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Data Center Priorities for 2025
A roadmap for what to prioritize in the data center space.
Secure Your Future: A CISO's Guide to AI
A step-by-step guide to unlocking the power of AI while protecting critical data and navigating the complex regulatory landscape.
Hands-On Lab Workshop: LLM Security
In this event, you will gain the knowledge and tools to identify, mitigate, and prevent security risks, strengthening the reliability and security of your AI systems. WWT's Prompt Injection and Training Data Poisoning labs help users understand and defend against two major LLM security threats. The Prompt Injection Lab demonstrates how attackers manipulate LLMs with deceptive inputs to extract sensitive data or execute unintended actions, while the Training Data Poisoning Lab explores how corrupting training or retrieval data can introduce biases , vulnerabilities, or backdoors.
Security Priorities for 2025
In this report, our security experts outline four key areas to focus on in 2025
Securing AI Transformation with WWT's Jim Kavanaugh and Cisco's Jeetu Patel
As AI adoption accelerates across industries, businesses face unprecedented challenges in securing their AI-driven transformations. In this exclusive fireside chat, Cisco EVP and Chief Product Officer Jeetu Patel and WWT Co-founder and CEO Jim Kavanaugh discuss the latest breakthroughs in AI security and how enterprises can more confidently innovate while safeguarding their AI applications.
Jeetu and Jim will also explore the global landscape and its impact on the future of enterprise AI; provide practical guidance on how to craft an AI strategy that balances the need for speed with the necessity of caution; and talk about emerging AI solutions and how they can integrate into your IT strategy.
What's new
AI's Next Leap: Insights from NVIDIA GTC 2025
Bonus episode! Jensen Huang's keynote at NVIDIA GTC 2025 reinforced that we are entering a new phase of AI-driven enterprise transformation — signaling a shift from AI as a supporting tool to AI as a decision-making and autonomous agent. In this special episode of the AI Proving Ground Podcast, we get quick-hit reaction from WWT experts on the ground at NVIDIA GTC 2025 — from new product announcements and its impact on the enterprise to innovative technology showcased on the floor and discussions behind the scenes.
The Grizzled CyberVet: How Palo Alto Networks Powers End-to-End Cyber Defense
Fragmented security solutions create inefficiencies and vulnerabilities. This article explores how Palo Alto Networks' integrated platform addresses these gaps, breaking the cybersecurity kill chain at every stage. By consolidating security functions, organizations enhance threat prevention, streamline operations and reduce costs. Learn how a unified approach strengthens defenses and why proactive security is essential for business resilience.
Hands-On Lab Workshop: LLM Security
In this event, you will gain the knowledge and tools to identify, mitigate, and prevent security risks, strengthening the reliability and security of your AI systems. WWT's Prompt Injection and Training Data Poisoning labs help users understand and defend against two major LLM security threats. The Prompt Injection Lab demonstrates how attackers manipulate LLMs with deceptive inputs to extract sensitive data or execute unintended actions, while the Training Data Poisoning Lab explores how corrupting training or retrieval data can introduce biases , vulnerabilities, or backdoors.
Securing AI Transformation with WWT's Jim Kavanaugh and Cisco's Jeetu Patel
As AI adoption accelerates across industries, businesses face unprecedented challenges in securing their AI-driven transformations. In this exclusive fireside chat, Cisco EVP and Chief Product Officer Jeetu Patel and WWT Co-founder and CEO Jim Kavanaugh discuss the latest breakthroughs in AI security and how enterprises can more confidently innovate while safeguarding their AI applications.
Jeetu and Jim will also explore the global landscape and its impact on the future of enterprise AI; provide practical guidance on how to craft an AI strategy that balances the need for speed with the necessity of caution; and talk about emerging AI solutions and how they can integrate into your IT strategy.
Retrieval Augmented Generation (RAG) Security
RAG, or Retrieval-Augmented Generation, is an AI solution that has gained popularity due to its ability to combine generative AI with external data sources to provide more accurate and up-to-date responses. However, these new abilities don't come without risk. In this learning path, you will gain a fundamental understanding of RAG security. Through a series of videos, you will explore topics such as RAG security risks, vector database security risks, and the best practices that can be used to help remediate some of these risks. Finally, you will take a look at all of it put together in the hands-on Training Data Poisoning lab.
Hour of Cyber: API/AI Security
As organizations increasingly rely on APIs and AI to drive digital transformation, securing these technologies is essential. This session delves into the critical aspects of API and AI security, focusing on strategies to protect against cyber threats while ensuring high availability and performance. Explore the challenges of defending AI systems, leveraging AI for enhanced cybersecurity operations, and securing the development and deployment of AI models
Partner POV | CrowdStrike Leads Agentic AI Innovation in Cybersecurity
CrowdStrike's latest AI innovation autonomously triages endpoint detections, saving customers more than 40 hours of manual work per week on average.
Partner POV | How to Recognize AI Attacks and Strategies for Securing Your AI Applications
As AI transforms a business's operations, understanding and defending against these threats isn't optional; it's essential.
Harnessing Artificial Intelligence in Network Detection and Response
AI-driven network detection and response (NDR) is transforming cybersecurity by improving threat detection, accelerating response times and reducing the burden on security teams. This article explores how AI enhances visibility, automates mitigation and strengthens compliance, helping organizations stay ahead of evolving cyber threats.
Deploying and Securing Multi-Cloud and Edge Generative AI Workloads with F5 Distributed Cloud
In the current AI market, the demand for scalable and secure deployments is increasing. Public cloud providers (AWS, Google, and Microsoft) are competing to provide GenAI infrastructure, driving the need for multi-cloud and hybrid cloud deployments.
However, distributed deployments come with challenges, including:
Complexity in managing multi-cloud environments.
Lack of unified visibility across clouds.
Inconsistent security and policy enforcement.
F5 Distributed Cloud provides a solution by offering a seamless, secure, and portable environment for GenAI workloads across clouds. This lab will guide you through setting up and securing GenAI applications with F5 Distributed Cloud on AWS EKS and GCP GKE.
The Grizzled CyberVet: State of Network Security
Network security has evolved rapidly, with the field now embracing zero trust, AI-driven defenses and integrated platforms. The next five years will see AI, SASE and quantum-resistant cryptography reshape the landscape. Enterprises must consolidate tools, adopt AI automation and prioritize identity-first security to stay ahead of increasingly sophisticated cyber threats. Secure your future now.
Trustworthy and Responsible AI at the Global Scale
A WWT Research Report on developing a global framework for the adoption of safe, trustworthy and responsible generative AI (GenAI).
Safety First: Leading Partners Adopt NVIDIA Cybersecurity AI to Safeguard Critical Infrastructure
Platform integrating NVIDIA BlueField and Morpheus powers next-generation cyber defenses from Armis, Check Point Software Technologies, CrowdStrike, Deloitte and WWT.
Deepfake Deception: Can You Trust What You See and Hear?
Deepfakes are getting smarter — is your security strategy keeping up? On this episode of The AI Proving Ground Podcast, cybersecurity veterans Kent Noyes and Chris Roberts expose the latest deepfake tactics used by cybercriminals, discuss real-world attacks that have cost companies millions, and share strategies for staying ahead of this AI-driven threat. They'll also unpack the regulatory landscape and the broader geopolitical stakes at play.
F5 Is Returning To Its 'Roots' As It Develops The ADC For The AI Era
Longtime F5 partner WWT's Infrastructure and Security teams are actively integrating F5 into its AI go-to-market reference architectures that the company has built alongside its other key AI infrastructure partners.
Concept Paper: Trustworthy and Responsible AI for Malaysia and the ASEAN Region
A concept paper from World Wide Technology (February 2025).
Deep Instinct Data Security X (DSX) for NAS
Deep Instinct provides several solutions powered by deep learning to quickly identify potential attacks. This lab will demonstrate the capabilities of their DSX for NAS - NetApp solution, which can scan files in milliseconds anytime they enter the network or are edited. Files are scanned within the network environment, ensuring full data privacy, confidentiality, and compliance. Files that are found to be malicious can be either deleted or quarantined. Deep Instinct works with both network attached storages and cloud storages.
The Cyber Window Episode 10: *SPM
In this episode of The Cyber Window, WWT Global Application Security Architect Matt Rose discusses the explosion in Security Posture Management solutions. What they are intended to do and how they relate to each other
Partner POV | Understanding and Leveraging the Role of Platformization in AI-First Cybersecurity
The convergence of cybersecurity and AI is reshaping defenses and attacks alike. Platformization, integrating multiple tools into a unified system, offers a solution to manage complexity and enhance security. Palo Alto Networks' Precision AI exemplifies this approach, providing robust, automated, and contextually aware cybersecurity solutions for modern threats.
The Good, the Bad and the Ugly
Trustworthy and responsible AI is not easy. Most stakeholders can't agree on a common definition and likely have different priorities even when they do agree. However, the most pressing concern is that a majority of stakeholders, sectors and geographies do NOT have a handle on what it means to build and operate systems that won't harm humans.