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346 results found
Hands-On Lab Workshop: Model Context Protocol (MCP) Foundations Lab
Join us for a hands-on exploration of the Model Context Protocol (MCP), an open-source standard quickly gaining momentum in the world of AI. Whether you are a developer, engineer, or someone curious about how AI systems connect to real tools and data, this lab will walk you through the core concepts of MCP and give you practical skills to build, run, and connect your own MCP servers. This is a fundamentals-level lab focused on giving you a solid, practical understanding of how MCP works and why it is becoming the universal protocol for AI agent tool use — often described as the USB standard of the AI world.
Webinar
•Jun 11, 2026 • 11am
Claude Mythos and the Remediation Velocity Gap
WWT's agentic patching and remediation approach leverages agentic AI and deterministic automation to bridge the gap between vulnerability discovery and defense. As AI accelerates exploit development, this governed model ensures safe, efficient remediation, urging enterprises to adapt and maintain control in an evolving threat landscape.
Blog
•May 15, 2026
IBM Think 2026: AI and Quantum Are Converging Infrastructure
From Arvind Krishna's CEO AMA to the quantum keynote and a packed Partner Day, IBM Think 2026 made a clear case that enterprise computing is entering a structural shift.
News
•May 13, 2026
I Built a C2 Channel in 5 Minutes. Your Security Team Had No Idea.
A covert AI agent experiment reveals a new threat class, exploiting trusted SaaS APIs like Slack for command-and-control without detection. As autonomous agents become standard, enterprises must adopt proactive security measures. WWT's AI Gateway and Governance Framework offers a structured approach to mitigate these emerging risks.
Blog
•May 11, 2026
NVIDIA GPU Operator for Kubernetes
This is a learning path for the introduction of the deployment and lifecycle of AI infrastructure. Explore the NVIDIA GPU Operator, a Kubernetes-native tool that automates driver installation, container runtimes, and device plugins. Perfect for DevOps engineers aiming to streamline high-performance, GPU-accelerated clusters at scale.
Learning Path
•Introductory
Building Nova, WWT's AI-powered digital human
WWT Senior Software Engineer Joshua Coffman walks through how Nova was built — from ASR and LLMs to RAG, TTS and real-time rendering — all running on a single workstation, offline capable.
Video
•2:24
•May 6, 2026
Nova in Action: WWT's Digital Human
See Nova in action as it engages in real-time conversation and explains complex topics in plain language.
Video
•1:29
•May 6, 2026
Cisco Secure AI Factory with NVIDIA: Infrastructure Operations
In this learning path, we explore the software based orechestration and management of the Cisco Secure AI Factory data center. We explore Cisco Intersight, a SaaS-baased management platform, which allows a data center engineer to orchestrate and automate physical and virtual infrastructure. We also have a lab around the Cisco Nexus Dashboard Fabric Controller.
Learning Path
•Introductory
When AI is the Attack Surface: Check Point's AI Defense Plane tackles Risks
AI's rapid adoption in enterprises creates new security challenges, with 29% of organizations facing attacks on generative AI by 2025. Check Point's AI Defense Plane offers a unified security architecture to address workforce AI, agentic AI and AI application vulnerabilities, ensuring visibility, policy enforcement and protection against adversarial threats.
Blog
•May 4, 2026
AI-powered multi-domain intelligence analysis for mission teams
WWT's MultiINT Toolkit automatically routes analyst requests across signals intelligence SIGINT, geospatial intelligence GEOINT and other data sources beyond, delivering a fused operational picture in moments. Every conclusion is tied to its original data source, giving mission owners a clear, auditable trail from raw data to decision.
Video
•2:16
•Apr 29, 2026
Breaking Data Silos: How Private Inference Unlocks GPU ROI on Sensitive Data
Private inference applies Protopia AI's Stained Glass Transform (SGT) to convert sensitive prompts into stochastic embeddings inside the data owner's root of trust, enabling NVIDIA Triton, NIM, and vLLM deployments to process regulated data without exposing plaintext. Aligned with WWT's ARMOR framework, this architecture strengthens data protection, model security, and multi-tenant GPU infrastructure ROI.
Blog
•Apr 28, 2026
A Guide for CTOs to Get Started with Enterprise AI
This report gives CTOs a decision-making framework to build AI programs that are sequenced around business outcomes, governed before they scale and staffed for production.
WWT Research
•Apr 23, 2026