Adopting AI quickly is critical to future success
While most organizations are experimenting with AI, only about a quarter of them have moved 40% or more of these AI experiments into production.1
Transitioning from proof-of-concept to production is arguably the most crucial step in harnessing the value of AI—yet this is the stage that presents many new challenges. While enterprises are rapidly experimenting with AI, many struggle to scale these experiments into practical solutions that yield tangible business benefits. Getting hands-on with a reference design focused on a use case can short-cut many of these challenges.
Security is another hurdle to confidently scaling AI. While 96% of organizations are deploying AI models, the majority worry about model security. Especially when those models are using APIs—over half of organizations say API sprawl is a significant pain point.2
Organizations need better ways to explore and experiment with AI use cases, ensure full AI lifecycle security, and move proven use cases into production. F5 and Red Hat help you scale AI.
Accelerate your Red Hat AI adoption without sacrificing security
Together, F5 and Red Hat have made it easy to start experimenting with, securing, and deploying AI in your organization with AI quickstarts.
AI quickstarts are simple, focused use cases designed for fast and easy deployment on Red Hat AI platforms. Each AI quickstart is designed on real-world use cases to help you scale AI on enterprise-ready, open-source infrastructure.
The true value of AI lies in its ability to solve evolving business problems, not just in its technical potential. By moving beyond a blank slate and into a ready-to-run use cases like API security for AI model serving, your team can stop experimenting and start delivering tangible results on the trusted, open foundation of Red Hat AI with the security and speed to meet your business needs.The first of many AI quickstarts
F5 has a roadmap in place to build a library of reference designs for future AI quickstarts. This first AI quickstart for Red Hat AI helps businesses quickly improve their AI security stance by protecting APIs used in AI applications and model serving.
AI quickstart: Protect AI-enabled apps and APIs
The APIs that connect AI models, apps, and other services are often targeted by attackers due to security gaps. With thousands of API endpoints distributed across hundreds of load balancers, many organizations struggle to identify unknown “shadow” APIs in their environments that pose a risk to apps and AI models.
F5 Distributed Cloud Web App and API Protection (WAAP) can identify unmanaged APIs in your OpenShift or other environments to keep them safe against attacks. It also defends both apps and APIs against malicious bots and DDoS attacks.
Generative AI is making API protection even easier with API Security Assistant in F5 Distributed Cloud Services. Through simple questions and intuitive dashboards, you can know your API security posture and act on top risks in just minutes.
The first of many AI quickstarts
This first AI quickstart for Red Hat helps businesses quickly improve their security posture by protecting APIs used in AI applications and model serving.
AI quickstart: Protect AI-enabled apps and APIs
Security gaps in APIs that connect AI models, apps, and other services are often the key targets for attackers. With thousands of API endpoints distributed across hundreds of load balancers, many organizations struggle to identify unknown “shadow” APIs in their environments that pose a risk to apps and AI models.
F5 Distributed Cloud Web App and API Protection (WAAP) can identify unmanaged APIs in your OpenShift or other environments to protect against smarter and faster AI attacks. It also defends both apps and APIs against malicious bots and DDoS attacks.
Generative AI is making API protection even easier with API Security Assistant in F5 Distributed Cloud Services. Through simple questions and intuitive dashboards, you get better visibility into your API security posture, expediting risk mitigation.
The API use case is only the first of many AI quickstarts being developed by F5 to help scale AI securely. These combined F5 and Red Hat AI quickstarts speed adoption by overcoming proof-of-concept to production hurdles and delays.
Explore the AI quickstart catalog.
Learn more about F5 and Red Hat’s partnership at f5.com/redhat
Sources:
- Deloitte, The State of AI in the Enterprise: The untapped edge, Jan 2026
- F5, State of Application Strategy Report 2025, Apr 2025
Key benefits
Accelerate your AI security
Protect AI easily with pre-configured use cases spanning areas such as API discovery, schema validation, bot mitigation, sensitive data redaction, and real-time threat detection.
Streamline AI operations without complications
Get centralized, real-time dashboards for monitoring, analytics, and policy adjustments, enabling teams to identify and resolve AI issues faster and ensure AI operations with simple download packages and minimal configuration.
Optimize AI traffic and resource management from the get-go
Accelerate AI performance improvements with intelligent traffic management, balancing workloads across hybrid environments to minimize latency, maximize resource efficiency, and maintain service reliability, all in tested use cases.
Deploy AI at the speed of your business
Speed up time-to-market with pre-configured use cases built on a unified platform that integrates data science workflows, application development, and IT operations, fostering collaborative innovation without compromising governance or security.