F5 announced early access of F5 AI Gateway to streamline interactions between applications, APIs, and large language models (LLMs) driving enterprise AI adoption.
This containerized solution optimizes performance, observability, and protection capabilities—all leading to reduced costs. Integrated with F5’s portfolio, AI Gateway gives security and operations teams a seamless path to adopting AI services through significantly improved data output quality and a superior user experience.
“LLMs are unlocking new levels of productivity and enhanced user experiences for customers, but they also require oversight, deep inspection at inference-time, and defense against new types of threats,” said Kunal Anand, Chief Innovation Officer at F5. “By addressing these new requirements and integrating with F5’s trusted solutions for API traffic management, we’re enabling customers to confidently and efficiently deploy AI-powered applications in a massively larger threat landscape.”
F5 AI Gateway observes, optimizes, and secures a vast number of user and automated variables to offer cost reductions, mitigate malicious threats, and ensure regulatory compliance.
F5 AI Gateway is designed to meet customers—and their apps—at the ideal place in their AI journey. It can be deployed in any cloud or data center and will natively integrate with F5’s NGINX and BIG-IP platforms to take advantage of F5’s leading app security and delivery services in traditional, multicloud, or edge deployments. In addition, the solution’s open extensibility enables organizations to develop and customize programmable security and controls enforced by F5 AI Gateway. These processes can be easily updated and applied dynamically to drive instant adherence to security policies and compliance mandates.
F5 AI Gateway:
- Delivers security and compliance policy enforcement with automated detection and remediation against the risks identified in the OWASP Top Ten for LLM Applications.
- Offloads duplicate tasks from LLMs with semantic caching, enhancing the user experience and reducing operations costs.
- Streamlines integration processes, allowing developers to focus on building out AI-powered applications rather than managing complex infrastructures.
- Optimizes load balancing, traffic routing, and rate limiting for local and third-party LLMs to maintain service availability and enhance performance.
- Provides a single API interface that developers can use to access their AI model of choice.
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