At F5, our continued investment in artificial intelligence is already delivering real value for both our customers and our employees. A major focus of our AI initiative is reducing customer toil—the repetitive, manual work that creates friction and slows productivity—helping security teams keep up with the increasing threats and application complexity without having to add more staff.
Common examples of such toil include tuning policies at scale, reviewing log data, responding to alerts that could be resolved automatically, or repeatedly writing standard code snippets and configuration files.
To systematically address toil—and simultaneously elevate our security posture—we’ve concentrated our AI investments in four core product areas:
The F5 AI Assistant helps DevOps, NetOps, and SecOps teams streamline workflows, navigate configurations more efficiently, and obtain contextual recommendations and guided remediation. It’s a powerful tool to reduce complexity in hybrid and multicloud environments—and, of course, to cut down on toil.
We're also using AI across our engineering teams through the F5 AI Data Fabric—a system we introduced in early 2024 to harness the power of generative AI. It helps automate tasks like labeling training datasets and enables engineers, data scientists, and even non-technical experts to build, train, and deploy machine learning models securely.
A key innovation is our use of synthetic data—artificially generated data that mirrors the statistical properties of real-world datasets. This allows us to safely create large volumes of high-quality training data, accelerating machine learning development without exposing actual customer data. (For more information on synthetic data, see this recent post.)
We've also modularized and automated these capabilities through a published SDK, making functions like model training, deployment, and data processing easy to access and integrate. By abstracting away the complexity, the AI Data Fabric democratizes AI at F5—enabling product teams to leverage machine learning without deep expertise in data science.
F5 AI Gateway protects, accelerates, and observes AI-powered applications—representing a natural evolution of our application delivery and security capabilities.
Designed for today’s hybrid multicloud environments, it can be deployed as a standalone solution or integrated with existing F5 software, hardware, or services.
At its core, AI Gateway is a policy orchestration engine: a mix of model- and pattern-based processors that inspect prompts between users and large language models (LLMs) to detect threats like prompt injection and other emerging AI-specific attacks. As with any AI-focused or security solution today, it must evolve to meet ever-changing needs and threats.
In building new capabilities, our developers are leveraging the F5 AI Data Fabric to simplify the training and deployment of machine learning models. This is a strong example of how a common AI infrastructure accelerates innovation across product teams, allowing them to focus on delivering targeted, AI-driven functionality.
The F5 AI Center of Excellence, instituted at F5 in February 2025, is a centralized team of AI engineers, researchers, and architects focused on scaling AI across the company—and I’m proud to lead it. We define best practices, build shared infrastructure, and partner with product teams to align and accelerate AI initiatives.
Using our F5 AI Data Fabric, we streamline the full AI lifecycle—from data collection to deployment of containerized models and AI apps—enabling faster integration of AI into F5 products.
Our Center of Excellence not only provides hands-on expertise but also empowers teams to become self-sufficient with shared tools, reusable code, and guidance throughout their AI journey. Talent development is a key priority as well, helping to upskill teams across F5 in a competitive AI talent market.
Interested in learning more? We hope you’ll check out all of this week’s F5 AI news on our Accelerate AI webpage.