F5 Research blog posts
F5 Research blog posts(15)
Your next SRE might be a machine
Control is concentrating at the point of intent: prompts, tokens, and routing. The architecture challenge is defining where AI can act, when it must defer, and how to reverse.
By Lori Mac Vittie
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
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
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
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
Lessons we are learning from our security incident
F5 CISO Christopher Burger answers common questions from customers surrounding the recently disclosed security incident.
By Christopher Burger
AI, inference, and tokens, oh my!
AI applications run on inference servers, driven by tokens—not traffic. Discover why understanding tokens and JSON data is critical to designing smarter infrastructure.
By Lori Mac Vittie
Inference: The most important piece of AI you’re pretending isn’t there
Scaling AI means scaling inference. Learn why inference servers are critical for managing performance, telemetry, and security in production AI workloads.
By Lori Mac Vittie
Dealing with application vulnerabilities: best practices for security testing
Both the scale and complexity of application vulnerabilities are rapidly escalating. Discover why a proactive, multi-layered approach to security testing is critical.
By Ian Dinno
IL5/6 won’t save you: Prompt injection threatens read-only LLMs
As LLMs integrate into U.S. Department of Defense IL5/IL6 environments, discover how F5’s solutions secure data, prevent injection attacks, and enhance zero trust models.
By Bohdan Olinares
How does SecOps feel about AI? Part 2: Data protection
F5 conducted a comprehensive sentiment analysis of security professionals on Reddit about their thoughts on AI.
By Mark TolerHow does SecOps feel about AI?
F5 conducted a comprehensive sentiment analysis of security professionals on Reddit about their thoughts on AI.
By Shawn Wormke