Build, Secure, and Optimize AI Apps Anywhere with F5 and Google Cloud

When it comes to AI applications, security can't be an afterthought. With model security ranking as the second highest AI concern after cost, organizations need a security-first approach that protects both their AI models and the applications that leverage them. This means having a security strategy for every layer of the AI infrastructure architecture. 

F5 and Google Cloud work together to provide cloud security for AI that protects the entire application stack. Google Cloud provides secure infrastructure upon which to run your AI models and apps, but as part of the shared responsibility model, you must secure your data and applications.

Our partnership makes it easier to build secure AI-powered apps through a combination of Google Cloud solutions for AI development, dedicated AI security in F5 AI Gateway, and modern app security solutions from F5. 

Google Cloud AI solutions eliminate the traditional barriers to building intelligent applications. Instead of requiring deep machine learning expertise, developers can leverage the Google Cloud Vertex AI platform for end-to-end machine learning (ML) model development and deployment. Pre-trained first- and third-party models serve as a starting point to build or fine-tune from, which can then be deployed and served from Google Kubernetes Engine (GKE). All of this runs on secure, purpose-built AI infrastructure, including cloud Tensor Processing Units (TPUs) that offer high reliability and availability.

AI models and the applications that connect to them are vulnerable to AI-specific threats that attempt to poison the AI model or manipulate outputs. F5 AI Gateway works with Google Cloud AI solutions to block inbound attacks, such as prompt injection, and monitor inputs to detect accidental exposure of personally identifiable information (PII). Output validation ensures your AI models don't produce harmful or biased responses that could damage your reputation. 

While AI models and apps need AI-specific protections, they also need defenses against traditional application threats. APIs are a particular risk due to how numerous they are in AI applications, but bots and distributed denial-of-service (DDoS) attacks are concerns, too. By integrating F5 security solutions such as F5 Distributed Cloud Web App and API Protection with Google Cloud, organizations can protect against OWASP Top 10 threats for applications. 

Modern AI applications need to deliver consistent performance wherever users are located without wasting expensive compute resources. Google Cloud's global infrastructure creates an efficient foundation for AI deployment, with distributed edge locations that minimize latency for users worldwide. Increased performance with intelligent traffic management from F5 AI Gateway ensures optimal resource utilization and seamless scaling to match demand, even load balancing across multiple large language models (LLMs). Caching and rate limiting for local and third-party AI models help control costs while maintaining performance.