Security for AI Applications and Workloads
Protect AI apps, models, and data with complete visibility, robust security, and seamless scalability—powered by a single platform.
Attacks on AI are surging. It’s not too late to protect your data, models, and brand.
Protecting your organization, customers, and intellectual property is crucial for successful AI innovation. Without robust security, you risk data leaks, compromised models, and exploited APIs connecting your AI apps. By safeguarding AI at every layer, enterprises defend their brand, preserve trust, and unlock the true potential of AI-driven transformation.
The F5 Application Delivery and Security Platform seamlessly protects AI workloads wherever they run. With adaptive, layered defenses, it provides unmatched resilience, scalability, and performance—empowering organizations to secure their AI investments with unified, powerful security from a trusted industry leader.
Arm every element of your AI deployments
Use the F5 AI Reference Architecture to bring AI security across your hybrid multicloud environments—from data ingestion and model deployment to data integration for RAG. Safeguard your intellectual property and corporate data while achieving resilient, end-to-end protection.
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LLM Operations
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Data Connectivity
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API Protection
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Model Inference
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Shadow AI
The F5 AI Reference Architecture highlights critical protection points across AI workloads, including front-end apps, APIs, LLMs, model inference, RAG, data storage, and training.
LLM Observability is critical for monitoring and securing interactions between front-end applications, model inference, and downstream services. It ensures visibility, safe routing, and operational resilience across LLM workflows.
Secure AI Data Source Connectivity ensures safe integration of distributed data resources. It protects data flows and object storage for RAG, fine-tuning, and model training. And it safeguards corporate data and AI models.
The discovery and protection of AI APIs is essential for securing API endpoints. It ensures safe access for both internally and externally facing APIs. It enables the reliability and security of front-end applications, defending against unauthorized access and malicious traffic.
Secure AI Model Inferencing focuses on protecting sensitive data and scaling AI operations. It ensures secure cluster ingress, object storage protection, and safe interactions between front-end apps, LLMs, and downstream services.
Shadow AI protection is crucial for detecting unauthorized use of LLMs from users or services within an organization’s network. It blocks unapproved use of AI tools while safeguarding downstream services, ensuring compliance and maintaining the integrity of proprietary enterprise data.
Protect the APIs supporting AI apps
From prompt injection to malicious traffic, comprehensive API discovery and security help organizations identify and shield AI-driven endpoints. Implement flexible policies that adapt as AI demands evolve, enabling secure, uninterrupted experiences across distributed architectures.
Gain full observability and control
Gain deep visibility into AI operations, including API activity and app interactions with LLMs. Detect anomalies, optimize performance, and ensure compliance with customizable analytics and precise controls across hybrid multicloud environments.
Secure RAG data
Secure connectivity for RAG workflows with protected data access across cloud, edge, and on-prem deployments. Enable seamless and secure integration with low-latency performance when connecting data endpoints to AI models.
Detect and protect against shadow AI
Uncover and block unauthorized AI usage before it impacts compliance or data integrity. Tailor traffic controls to detect hidden AI endpoints and suspicious behaviors, ensuring only approved AI services operate within your ecosystem.
Explore Security Solutions for AI
RAG data ingest and model training rely on secure access to distributed data stores. This solution encrypts data flows and protects storage endpoints from unauthorized access and model poisoning, ensuring low latency, compliance, and accurate AI outcomes for both context-rich responses and reliable model development.
As AI inference expands across distributed environments, organizations face challenges in protecting sensitive corporate data. F5 ensures secure AI model inferencing by protecting data flows, enforcing consistent security policies, and reducing risks across cloud, edge, and on-premises infrastructures—while simplifying updates, scaling, and lifecycle management for resilient and compliant AI operations.
Resources
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Explore global AI security insights from leading enterprises, highlighting strategies to protect AI models and address vulnerabilities in an increasingly complex threat landscape.