Frontier AI is collapsing the patch window from weeks to minutes. Protect against threats with software that’s continuously hardened using the latest frontier AI models, while leveraging solutions that enforce protection in the data path before threats reach your apps, APIs, and AI models.
Frontier AI enables previously undiscovered attacks, which evade traditional defenses that depend on signatures to known vulnerabilities.
Threat actors can now exploit vulnerabilities within hours of discovery. Security teams are used to longer patch cycles, exposing critical gaps in protection.
Every patch release reveals vulnerabilities that attackers can reverse-engineer quickly, turning unpatched systems into easy targets before organizations can deploy updates.
To combat frontier AI threats, organizations need comprehensive solutions that provide runtime protection, virtual patching, and AI-driven threat mitigation to block attacks and adapt to evolving risks.
Learn moreF5 harnesses the latest frontier AI models to continuously harden our code across the F5 Application Delivery and Security Platform, systematically finding and fixing vulnerabilities at machine speed.
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F5 uses a 5-step AI scanning harness loop and the most advanced frontier AI models to help identify potential weaknesses earlier and validate improvements faster, hardening the products customers rely on to protect their most critical applications.
Using the most advanced frontier AI models, F5 runs a continuous scanning harness that finds, validates, and fixes vulnerabilities, hardening the products customers rely on. The approach is model-agnostic by design, so protection is never bound to a single vendor.
F5 shifts protection to the runtime layer, blocking threats instantly before they can reach your applications or APIs. With solutions like AI-powered WAF, virtual patching, and real-time threat mitigation, F5 stops zero-days, AI-driven exploit chains, and unauthorized access while ensuring legitimate traffic is uninterrupted.
This AI-powered WAF improved baseline threat detection to 98% accuracy while reducing false positives to 1%.
Automated vulnerability detection and virtual patching uncovers vulnerabilities with assigned CVE scores and severity levels to BIG-IP Advanced WAF, with automatic policy updates.
Detects and identifies AI agents, humans, and bots by assigning a trust score that governs their actions. This score controls what they can do, where they can operate, and how quickly they can act, blocking automated abuse.
Continuously discovers APIs, including shadow and unmanaged endpoints, monitors for abuse and sensitive data exposure, controlling and protecting endpoints inline to stop threats before they reach your services.
Inspects prompts and responses at the inference layer in real time, blocking prompt injection, data leakage, and unsafe output.
Continuously probes your models and AI applications for exploitable weaknesses, surfacing them the way an attacker would before one does.
Converged WAF, API security, bot defense, and DDoS mitigation that enforce one consistent policy across every environment, closing the gaps that tool sprawl leaves open.
End-to-end protection for AI models, applications, and agents, from red teaming in development to runtime guardrails in production, across hybrid multicloud environments.
On June 23, F5's AI Summit opens with a keynote from Gartner on securing AI in production. Learn how to build, secure, and scale AI in the age of inference, and where runtime enforcement fits as AI moves from pilot to production.
Reserve your seatThe data path. F5 enforces protection in the data path, intercepting an attack the moment behavior diverges from intended design, which means an exploit is stopped before it reaches the application even when no patch exists yet. Virtual patching through an integration with F5 Distributed Cloud Web App Scanning and BIG-IP Advanced WAF closes the exposure window automatically, so you are covered during the days or weeks it takes to develop, test, and deploy a code fix. The fix still matters for the long term. It is just no longer the only thing standing between a discovered vulnerability and a breach.
We harden F5 code with the same class of frontier AI models that attackers use, running a continuous five-step loop that ingests, analyzes, classifies, verifies, and fixes vulnerabilities at the source before they ship. The process is model-agnostic by design, so our security is never bound to a single vendor's model or release schedule, and findings are validated to remove noise rather than acted on blindly. We treat our position in your data path as the reason to hold a higher bar, not a lower one.
F5 operates at a different layer than either. Endpoint tools defend the host and exposure management maps what is reachable from the outside, but neither sits inline in the data path to stop an attack in real time before it touches the application, API, or AI model. F5 is that inline layer of enforcement, complementing your existing stack rather than replacing it. The result is defense in depth where the gap is widest, in the live traffic between an attacker and your applications.
F5 secures AI at the inference layer, where the model executes and where traditional controls have no visibility. F5 AI Guardrails enforce real-time policy on prompts and responses to prevent data leakage and abuse, while F5 AI Red Team continuously probes your models for exploits and converts those findings into validated runtime guardrails. The same data-path enforcement that protects your applications extends to your APIs and agentic workloads, with consistent policy across hybrid and multicloud environments.
Yes, and the false-positive question is the one we built for. The F5 AI-powered WAF functionality complements signatures with machine learning that scores every request dynamically. This enables enterprises to move to blocking mode sooner, stopping real attacks at machine speed without the manual tuning and legitimate-traffic disruption that make teams leave protection in monitor mode.
