Secure Access Service Edge (SASE), coined by Gartner in 2019, is a solution that blends networking and security into cloud scale architecture that optimizes end user performance and improves security for an organization. With the Zscaler and SD-WAN integration, you can rapidly gain access to cloud-delivered security in minutes. This market leading API automation makes it very fast and agile to deploy and manage the network and security environment of hundreds or even thousands of remote sites.

Learn how to use Terraform to build and manage AWS infrastructure through code.

WWT's ATC CrowdStrike and Zscaler Integrated lab exists to showcase the integration between CrowdStrike's Falcon Platform, Zscaler Private Access and Zscaler Client Connector through relevant use cases.

Explore the essential features of CyberArk Privileged Access Security (PAS) in this lab, showcasing its capabilities in managing and auditing privileged accounts across Windows and Linux environments. Discover how CyberArk PAS enhances security through automated password management and secure session monitoring.

Learn how to use Terraform to build and manage Azure infrastructure through code.

Welcome to WWT's F5 Terraform Automation Lab. The intended goal of this lab is to introduce and enable F5 administrators to utilize Terraform to automate, simplify and streamline the deployment of F5 services.

This lab exists to provide hands-on experience with the integration between ZIA, CrowdStrike Falcon, and Okta through relevant use cases. First, this lab can be used to see how the integration between CrowdStrike Falcon and ZIA can ensure administrators have end-to-end insight into the threat landscape to minimize attack surface and deliver rapid threat detection and response. On top of this, the lab allows users to see how Okta can integrate with both CrowdStrike and Zscaler to strengthen a company's Zero Trust profile, enhance threat detection during authentication and monitor the intersection of security and access management.

This lab, offfers a hands-on environment where participants will implement a unified DNS and IPAM architecture across hybrid and multi‑cloud environments. Using Infoblox Universal DDI as a central control plane, the lab guides users through synchronizing DNS and IP configurations across AWS & Azure cloud infrastructures.

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.

Several of the fundamental principles of F5 Distributed Cloud (XC) are highlighted in this lab environment. You will be simulating a customer during the lab who needs to verify the safety of an application. The objective is to verify the applications safety of on-premises or application on cloud before and after enabling F5 Distributed Cloud Console WAAP Capabilities by sending attacks to the application.

Application programming interfaces expose access to the system from other systems. Understanding how to utilize the API unlocks endless possibilities in your automation journey.

This WWT Lab will provide a hand on experience of F5 Distributed Cloud WAF deployed on Regional Edge in deployment mode. This deployment mode is better suited when protecting backend applications which are already public accessible from the internet via FQDN or Public IP. F5 Distributed Cloud WAF is deployed on the Regional Edges, where the services are being advertised to the internet through anycast IPs. The end users will connect to their closest Regional Edge and the traffic will be inspected by the WAF security policy. The traffic will then be forwarded across the XC Global Network towards an egress Regional Edge and then towards the customer site as regular internet traffic. The customer will filter the traffic, only allowing traffic forwarded by the XC platform.