F5 has introduced F5 AI Guardrails integrated with NVIDIA NeMo Guardrails, an AI-native solution that brings F5’s enterprise-grade AI security capabilities to production AI applications. The integration targets a problem F5 says is now the primary reason enterprises struggle to move AI from pilot to production: fragmented security controls and inconsistent governance across the multiple AI models and frameworks organisations increasingly run.
Most AI frameworks include basic safety checks, but those controls typically sit inside individual applications rather than being enforced centrally, leaving security and compliance teams to stitch together visibility across tools with no single place to inspect AI traffic, apply policy or audit activity.
“Enterprises do not have a shortage of AI applications. They have a shortage of consistent security and governance across them,” said Kunal Anand, Chief Product Officer at F5. “As AI moves into production, fragmented controls create risk, complexity, and delay. This integration gives security teams a unified point to inspect AI traffic, enforce policy, and govern AI applications across their environments, while giving developers the freedom to keep building.”
Centralised inspection without touching application code
F5 AI Guardrails inspects prompts and responses between users and applications, helping prevent prompt injection, PII exposure, data leakage and malicious outputs. Because security policies are applied centrally rather than built into each AI application, organisations can enforce enterprise requirements without modifying application code. Key capabilities include real-time prompt and response inspection, centralised policy enforcement from a single console, consistent visibility across models and business units, and an independent, layered architecture that lets the security layer and the NVIDIA framework each evolve on their own.
“NVIDIA NeMo Guardrails provides an open, programmable framework for applying safety and security policies to AI applications,” said Ash Bhalgat, Senior Director of AI Networking and Security Solutions, Ecosystem and Marketing at NVIDIA. “The integration with F5 AI Guardrails expands the range of protections customers can use to secure LLM prompts and responses as they move AI agents into production.”
Ecosystem partners weigh in
Equinix, Red Hat and WWT each offered supporting commentary tied to their own AI infrastructure partnerships with NVIDIA. Maryam Zand, VP of Ecosystem Development at Equinix, said the integration extends consistent security and policy enforcement across the distributed, multi-cloud environments where enterprise AI increasingly runs. Ryan King, Vice President of AI and Infrastructure Partners at Red Hat, said the runtime protections strengthen the Red Hat AI Factory’s ability to help customers deploy and scale AI workloads with confidence. Chris Konrad, Global VP of AI and Cyber at WWT, said the integration adds policy-driven governance and runtime protection to the validation work customers already do through WWT’s AI Proving Ground.
F5 AI Guardrails integrated with NVIDIA NeMo Guardrails works regardless of the underlying large language model, allowing organisations to change models or add new AI applications while maintaining consistent inspection and policy enforcement. It is generally available now.
