Reduce AI risk with integrated security for AI applications, APIs, and data—across hybrid multicloud environments.
The F5 Application Delivery and Security Platform (ADSP) delivers the most adaptable AI security platform, helping teams protect AI systems as threats rapidly evolve. With custom guardrails, automated adversarial testing and vulnerability remediation, F5 secures any model—on-prem, air-gapped, private cloud, or hybrid—while meeting strict data privacy, sovereignty, and compliance requirements.
Use natural language controls to easily create policies and test vulnerabilities—no AI experts required.
Built-in privacy and data sovereignty means you can keep AI data in your environment across deployments.
Explain every AI decision by seeing why prompts are allowed or blocked, how attacks work, and where risks are trending.
Security that evolves—find and fix AI vulnerabilities early and adapt defenses as attacks and regulations change.
As AI systems move from pilot to production, new threats emerge daily—from supply chain risks and model hallucinations to malicious user behavior.
F5 helps enterprises secure and govern AI interactions across every environment with layered protections that span training, pre-production, and runtime.
Teams gain the flexibility to adapt defenses quickly as AI threats, usage patterns, technologies, and business needs continuously evolve.

Defines and deploys data security, threat management, and governance for AI models, apps, and agents.
Directs AI agents to detect and fix vulnerabilities, translating findings into active guardrails.
Uses ML-driven analytics to uncover, track, and mitigate threats to APIs connecting AI workloads.
Secures AI/ML workloads with advanced layer 7 controls in dynamic Kubernetes.
Secures AI applications and APIs from malicious bots without disrupting operations.
Identifies and mitigates volumetric attacks on AI applications in real time.
Threats to AI applications, models, and agents are growing exponentially. The most preemptive red teaming still benefits from human defenders, but the rapid pace of AI development demands more.
F5 equips teams with a constantly updated AI prompt vulnerability library, adding 10,000 new attack patterns every month based on the latest trends to help enterprises identify vulnerabilities, test AI systems proactively, and turn findings into actionable defenses—helping organizations stay ahead of evolving AI risks.

Directs AI agents to detect and fix vulnerabilities, translating findings into active guardrails.
The AI attack surface spans a complex web of integrations, tool calls, and both customer-managed and third-party AI services. Continuous visibility into APIs, internal AI systems, and shadow AI usage is essential for strong security.
F5 gives enterprises the breadth and depth of insights needed to detect, analyze, and prioritize risks across the entire AI attack surface, helping teams stay ahead of evolving threats.

Find applications and APIs to harden, and vulnerabilities to remediate
Continuously scans your external attack surface to secure exposed AI APIs and models.
Discovers and monitors AI APIs with ML insights to reduce risk and ensure compliance.
Defines and deploys data security, threat management, and governance for AI models, apps, and agents.
Privacy, data sovereignty, and compliance are critical for responsible AI adoption.
AI systems process vast amounts of sensitive data, and every organization faces unique regulatory and policy risks.
F5 helps teams enforce privacy and compliance within customer-managed environments, using automated testing to identify real-world policy violations and adapt controls as regulations, models, and AI use cases evolve.

Stop automated attacks using multi-signal detection and adaptive mitigations
Add analytics signals to improve detection, tuning, and security outcomes
Control third-party aggregator traffic to reduce abuse and business risk
Identify and mitigate malicious browser-side scripts and data skimming
SOLUTION OVERVIEW
SOLUTION OVERVIEW
SOLUTION OVERVIEW
SOLUTION OVERVIEW
Security for AI focuses on protecting AI applications, models, agents, and data from AI-specific threats such as prompt injection, jailbreaks, data leakage, and model misuse. AI for Security uses AI techniques to improve traditional security operations, such as faster threat detection or automated triage. F5 prioritizes security for AI by delivering runtime protection, custom guardrails, and automated testing across any environment—ensuring AI systems are secure, compliant, and trustworthy at scale.
AI security solutions protect against prompt injection and jailbreak attacks by enforcing runtime guardrails that inspect prompts, context, tool calls, and outputs in real time. F5 applies layered defenses that detect malicious intent, block policy bypass attempts, and prevent unauthorized data access—without retraining models. Automated red teaming continuously tests new attack patterns and translates findings into active protections, allowing defenses to adapt as threats evolve.
AI agents introduce expanded risk because they can take actions, call tools, access APIs, and interact with sensitive systems autonomously. Unlike traditional LLMs that generate responses, agents can be manipulated to misuse privileges, exfiltrate data, or execute unintended actions. F5 secures AI agents with consistent policy enforcement, runtime visibility, and guardrails across models, tools, and integrations—reducing blast radius while enabling safe automation.
AI-driven security operations deliver faster detection, lower operational overhead, and reduced incident impact compared to traditional SIEM. Instead of relying on static rules and manual analysis, AI security solutions automate vulnerability discovery, prioritize real risk, and adapt defenses in real time. With F5, organizations reduce costly retraining cycles, limit data leakage and downtime, and accelerate secure AI adoption—delivering measurable ROI through lower risk and higher operational efficiency.
Yes. AI security solutions defend against adversarial data poisoning by monitoring AI interactions, detecting anomalous behavior, and validating inputs and outputs against defined policies. F5 enables teams to identify poisoning risks across training, fine-tuning, and inference pipelines, then enforce controls at runtime. Automated testing and explainable insights help teams detect manipulation early and prevent corrupted data from degrading model integrity or business outcomes.