Easily protect and govern Red Hat OpenShift AI with F5

Adopting AI at scale requires governance

When it comes to AI, governance is no longer a compliance exercise. It's become a critical process element that allows for accelerated, confident AI scaling. However, most organization believe that resolving key challenges like AI security and governance will take more than a year.¹ Only 30% of organizations feel they are highly prepared to address the risk and governance needed to confidently adopt AI.²

Adopt, deploy, and manage security and governance for Red Hat OpenShift AI with ease

F5 and Red Hat make it easy to deploy, manage, harden, and protect your OpenShift AI models, agents, and outputs with F5 AI Guardrails and F5 AI Red Team using Red Hat OpenShift Operators.

F5 AI Guardrails

Address data security, adversarial threats, and regulatory compliance with comprehensive runtime security for deployed AI models and agents. Translate vulnerabilities into dynamic protection and maintain agile risk coverage as new models are introduced or business needs shift. AI Guardrails enable you to:

• Combat adversarial attacks
  Safeguard AI systems from evolving threats like prompt injection and jailbreaks. Choose from preset guardrails or create bespoke policies for specific use cases.
• Secure AI data
  Detect and prevent data leakage, compliance failures, and policy violations at runtime.
• Govern responsible AI usage
  Ensure regulatory compliance, obstruct harmful outputs, and enforce restrictions on model and agent privileges.
• Simplify AI observability
  Achieve continuous visibility and traceability across all AI interactions.

F5 AI Red Team

The most proactive red teaming will always benefit from a human defender, but the pace of AI development elevates the need for increased firepower. AI Red Team gives organizations access to a continuously updated attack prompt database to test for vulnerabilities, helping to turn insights into protective defenses. With AI Red Team, you can:

• Uncover vulnerabilities
  Find AI weaknesses before attackers do with continuous, real-world adversarial testing, quantified with clear security scores to drive remediation.
• Validate resilience and performance
  Identify AI performance limits under real-world pressure to prevent downtime and keep models stable, secure, and scalable.
• Accelerate AI security readiness
  Automated red-teaming delivers faster results, frees security experts from repetitive tasks, and enables secure and compliant systems.

Acceleration from OpenShift Operators

Red Hat OpenShift Operators automate the creation, configuration, and management of instances of Kubernetes-native applications—from managing the parts that make up the platform all the way to applications that are provided as a managed service.

Red Hat and F5 make AI protection easier with access to a library of Operators that are verified to work with Red Hat OpenShift—all packaged for easy lifecycle management. AI Guardrails and AI Red Team are currently available on-premises Red Hat OpenShift environments.

Securely accelerate your AI adoption with F5 and Red Hat

Together, F5 and Red Hat can help you safely operate AI-powered apps in OpenShift with one-click deployment and full lifecycle management. With AI Guardrails and AI Red Team certified OpenShift Operators, it is easier than ever to get started using AI to transform your business.

Learn more about F5 and Red Hat’s partnership at f5.com/redhat

Sources:

1. Deloitte, The State of AI in the Enterprise: The untapped edge, Jan 2026
2. Ibid.

Key benefits

Manage AI security with ease
Deploy, monitor, upgrade and manage F5 AI security solutions with one-click simplicity inside the OpenShift environment.

Combat adversarial threats
Protect against the most sophisticated prompt injection, jailbreak, and DDoS attacks with AI-powered defenses.

Simplify compliance
Apply out-of-the-box controls for frameworks such as the EU AI Act while maintaining detailed traceability regarding why prompts are blocked or allowed.

Secure AI data
Create and enforce enterprise standards for how AI models, users, and agents interact with sensitive data.

Expose vulnerabilities before deployment
Continuous, automated adversarial testing identifies risks before production to reduce exploitation windows.

Quantify and communicate risk and governance
Every assessment is risk‑scored against the Comprehensive AI Security Index (CASI) and Agentic Resistance Score (ARS) for objective evaluation, governance tracking, and executive reporting.