F5 AI Gateway

Gain centralized control within the F5 Application Delivery and Security Platform to monitor, secure, and optimize AI usage while managing costs and enforcing policies across distributed and multi-LLM environments.

AI model routing and data security

AI Gateway leverages a portable microservices-based architecture to seamlessly deploy AI applications in any Kubernetes environment.

Powered by the F5 Application Delivery and Security Platform (ADSP), confidently deploy and manage AI applications with F5 AI Gateway. Ensure unmatched security, scalability, and control for your AI workflows. F5 inspects and protects prompts and responses in real time, preventing data leakage and optimizing outcomes. With advanced observability, governance, and customizable controls, enterprises are empowered to deliver secure, compliant, and cost-efficient AI operations at scale.

  • Public Cloud
    Securely monitor and protect SLM and LLM application workloads in scalable environments managed by leading cloud providers like Azure, AWS, and Google Cloud Platform, ensuring flexibility and ease of deployment across hyperscalers.
  • On-Premises
    Optimize security and performance for SLM and LLM application workloads hosted directly on physical infrastructure or data centers, enabling maximum control and compliance with organizational policies.
  • Private Cloud
    Enhance observability and protection for SLM and LLM workloads in private cloud environments or co-location facilities, offering dedicated resources and tailored configurations for advanced security and operational consistency.

AI model routing and data security

Built for the AI security era

Routing and observability

F5 AI Gateway enhances routing and observability with context-based model routing to optimize responses and streamline development. Integrated with OpenTelemetry, it provides full transaction visibility, while exporting logs to SIEM and SOAR tools ensures compliance. By simplifying routing and offering actionable insights, it accelerates AI application iteration, efficiency, and scalability.

 

secure inputs and outputs

Secure inputs and outputs

F5 AI Gateway ensures secure AI interactions by protecting against prompt injection attacks and sensitive data disclosure in real time. Organizations benefit from robust authentication, authorization, and role-based access control (RBAC) to maintain compliance and governance. Secure mTLS communication safeguards AI traffic, while dynamic guardrail/processor updates adapt to emerging threats, delivering enhanced security, reliability, and resilience.

Scalable deployment and operations

F5 AI Gateway streamlines scalable deployment and operations by enabling rapid rollout across any infrastructure. With built-in traffic management and robust security controls, it ensures secure scalability to meet dynamic business needs. Flexible Kubernetes integrations, advanced automation tools, and support for leading AI models optimize performance, accelerate iteration, and adapt to growing AI demands while maintaining reliability and compliance.

data leakage detection and prevention

Data leakage detection and prevention

F5 AI Gateway provides robust data leakage detection and prevention by inspecting prompts and responses in real time, identifying and mitigating risks to sensitive data like PII, and PHI. It enforces policies to log, redact, or block content, ensuring compliance with OWASP guidelines. Seamless SIEM and SOAR integration enables rapid incident response and auditing workflows, safeguarding AI models from malicious or inadvertent data leaks.

A key pillar to arm your AI deployments

AI gateway diagram

AI Gateway delivers LLM security and observability as a core component of the AI delivery and security solution, integrated into the F5 ADSP.

LLM Security is critical for monitoring and securing interactions between front-end applications, model inference, and downstream services, ensuring visibility, safe routing, and operational resilience across LLM workflows.

Explore AI solutions

Core Capabilities

Observe, detect, and mitigate risks associated with AI applications while ensuring data governance through automatic identification and remediation of inbound prompts and outbound responses.

Inspection of all inbound and outbound traffic to AI LLM and SLM models to mitigate risks effectively.

Identify and protect customer PII, and sensitive enterprise data from exfiltration.

Enforce authentication, authorization, RBAC, and credential management with audit log exports for compliance.   

Connect and route traffic to OpenAI, Anthropic, Ollama, and upstream HTTP services seamlessly.

Leverage Python SDK to create tailored policies for traffic inspection based on organizational needs.

Automated OpenTelemetry data exports to SIEM/SOAR systems for metrics and trace observability.

Route requests to high- or low-cost models based on origin, content, and context.

Route AI prompts to the ideal model based on cost or use case, optimizing efficiency and scalability.

Platform support and integrations

AI Gateway integrates with public cloud platforms, leading AI models, and observability tools to deliver scalable governance, security, and seamless visibility.

Public cloud compatibility

Deploy AI Gateway on leading public cloud platforms enabling scalable access to AI applications.

AI model support

AI Gateway integrates with leading AI model platforms and large language models, ensuring secure application interactions and seamless support for SLM and LLM services.

Observability integrations

AI Gateway leverages OpenTelemetry to enhance visibility and compliance, enabling seamless integration with leading SIEM and SOAR tools for efficient incident management.

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