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Use cases

Use cases overview

From securing applications and APIs to optimizing performance, scaling infrastructure, and enabling AI initiatives, F5 use cases demonstrate real-world approaches to solving today's most critical technology challenges. Filter by solution area to discover the use cases most relevant to your business goals.

All use cases

(25)
  • AI data delivery for S3-compatible storage solutions

    F5 accelerates secure AI data pipelines, ensuring storage, networking, and data delivery keep AI clusters fully utilized across hybrid and multicloud deployments.
  • AI runtime security solutions

    Secure AI applications, models, and connected data with runtime protections and continuous testing. Detect, prevent, and outpace evolving risks across the AI attack surface.
  • Optimize, Scale, and Secure AI Interactions

    Minimize latency, bolster security, and empower teams to accelerate model inference in Kubernetes and other environments. Get lightning-fast, reliable, and secure AI deployments.
  • Hybrid multicloud application delivery

    F5 enables you to secure, deliver, and optimize applications across hybrid and multicloud environments.
  • Bot management

    Protect your apps and APIs from bots and malicious automation while maintaining engagement that drives your business.
  • DDoS attack protection

    Under Attack? Call (866) 329-4253 or +1 (206) 272-7969
  • Full lifecycle API security

    Leave no API Behind: ensure continuous protection for the fabric underlying your digital business.
  • Mitigate application security vulnerabilities

    Critical vulnerabilities are released every 9 hours and attackers quickly weaponize exploits. F5 can help.
  • Virtual patching is your first line of defense

    Frontier AI can turn vulnerabilities into working exploits before they can be disclosed. With F5, enterprises leverage virtual patching to block exploits at runtime, buying time to build, test, and deploy patches.
  • AI factory load balancing

    Eliminate idle GPUs with intelligent AI workload load balancing, efficient model routing and secure traffic management—helping save on inference costs and maximizing the return on your AI factory investment.
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