The future of finserv is powered by connected and distributed AI models and agents. F5 helps enterprises to securely scale, connect, and optimize AI workflows—maximizing performance and unlocking the full potential of AI.
AI is transforming operations for banks and financial service providers, streamlining customer experiences, advancing fraud detection, and automating core processes. But these innovations come with new risks, increase thecomplexity of distributed architectures, and complicate regulatory compliance. Maintaining customer trust and complying with evolving regulations such as, the EU AI Act or related U.S. Federal Executive Orders requires a trusted, scalable approach to application delivery and security.
With F5, leading banks and insurers are empowered to rapidly deploy, secure, and scale their AI-driven services. The F5 Application Delivery and Security Platform delivers robust AI model protection, advanced API and application security, and seamless multicloud orchestration, all with compliance and resiliency built in.
F5 helps you accelerate AI adoption while reducing operational complexity, risk, and unplanned downtime. Confidently advance your AI transformation and keep account holder trust at the center, so you can securely deliver personalized, compliant, and innovative financial services at scale.
Delivering reliable, low latency inference and predictable model delivery at scale across hybrid and multicloud environments is a top operational concern for many financial institutions, because performance problems directly affect account holder sentiment. AI introduces new security and governance risks across APIs, data pipelines, and models. As one of the most highly regulated industries, boards, auditors, and regulators expect demonstrable traceability, explainability, and documented governance for any AI-enabled service.
FinServ AI use cases, like wealth advisor AI assistants, depend on continuous data flow, but pipeline failures resulting from storage endpoint outages, overloads, or latency spikes can halt training, fine-tuning, and RAG processes. Without the right intelligent failover and dynamic traffic management solutions, these disruptions lead to idle GPUs, missed SLAs, and delayed time-to-model.
The lack of centralized visibility of how financial services organization’s AI models and agents interact with users and data are leaving them exposed. Regulators and auditors expect traceable and explainable documented governance of AI systems, especially in account holder facing AI use cases where sensitive data is involved.
Threats to AI apps, and agents are growing exponentially, particularly in financial services where sensitive customer and transaction data can be exposed through, weak data loss prevention (DLP), or unauthorized data flows, like ones associated with shadow AI activity. The open finance movement also adds complexity through third party account holder data sharing and the usage of their AI systems, heightening the risk of fraud, account takeover, and regulatory penalties.
F5 BIG-IP provides a secure, high-performance front door for AI model training, fine-tuning, and RAG data ingestion. With intelligently managed and protected dataset movement, enterprises can ensure resilient availability across storage endpoints, maintain loose coupling for vendor flexibility, and optimize real-time traffic. Seamlessly deliver massive datasets while preventing data bottlenecks, mitigating security risks, and ensuring uninterrupted, efficient AI workflows.
Maximize GPU cluster maximization with AI factory load balancing and security powered by F5 BIG-IP Next for Kubernetes deployed on NVIDIA BlueField-3 DPUs. With BIG-IP and NGINX, manage traffic into and between AI factory services such as training and inference, streamline workload delivery, and reduce latency. Optimize resource usage to keep GPUs fully utilized for faster, more cost-effective AI operations.
Protect AI applications, APIs, models, and data with F5 AI Guardrails, AI Red Team, Distributed Cloud Services, NGINX, and BIG-IP. Prevent data leakage and defend against evolving threats while ensuring full visibility and control over how AI models and applications interact across environments.
Connect and secure distributed AI infrastructures with F5’s AI multicloud networking solution. By orchestrating data flows and securing AI pipelines through centralized management, F5 ensures seamless operations, robust security, and compliance across hybrid and multicloud environments—unlocking the full potential of enterprise AI.
F5 collaborates with the world’s leading AI innovators to form industry-leading technology alliance partnerships. Together, we provide integrated, secure, and streamlined solutions to support complex AI application ecosystems.
Explore the F5 AI reference architecture to discover best practices for enabling secure, reliable, and performant AI infrastructure across your hybrid, multicloud environments. See how F5 solutions support everything from data ingestion for model training and inference to optimized AI networking. Keep data moving at line rate and scale traffic seamlessly for consistent, cost-efficient performance end-to-end.
The F5 AI Reference Architecture showcases strategic traffic management and critical security points across the entire AI pipeline—from the web and API front door to data ingest, cluster ingress, LLMs, model inference, RAG workflows, data storage, and training—ensuring fast, reliable, and secure operations at every stage.
With 80% of financial organizations already using AI, the question isn't whether to adopt—it's how to implement strategically while addressing scalability, security, and compliance challenges. Learn how to optimize your AI strategy in financial services.
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