AI Security with F5 AI Guardrails and F5 AI Red Team
Comprehensive security for your AI apps, models, agents, and data—from pilot to production
Protection from attackers is only one part of AI security
Internal misuse and harmful outputs are often more frequent and just as damaging.
Users and enterprises trust AI with large volumes of sensitive data. Without comprehensive security, models and agents can be used to escalate privileges and expose data with fewer steps.
The AI attack surface evolves every day
Your security should keep pace.
Threat actors develop new ways to attack, models find new paths to harmful outputs, and users find new ways to break things. F5 AI Guardrails and F5 AI Red Team combine adaptable runtime security controls with agentic threat intelligence to help secure and govern every AI model and agent—from pilot to production.
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Explore the key findings
SecureIQLab subjected F5 AI Guardrails to 19,679 adversarial test cases across 10 attack categories - the same threats targeting enterprise AI deployments in the wild today.
Here’s what the data revealed:
When no workflow is off limits, AI Guardrails defines the boundary
Create custom, policy-driven security controls tailored by use case, region, and industry through an intuitive natural language interface. With built-in protections for PII, the EU AI Act, and more, F5 AI Guardrails helps teams adapt security as requirements change.
Consistent security policies across every model, every cloud, and every deployment
Secure the millions of public and proprietary models with consistent policy enforcement, privacy, and threat protection, independent of any single cloud or model provider.
Outpace attackers with threat-informed defense
Backed by the preeminent AI threat library with over 10,000 attack patterns added monthly, F5 AI Red Team delivers explainable, risk-scored insights that translate into active guardrails quickly and easily.
Govern your AI present and anticipate your AI future
Defend AI applications
Protect AI from threats like prompt injections and jailbreaks, and adapt as adversarial techniques evolve.
Secure AI data
Detect and prevent data leakage and trigger policy-driven remediation before sensitive data is exposed.
Govern responsible AI
Support regulatory compliance, obstruct harmful outputs, and enforce limits on model and agent privileges
Simplify observability
Maintain centralized visibility across interactions with audit-ready traceability and agentic threat intelligence.
F5 ADSP delivers a comprehensive platform for securing AI
By pairing AI runtime protection with 30 years of application-layer expertise and best-in-class Web App and API Security (WAAP) capabilities in F5 ADSP, customers can deliver and secure every application, every API, and now every model, agent, and connected data set, across hybrid and multicloud environments.
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F5 named a leader in KuppingerCole’s Generative AI Defense Leadership Compass
KuppingerCole has released its inaugural Generative AI Defense (GAD) Leadership Compass, naming F5 a leader in the product, market, and innovation categories of this emerging AI security space. This recognition highlights progress in securing generative AI applications as organizations confront AI risks from multiple dimensions.
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Additional resources
OWASP top 10 for LLM F5 alignment
The OWASP Top 10 for LLM Applications (2025) underscores how AI introduces new security and governance risks while raising the stakes for traditional application protection.
Read the infoarticleBlogs
AI security through the analyst lens: insights from Gartner®, Forrester, and KuppingerCole ›
AI data privacy: guardrails that protect sensitive data ›
Why your AI policy, governance, and guardrails can't wait ›
AI risk management: how guardrails can offer mitigatation ›
Demos
Reports
Gartner’s Market Guide for AI Trust, Risk, and Security Management ›
F5 named a leader in KuppingerCole’s Generative AI Defense Leadership Compass ›
The Insider AI Threat Report ›
Explore generative AI inference security risks ›
The state of AI delivery and security in 2026: Implications for app infrastructures ›