Security Insights
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AI Security
In this learning path you will gain a fundamental understanding of AI security by exploring topics such as the AI development lifecycle, data flow during this lifecycle, as well as attack surfaces present in the AI development lifecycle. You will also learn about topics such as the attacks that AI models face and the risks of user data and privacy when it comes to AI.
AI Essentials
Welcome to the AI Essentials Learning Series. This series is designed to equip you with the knowledge and skills necessary to understand key aspects of Artificial Intelligence (AI). As AI continues to revolutionize industries and transform the way we live and work, it is crucial to understand the fundamental components that enable its remarkable performance. This series of learning paths will provide you with a comprehensive overview of AI, High Performance Storage, High Performance Networking, High Performance Compute, and Security, all tailored to the specific needs of AI applications.
LLM Security
In this learning path, you will gain a fundamental understanding of Large Language Model (LLM) security. Through a series of articles and videos you will explore topics like what is an LLM, data security risks, the OWASP Top 10 for LLMs, strategies for defending LLM systems, and the critical role users play in maintaining security.
Security Priorities for 2025
In this report, our security experts outline four key areas to focus on in 2025
Data Center Priorities for 2025
A roadmap for what to prioritize in the data center space.
Key Trends for Media, Gaming and Entertainment
This article aims to inform, inspire and guide the MEG industry on how to leverage the latest technologies to create immersive experiences, achieve business outcomes and stay ahead of the competition.
Adopt a Hacker Mentality to Stay Ahead of the Cyber Curve | Experts
Today's threat landscape is broader than ever and cyberattacks are growing in volume and sophistication each and every day. In fact, hackers are launching new assaults at a clip of greater than one every minute of the day. Yet an alarming number of business leaders feel ill-prepared in the event a cyberattack hits their company. How can this be given the stakes involved?
Join WWT Cyber Range Architect Brett Turner as he discusses what cyber threats pose the greatest risks to organizations this year and how companies can best address the expanding talent gap taking place in the cyber industry. Brett also talks about what it takes to become an ethical hacker and why dynamic, live-fire cyber exercises called Cyber Ranges could be your best bet to standing up to cyber criminals moving forward.
Building for Success: A CTO's Guide to Generative AI
A strategic roadmap for Chief Technology Officers to align GenAI strategies with business goals, assess infrastructure needs, and identify the talent and skills needed to achieve sustainable GenAI transformation.
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.
Zscaler Zero Trust Lab
Zscaler is responsible for securing more than 400 of the Forbes Global 2000 companies. They provide security as a service delivered through a purpose-built, globally distributed platform. The focus of this lab is zero trust access utilizing a solution known as Zscaler Private Access (ZPA). ZPA is a cloud service that provides seamless, zero trust access to private applications running on public cloud or within the data center. With ZPA, applications don't need to be exposed to the internet, making them completely invisible to unauthorized users. This service enables the applications to connect to users via inside-out connectivity versus extending the network to them. It disrupts legacy approaches to remote access such as traditional VPN, establishing per-service dynamic encryption and trust evaluation.
Networking Priorities for 2025
An actionable roadmap for focusing your networking initiatives.
Cisco launches AI Defense to secure AI application use
AI Defense is designed to address two primary security concerns: the secure development and deployment of AI applications, and the secure access to AI applications.