AI Infrastructure blog posts(21)
Standardize AI delivery with F5 NGINX Gateway Fabric
How F5 NGINX Gateway Fabric helps enterprises standardize Kubernetes traffic, secure apps, and prepare for AI inference at scale.
By Karthik Krishnaswamy
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
What customers are telling us about AI, hybrid multicloud, and application security
F5’s new Senior VP of Product Marketing explains the AI pressures enterprise leaders are facing and what they need to bolster their organizations.
By Nirav Shah
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
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
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
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
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
Three moves CISOs can't afford to delay
F5’s Chief Technology Operating Officer discusses findings from this year’s F5 State of Application Strategy Report—and what CISOs must do to get ahead of these trends.
By Michael Montoya
Three forces reshaping security leadership: Distributed AI inference, threat evolution, and hybrid multicloud
See the latest AI trends rapidly altering the security landscape.
By John Maddison
F5 Report 2026: AI inferencing has arrived, complicating an already complex IT landscape
Newly released F5 research shows the majority of enterprises are taking AI inference in-house, with the average company now using seven AI models.
By Kunal Anand
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
You 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
How does SecOps feel about AI? Excessive agency
“Excessive agency” is now the top AI concern among security professionals, according to F5 research. Read our blog post to find out why.
By Mark Toler
Your next million customers will be AI. Security must evolve.
F5 and Skyfire are redefining trust, identity, and protection in the emerging agentic AI economy.
By Ahmed Dessouki, Robert Kusters
A sneak peek into F5 BIG-IP v21.1: AI security, PQC, and software enhancements
Learn how F5’s BIG-IP v21.1 delivers AI security and PQC-readiness.
By Tom Atkins
Banking on resilience in the AI era: Why 2026 is different
In 2026, resilience is a top banking priority. Discover why outages, digital sovereignty, and AI in production make always‑on infrastructure a key differentiator.
By Chad Davis
MCP: The key to AI-ready application delivery
Model Context Protocol (MCP) enables secure, low-latency AI integration in modern applications. Learn why MCP is essential for future-proof application delivery strategies.
By Griff Shelley
Best practices for optimizing AI infrastructure at scale
Optimizing AI infrastructure isn’t about chasing peak performance benchmarks. It’s about designing for stability, resiliency, security, and operational clarity
By Mark Menger