AI technology is booming, with 83% of organizations expecting to increase their investments in generative AI over the next three years. But as companies race to build and deploy intelligent applications, they're running into challenges. Most organizations lack the in-house AI skills needed, leading to new low-code and no-code solutions to simplify the development of AI-powered apps. They’re also struggling to address security, scalability, and performance for this new category of applications, requiring new methods compared to non-AI apps.
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.
Protect the new AI stack with F5 and Google Cloud.
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.
Os modelos de IA e os aplicativos que se conectam a eles são vulneráveis a ameaças específicas de IA que tentam envenenar o modelo de IA ou manipular saídas. O F5 AI Gateway funciona junto com as soluções de IA do Google Cloud para bloquear ataques de entrada, como injeção de prompt, e monitorar entradas para detectar exposição acidental de informações de identificação pessoal (PII).
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.
Os aplicativos modernos de IA precisam oferecer desempenho consistente onde quer que os usuários estejam, sem desperdiçar recursos de computação caros. A infraestrutura global do Google Cloud cria uma base eficiente para implantação de IA, com locais de borda distribuídos que minimizam a latência para usuários no mundo todo. O desempenho aprimorado com o gerenciamento inteligente de tráfego do F5 AI Gateway garante a utilização ideal de recursos e dimensionamento perfeito para atender à demanda, incluindo roteamento entre vários modelos de linguagem grandes (LLMs).
AI Gateway is Kubernetes-based, meaning it can run in GKE, other public clouds, private clouds, and on-premises data centers for AI application protection and performance anywhere. View AI Gateway logs in Google Cloud to streamline visibility or export OpenTelemetry data to your security information and event management (SIEM) or security orchestration, automation and response (SOAR) application to collect metrics on AI security and performance.
Google Cloud and F5 provide the development tools, infrastructure, and security necessary to turn AI aspirations into reality—without compromising on protection or performance. These solutions address real-world concerns about data privacy, model security, and operational efficiency to help organizations move faster while maintaining the controls they need to run with confidence.
To learn more, see our F5 on Google Cloud Platform webpage.