F5 Application Delivery and Security Platform (ADSP) blog posts(55)
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
Managing AI agents with trust, control, and confidence
Agentic AI is reshaping applications. Learn how to establish trust, enforce boundaries, and safely enable AI agents at scale.
By Adam Martinetti, Robert Kusters, Randy Dizitser
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
From rules to risk: The evolution of WAFs and the rise of AI-powered outcomes
WAF programs stall in a familiar place: blocking mode is delayed because tuning is expensive.
By Debrup Ghosh
AI latency: Why security can’t be a trade-off
AI latency isn’t just about speed. It’s about designing systems that balance performance, security, and reliability.
By Jessica BrennanYou 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
CrowdStrike + F5: Extending detection and response to the network layer
As a Select member of the F5 Application Delivery and Security Platform (ADSP) Partner Program, CrowdStrike is working with F5 to extend detection and response to F5 BIG-IP systems at the network laye...
By Chris Stewart
30 years at the application layer
On its 30th anniversary, F5 looks back to key moments that shaped the company.
By Kunal Anand
F5 and Nutanix unveil new joint solutions
The F5 + Nutanix partnership helps customers simplify platform migrations, secure AI-driven applications, and deliver consistent performance across environments.
By Yuichi Miyazaki
Securely adopt healthcare AI with F5 and Google Cloud
Together, F5 and Google Cloud enable secure, cost-efficient, performance-optimized AI that accelerates healthcare innovation.
By F5 Newsroom Staff
Why F5’s partner ecosystem is key to helping global businesses harness AI
See how the F5 Channel Partner program advances application delivery and security with cutting-edge solutions for AI workloads, hybrid cloud environments, and digital transformation.
By Lisa Citron
Operational sovereignty: Why digital portability drives resilience
Learn how operational sovereignty boosts resilience and why having the right tools is critical to staying ahead in an unpredictable world.
By Bart Salaets
AI observability: Auditing and tracing AI decisions
Discover how AI observability ensures accountability for AI decisions with advanced runtime visibility, auditing, & traceability across AI workflows & systems.
By Jessica Brennan
MazeBolt + F5: Partners for automated DDoS protection
Integrating MazeBolt DDoS testing technologies into the F5 Application Delivery and Security Platform (ADSP) delivers fully automated, AI-powered DDoS protections.
By Rona Rom Amram
Secure your AI data pipeline without slowing pipelines down
Securing the AI data pipeline is not optional. That much is clear. What is far less obvious—and far more challenging—is how to secure it well
By Mark Menger
Why BOLA’s "authorization gap" requires a runtime strategy
Broken object-level authorization (BOLA) is not a bug but a failure of access controls. Learn how a three-tiered runtime strategy can close the gap and protect data.
By Chaim Peer, Ian Dinno
AI compliance and regulation: Using F5 AI Guardrails to meet legal and industry standards
See how F5 AI Guardrails and F5 AI Red Team simplify compliance, reduce legal exposure, and enable organizations to demonstrate responsible AI governance.
By Jessica Brennan
OPSWAT and F5: Taking network traffic security to the next level
Integrating OPSWAT file security technologies into the F5 platform provides critical defenses to keep complex networks and sensitive data secure.
By George Prichici
Delivering AI applications at scale: The role of ADCs
Delivering AI applications reliably requires more than fast models or elastic infrastructure. It requires a control layer to govern how AI apps are consumed.
By Buu Lam
Classifier-based vs. LLM-driven guardrails: What actually works at AI runtime
Not all AI guardrails work the same way. Learn why it’s important to know the distinction between classifier-based and LLM-driven guardrails.
By Jessica Brennan
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
Keyfactor + F5: Integrating digital trust in the F5 platform
By integrating digital trust solutions into F5 ADSP, Keyfactor and F5 redefine how organizations protect and deliver digital services at enterprise scale.
By Jack Spellacy
Responsible AI: Guardrails align innovation with ethics
AI innovation moves fast. But without the right guardrails, speed can come at the cost of trust, accountability, and long-term value.
By Mark TolerBest 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
Rein in API sprawl with F5 and Google Cloud
Find out how F5 and Google Cloud can help you secure and manage your ever-increasing API integrations.
By Beth McElroy
Why your AI policy, governance, and guardrails can’t wait
AI policy and governance can no longer be treated as paperwork exercises or future considerations. They must be paired with practical, enforceable guardrails.
By Mark Toler
AI risk management: how guardrails can offer mitigation
AI risk is driven by probabilistic behavior and limited explainability, not just security flaws. Effective management requires continuous operational control.
By Ian Lauth
AI security through the analyst lens: insights from Gartner®, Forrester, and KuppingerCole
Enterprises are discovering that securing AI requires purpose-built solutions.
By Jessica Brennan