F5 Application Delivery and Security Platform (ADSP) blog posts(42)
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
AI data privacy: guardrails that protect sensitive data
AI data privacy breaches have a direct impact on customer trust and reinforce data privacy as not just a technical challenge, but also as a governance and trust issue.
By Ian LauthWhy AI storage demands a new approach to load balancing
AI workloads require reimagined storage. Their distinct data access patterns reveal critical bottlenecks and deep inefficiencies within legacy infrastructure.
By Mark Menger, Griff Shelley
Kasm Workspaces + F5: Partners for virtual desktop access
Kasm virtual platforms, built on F5 ADSP for enhanced security, performance, and scalability, deliver applications and data to distributed teams.
By Emrul Islam
What are AI guardrails? Evolving safety beyond foundational model providers
See why AI guardrails must evolve to address a more holistic picture of risk within organizations’ rapidly evolving threat surfaces.
By Ian Lauth, James White
F5 BIG-IP Next for Kubernetes joins the NVIDIA Enterprise AI Factory validated design
F5 BIG-IP Next for Kubernetes is being included in the NVIDIA Enterprise AI Factory validated design—enabling customers to seamlessly extend F5 BIG-IP as they adopt NVIDIA platforms.
By Ahmed Guetari
F5 secures today’s modern and AI applications
The F5 Application Delivery and Security Platform (ADSP) combines security with flexibility to deliver and protect any app and API and now any AI model or agent anywhere. F5 ADSP provides robust WAAP ...
By Jay Kelley, Ian Lauth
AppViewX + F5: Automating and orchestrating app delivery
As an F5 ADSP Select partner, AppViewX works with F5 to deliver a centralized orchestration solution to manage app services across distributed environments.
By Paul Trulove
Multicloud data replication takes a village
Secure and scale multicloud data replication for AI. Learn how F5 and Equinix enable policy-driven connectivity, governance, and seamless network control.
By Lori Mac Vittie
Secrets to scaling AI-ready, secure SaaS
Learn how secure SaaS scales with application delivery, security, observability, and XOps.
By Mani GaddeOptimizing AI pipelines by removing bottlenecks in modern workloads
As AI workloads scale, organizations are discovering slowdowns that come from the upstream data pipeline that feeds the AI model. Here's how F5 BIG-IP can help.
By Hunter Smit
Why SASE and ADSP are complementary platforms
SASE secures the hybrid workforce and ADSP secures the hybrid application estate. Learn how these converged platforms differ and why they complement each other.
By John Maddison
New 7.0 release of F5 Distributed Cloud Services accelerates F5 ADSP adoption
Our recent 7.0 release is both a major step and strategic milestone in our journey to deliver the connectivity, security, and observability fabric that our customers need.
By Derek Yee
Stay ahead of API security risks with our latest F5 Distributed Cloud Services release
This release brings exciting, new API discovery options, expanded testing scenarios, and enhanced detection capabilities—all geared toward reducing API security risks while improving overall visibilit...
By Ian Dinno