CloudShare Q3 2026 Release Introduces AI Agents, Team-Based Technical Training, and Deeper Platform Personalization
CloudShare, a virtual IT labs and hands-on training platform, today announced its Q3 2026 product release, introducing new AI agents for creating technical training and sales demo environments, team-based experiences for cyber and adversarial training, and expanded enterprise customization capabilities. The release also adds visual guidance for virtual instructors, multi-language support, reusable training content, script-based learner validation, and new integrations with AI assistants through Model Context Protocol (MCP).
Whether customers need a five-minute demo or a full multi-VM build, CloudShare is designed to meet them where they are. This quarter, that means smarter AI agents that set up sophisticated virtual environments in seconds, a platform that flexes to how customers already work, and training experiences built for real, team-based exercises.
The Q3 release spans three areas: AI Learning & Automation, Enterprise Customization & Platform Personalization, and Team-Based Experiences.
“This release reflects where we believe enterprise enablement is headed: away from static content and toward intelligent, interactive experiences,” said Ben Jubenville, CEO of CloudShare. “Whether it’s an AI agent creating a demo environment in seconds, a Red Team and Blue Team operating together in an isolated simulation, or a globally accessible platform connecting to the tools customers already use, we’re making it dramatically easier to turn knowledge into experience. Across customer education, sales, product, and partner enablement, CloudShare is helping organizations move from simply teaching people what to do to giving them the environment to actually do it.”
AI-Powered Virtual Labs and Automation
- Sales Experience Creation Agent gives sales and solutions engineering teams a conversational way to create virtual POC, product demo, POV, or trial environments simply by describing what they need.
- Training/Custom Environment Creation Agent lets instructors and administrators build a fully custom virtual IT lab environment without starting from an existing blueprint or working through a configuration wizard.
- Virtual Instructor – Visual Guidance allows content authors to embed on-demand visual cues directly into lab instructions. A single click highlights the exact UI element on a participant’s screen, like an instructor pointing at the screen in real time with no changes required to existing labs.
- CloudShare MCP Server brings CloudShare’s virtual IT lab platform into external AI assistants, IDEs, and automation workflows via the open Model Context Protocol standard. This gives customers local control over environments, blueprints, and users without building custom API integrations. They can even manage and edit virtual machines while they are running.
Enterprise Customization & Platform Personalization
- Guided Journey Repository lets customers save and load Guided Journeys from a shared, project-level repository, eliminating redundant rebuild work and giving teams a single source of truth for reusable training content.
- Multi-Language Support allows participants and instructors to work in CloudShare in their preferred language, with browser-based auto-detection and a manual selector across the Participant Viewer and Instructor Console. The platform now supports nine languages, including newly added Brazilian Portuguese, Russian, and Italian.
- Custom Amazon Machine Images lets customers running AWS-based labs capture a live virtual machine’s current state and reuse it as the foundation for future environments, directly within the platform to ensure that every learner or demo participant starts from a clean, consistent baseline.
- API Productization unifies CloudShare’s API structure around a new RESTful V4 scheme and introduces new simplified documentation, starting with the endpoints customers rely on most.
- New Platform Navigation introduces a redesigned left-hand navigation, making it faster for administrators and instructors to move across environments, content, and account settings.
- Script Validation Checkpoints let content authors define precise, script-based checks that validate participant progress directly inside the VM, going beyond what visual AI can detect, and giving instructors real-time, per-participant visibility into check results.
Team-based Experiences
- Team-based Experiences give instructors the ability to split a class into two competing teams, each with its own isolated blueprint and resources, for red-vs-blue cyber exercises and other adversarial training. Teams interact only through a network bridge, giving participants real cross-team engagement without ever exposing the other side’s machines directly.
The Q3 release makes hands-on experiences easier to create, scale, and adapt to the way modern teams work. AI agents reduce the effort required to build sophisticated environments, while reusable content, deeper customization, and expanded integrations give organizations more flexibility in how they deliver and manage those experiences. And with team-based training, visual guidance, and more precise learner validation, participants get more opportunities to learn by doing in environments that reflect the complexity of real-world work.
CloudShare is continuing to remove the friction between knowing and doing, giving organizations the infrastructure, intelligence, and flexibility to turn hands-on experience into product mastery.
See how the new features in action during our webinar on September 30, or contact our team for a personalized demo.
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