free-form, unstructured inputs and return non-deterministic responses—introducing entirely new attack surfaces. Conventional web or API firewalls fall short in detecting prompt injection, data leakage, or misuse embedded within model interactions. Enter F5 AI Gateway—a solution designed to provide real-time, LLM-specific security and optimization within the OpenShift AI environment. Understanding the AI Gateway Recent industry leaders have said that an AI Gateway layer is coming into use. This layer is between clients and LLM endpoints. It will handle dynamic prompt/response patterns, policy enforcement, and auditability. Inspired by these patterns, F5 AI Gateway brings enterprise-grade capabilities such as: Inspecting and Filtering Traffic: Analyzes both client requests and LLM responses to detect and mitigate threats such as prompt injection and sensitive data exposure. Implementing Traffic Steering Policies: Directs requests to appropriate LLM backends based on content, optimizing performance and resource utilization. Providing Comprehensive Logging: Maintains detailed records of all interactions for audit and compliance purposes. Generating Observability Data: Utilizes OpenTelemetry to offer insights into system performance and security events. These capabilities ensure that AI applications are not only secure but also performant and compliant with organizational policies. Integrated Architecture for Enhanced Security The combined deployment of F5 Distributed Cloud API Security and F5 AI Gateway within Red Hat OpenShift AI creates a layered defense strategy: F5 Distributed Cloud API Security: Acts as the first line of defense, safeguarding exposed model APIs from external threats. F5 AI Gateway: Operates within the OpenShift AI cluster, providing real-time inspection and policy enforcement tailored to LLM traffic. This layered design ensures multi-dimensional defense, aligning with enterprise needs for zero-trust, data governance, and operational resilience. Key Benefits of F5 AI Gateway Enhanced Security: Mitigates risks outlined in the OWASP Top 10 for LLM Applications - such as prompt injection (LLM01) - by detecting malicious prompts, enforcing system prompt guardrails, and identifying repetition-based exploits, delivering contextual, Layer 8 protection. Performance Optimization: Boosts efficiency through intelligent, context-aware routing and endpoint abstraction, simplifying integration across multiple LLMs. Scalability and Flexibility: Supports deployment across various environments, including public cloud, private cloud, and on-premises data centers. Comprehensive Observability: Provides detailed metrics and logs through OpenTelemetry, facilitating monitoring and compliance. Conclusion The rise of LLM applications requires a new architectural mindset. F5 AI Gateway complements existing security layers by focusing on content-level inspection, traffic governance, and compliance-grade visibility. It is specifically tailored for AI inference traffic. When used with Red Hat OpenShift AI, this solution provides not just security, but also trust and control. This helps organizations grow GenAI workloads in a responsible way. For a practical demonstration of this integration, please refer to the embedded demo video below. If you’re planning to attend this year’s Red Hat Summit, please attend an F5 session and visit us in Booth #648. Related Articles: Securing model serving in Red Hat OpenShift AI (on ROSA) with F5 Distributed Cloud API Security
F5 AI Gateway - Secure, Deliver and Optimize GenAI Apps
AI has revolutionized industries by automating tasks, enabling data-driven decisions, and enhancing efficiency and innovation. While it offers businesses a competitive edge by streamlining operations and improving customer experiences, it also introduces risks such as security vulnerabilities, data breaches, and cost challenges. Businesses must adopt robust cybersecurity measures and carefully manage AI investments to balance benefits with risks. F5 provides comprehensive controls to protect AI and IT infrastructures, ensuring sustainable growth in an AI-driven world. Welcome to F5 AI Gateway - a runtime security and traffic governance solutionEnhance your GenAI chatbot with the power of Agentic RAG and F5 platform
Agentic RAG (Retrieval-Augmented Generation) enhances the capabilities of a GenAI chatbot by integrating dynamic knowledge retrieval into its conversational abilities, making it more context-aware and accurate. In this demo, I will demonstrate an autonomous decision-making GenAI chatbot utilizing Agentic RAG. I will explore what Agentic RAG is and why it's crucial in today's AI landscape. I will also discuss how organizations can leverage GPUaaS (GPU as a Service) or AI Factory providers to accelerate their AI strategy. F5 platform provides robust security features that protect sensitive data while ensuring high availability and performance. They optimize the chatbot by streamlining traffic management and reducing latency, ensuring smooth interactions even during high demand. This integration ensures the GenAI chatbot is not only smart but also reliable and secure for enterprise use.Mitigate OWASP LLM Security Risk: Sensitive Information Disclosure Using F5 NGINX App Protect
This short WAF security article covered the critical security gaps present in current generative AI applications, emphasizing the urgent need for robust protection measures in LLM design deployments. Finally we also demonstrated how F5 Nginx App Protect v5 offers an effective solution to mitigate the OWASP LLM Top 10 risks.Secure, Deliver and Optimize Your Modern Generative AI Apps with F5
In this demo, Foo-Bang Chan explores how F5's solutions can help you implement, secure, and optimize your chatbots and other AI applications. This will ensure they perform at their best while protecting sensitive data. One of the AI frameworks showed is Enterprise Retrieval-Augmented Generation (RAG). This demo leverages F5 Distributed Cloud (XC) AppStack, Distributed Cloud WAAP, NGINX Plus as API Gateway, API-Discovery, API-Protection, LangChain, Vector databases, and Flowise AI.
