F5 Research blog posts(8)
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
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
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?
F5 conducted a comprehensive sentiment analysis of security professionals on Reddit about their thoughts on AI.
By Shawn Wormke