F5 博客
探索业界领先的应用交付与安全平台，了解我们如何携手合作，在 AI 驱动的世界中助力成功。
精选博客文章
F5在2026年9月Gartner® AI应用安全新兴市场象限™中获评“市场塑造者”
F5是仅有的两家被Gartner评为“市场塑造者”的供应商之一。
作者：John Maddison
AI发现威胁，AI阻止威胁。
F5现有WAF特征码和AI驱动的风险评分如何阻止PHP2Shell。
作者：Ramy Houssaini, Debrup Ghosh, Muhammad Abid
IDC MarketScape在《2026年Web应用和API保护平台厂商评估》中将F5评为领导者
IDC MarketScape指出，F5的主要优势包括AI驱动的WAF。
作者：Nirav Shah所有博客文章(105)
Right for the wrong reasons: The unstoppable rise to 2 billion APIs
The old API sprawl math was human-limited. AI agents now create and chain endpoints autonomously, driving rapid growth in AI-related API calls and integrations.
作者：Lori Mac Vittie
Why model routing may become security infrastructure
Agentic AI exposes identity limits. Specialized models plus policy-based routing binds authority to model choice, reducing blast radius and governance complexity.
作者：Lori Mac Vittie
AI App Delivery Top 10: Lack of security and regulatory compliance
AI expands compliance from securing paths and stores to governing runtime behavior—model access, retrieval context, outputs, and agent actions—so controls must move closer to inference.
作者：Lori Mac Vittie
AI App Delivery Top 10: Inability to handle latency
AI makes latency a trust problem, not just performance: slow “assistant” responses feel like hesitation or failure, and token-heavy prompts/outputs expand work even on healthy systems.
作者：Lori Mac Vittie
AI App Delivery Top 10: Unoptimized traffic steering
AI breaks traditional traffic steering assumptions: backends aren’t interchangeable, costs vary, and agents fan out unpredictably—so routing must account for model, GPU health, and data locality.
作者：Lori Mac Vittie
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.
作者：Lori Mac Vittie
AI App Delivery Top 10: Insufficient traffic controls
Traditional rate limits and throttles miss the real blast radius. AI workloads fan out across models, vector stores, and services, driving latency spikes, cascading failures, and retries.
作者：Lori Mac Vittie
AI App Delivery Top 10: Incomplete observability
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.
作者：Lori Mac Vittie
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.
作者：Lori Mac Vittie
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.
作者：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.
作者：Lori Mac Vittie
The new hybrid multicloud challenge is operating without an app delivery and security platform
Enterprises aren’t leaving on-prem—they’re modernizing it. As portfolios stay mixed, app delivery and security must shift from environment-specific features to a unified platform.
作者：Lori Mac Vittie
The efficiency trap: tokens, TOON, and the real availability question
Token efficiency in AI is trending, but at what cost? Explore the balance of performance, reliability, and correctness in formats like TOON and natural-language templates.
作者：Lori Mac Vittie
Multicloud chaos ends at the Equinix Edge with F5 Distributed Cloud CE
Simplify multicloud security with Equinix and F5 Distributed Cloud CE. Centralize your perimeter, reduce costs, and enhance performance with edge-driven WAAP.
作者：Lori Mac Vittie
Classification and the evolution of application delivery
AI and agent-driven requests demand smarter routing. Explore how classification enables modern traffic management and prepares infrastructure for orchestration.
作者：Lori Mac Vittie
Dipping the toe into agentic AI is better than chasing the wave
Discover five key reasons enterprises should pace agentic AI adoption, from evolving standards and TCO unknowns to critical data quality and observability needs.
作者：James Hendergart
Agentic AI Memory Systems Are a Bellwether for Network Traffic Growth
Agentic AI accelerates network impact with more traffic, dense pathways, and telemetry needs. Discover how enterprises can prepare for this operational shift.
作者：James Hendergart
AI Agents Moving Decision-Making Up the Stack
AI agents move decision-making into requests, redefining infrastructure. Learn how to prepare for runtime delegation with policy-first, intent-aware systems.
作者：Lori Mac VittieGoodbye Consoles, Hello Agents: The AI Revolution in Management
By 2035, AIOps will replace traditional management consoles, revolutionizing app delivery and security. Learn how this shift is already taking shape.
作者：Lori Mac VittieThe New Bot War: Everyone You Know Might Be Fake
AI-powered bots mimic human behavior, creating fake influence at scale. Explore how this war on authenticity breaks trust signals and challenges detection systems.
作者：Lori Mac VittieAPIs Are the Gatekeepers for Agentic AI
Learn why APIs are the foundation of Agentic AI, providing structured access to resources, seamless security, and dynamic validation at scale for next-gen agents.
作者：James Hendergart
WAAP Evolution: From ‘Web App and API’ to ‘Web, API, and AI’ Protection
WAAP evolves to include AI protection. Learn why web, API, and AI security are crucial in our latest research.
作者：Lori Mac Vittie
All Eyes on Automation
Discover how AIOps and automation are transforming IT operations. Get insights from our State of Application Strategy 2025 report and boost your IT efficiency.
作者：Lori Mac Vittie
AI Agents vs. Agentic AI: Understanding the Difference
Discover the key differences between AI agents and agentic AI. Learn how these distinct approaches to automation and intelligence are shaping the future of technology.
作者：Lori Mac VittieWhat is the WebAssembly Component Model?
Enable seamless interactions between WebAssembly modules from different languages using a common data form and interface types for efficient software composition.
作者：Oscar Spencer
Preparing Applications and APIs for Generative AI with JSON-LD
Prepare your web apps and APIs for generative AI. Optimize metadata and use JSON-LD to ensure AI tools understand and represent your data accurately.
作者：Lori Mac VittieData Immaturity: A Roadblock to Advanced AI
Data immaturity limits AI success due to poor data quality, accessibility, and governance. Overcome it with a clear strategy, robust governance, and scalable infrastructure.
作者：Lori Mac Vittie
What is the Application Delivery Top 10?
F5 aims to help organizations address challenges in delivering and securing applications, APIs, and generative AI with the Application Delivery Top 10 list.
作者：Lori Mac Vittie
Is WebAssembly Viable Outside the Browser?
With support for various languages and strong security, WebAssembly is breaking out of the browser and transforming server-side computing.
作者：Oscar SpencerAt the Intersection of Operational Data and Generative AI
Help your organization understand the impact of generative AI (GenAI) on its operational data practices, and learn how to better align GenAI technology adoption timelines with existing budgets, practi...
作者：James Hendergart