Featured Blog Posts
Three reasons to attend F5’s AI Virtual Summit
This June 23 virtual event will explore practical strategies for building, securing, and scaling AI.
By F5 Newsroom Staff
Securing our code with frontier AI: What F5 built and learned
F5 is using frontier AI models to change how we find and fix vulnerabilities in our own code.
By Kunal Anand
30 years at the application layer
F5 looks back to key moments that shaped the company.
By Kunal AnandAll Blog Posts(1432)
How F5 and Equinix help secure and govern distributed AI
As AI agents multiply across hybrid multicloud environments, F5 AI Guardrails and Equinix Distributed AI Hub give enterprises the security and governance to scale with confidence.
By Joe Kanagusuku
Your AI Is running in AWS. Now your security can too.
Your AI is running in AWS. Is your security keeping up? F5 AI Guardrails and AI Red Team are now available in AWS Marketplace.
By Ian Lauth
The secret to scaling AI is overcoming Conway’s Law
AI won’t scale by itself. Without a unified control plane that collapses tooling and ownership boundaries, inference becomes the most brittle and coordination-heavy tier.
By Lori Mac Vittie
How CISOs can measure AI security risk
Learn how CASI, ARS, and F5 Labs threat intelligence help CISOs measure AI security risk across the full AI lifecycle.
By Lee Ennis, Louise Scully
AI App Delivery Top 10: Lack of fault tolerance and resiliency
AI makes classic resiliency gaps far more costly: single GPU or dependency failures cascade through synchronous inference chains, compounding latency and degrading outputs.
By Lori Mac Vittie
API security risks persist across all environments, even when air-gapped
Internal APIs often have reduced governance and visibility, creating vulnerabilities that attackers can exploit even if air-gapped or protected on-premises.
By Ian Dinno
Virtual patching in practice with F5 BIG-IP Advanced WAF and F5 Distributed Cloud Web App Scanning
Virtual patching reduces risk when a patch isn’t immediately available for a vulnerability, providing an organization security and time to create, test, and deploy a patch.
By Jay Kelley, Ian DinnoSecuring our code with frontier AI: What F5 built and learned
F5 is using frontier AI models to change how we find and fix vulnerabilities in our own code.
By Kunal Anand
AI App Delivery Top 10: Weak DNS practices
For inference and agentic systems, DNS resilience is critical to availability and performance—bad resolution means misrouting, latency spikes, and service blackouts across regions.
By Lori Mac Vittie
Behavior and boundaries: The agentic security shift
Agents create emergent, unbounded sequences where risk accumulates over time. Security must shift from single-request validation to continuous behavioral governance across multi-step, evolving flows.
By Lori Mac Vittie
Operational sovereignty: Building resilience in an unpredictable world
For many organizations, the issue is no longer just controlling data. It’s maintaining the ability to operate, adapt, and recover as laws and conditions evolve.
By Bart Salaets
Identity is the gatekeeper to agentic AI
As agentic AI shifts machines from tools to actors, identity becomes the core control: who can act, on whose behalf, with what scope—enforced inline at inference time.
By Lori Mac Vittie
AI security with evidence: What we are bringing to Gartner SRM
Leading up to his session at Gartner SRM, F5’s SVP of Product Marketing discusses how F5 helps organizations secure AI in three practical steps.
By Nirav ShahBuild secure, resilient, AI-ready public services with F5 and AWS
Learn how public sector organizations can modernize apps and AI securely while balancing legacy systems, compliance, and operational risk.
By Dave Morrissey
Why digital sovereignty is ratcheting up the priority list
Many organizations are rethinking where applications run, who controls critical services, and how dependent they have become on external technology providers.
By Bart Salaets
AI is driving the emergence of new traffic types
AI adoption is creating new first-class traffic types: inference requests plus machine-driven automation traffic and high-volume telemetry traffic that feed control loops.
By Lori Mac Vittie
Enterprise AI needs a better data layer
Learn why reliable data flow, control, and protection matter as much as models and compute. F5 and Dell discuss their technology alliance built for enterprise intelligence projects.
By Hunter Smit, Mark Menger, Adam Robyak
F5 joins the Dell AI Ecosystem Program to help enterprises operationalize AI
F5 joins the Dell AI Ecosystem Program to help enterprises deploy production AI with greater performance, security, and control.
By Yuichi Miyazaki
F5’s climate target at the halfway point
Lessons we’ve learned from five years of F5’s science-based target.
By Katherine Clouse
The role of WAFs and API discovery in securing agentic AI applications
To secure agentic AI systems as fast as their capabilities and integrations change at runtime, API discovery and WAFs are necessary to apply practical controls.
By Yaniv Sazman
Inference is now the center of operational gravity
Multi-model operations and API-driven automation push control to inference-time layers—prompt, token/control, routing, and moderation—where cost, risk, and performance must be managed.
By Lori Mac Vittie
The post-Mythos era: Why AI-powered defense is no longer optional
Learn why your organization must move now to automate WAF enforcement
By Darshant Bhagat, Debrup Ghosh
Announcing F5 AI Guardrails integration with Google Cloud Agent Gateway
F5 AI Guardrails joins Google Cloud Agent Gateway to bring consistent runtime security across every agent, in any environment.
By Kunal Anand
F5 BIG-IP v21.1 is now generally available, bringing PQC and AI security enhancements
F5’s newest version of BIG-IP strengthens PQC readiness, while adding new AI protection capabilities
By Tom Atkins
Your infrastructure is like a city. Here's why that matters.
Enterprise IT environments are like complex, sprawling cities. See why a single, interconnected management platform is needed to manage them.
By François Locoh-Donou
IT/OT convergence: What’s happening and why security has to lead
As IT and OT systems converge, the attack surface grows. Learn how organizations can integrate securely—and how F5 ADSP helps protect operations at scale.
By Frank Yue
The patch window has closed. Here is how F5 is built for what comes next.
As AI models have changed software security, the industry needs to adapt.
By Kunal Anand
Sessions are sticky, context is clingy: How inference cheats to maintain conversations
“Stateless” inference isn’t truly stateless—conversation state is hauled along in tokens each request. That replay drives bandwidth, compute, and latency as context grows.
By Lori Mac VittieYou can’t firewall a conversation: How AI red-teaming became mission-critical
With AI deployments moving at machine speed, traditional methods of testing software are no longer fit for purpose.
By Jessica Brennan, Allan Healy
The benefits of AI for connected vehicle telemetry data
See how AI intersects with telemetry to deliver and secure connected.
By Frank Yue