Omnissa has introduced Elara, an AI governance solution, alongside new AI agents and cloud workspace capabilities designed to automate IT operations and strengthen oversight of enterprise AI activity.
The announcements could create opportunities for managed service providers (MSPs) to expand their offerings into AI governance, endpoint security, and automated IT management.
Omnissa Elara targets shadow AI and agent governance
First, the organization introduced Omnissa Elara, a new solution that enables IT teams to anticipate and guide AI actions before consequences.
Elara gives IT and security teams greater context on how their digital work tools, including AI apps, models, and agents, are used across their environment, enabling them to apply policies and controls informed by broader business context.
“Elara, which is now in beta, gives our partners an opportunity to address a challenge that is quickly becoming a priority for enterprises: understanding and governing the AI applications, models, and agents showing up across their organizations,” Renu Upadhyay, chief marketing officer (CMO) at Omnissa, told Channel Insider.
Elara gives customers access to the following capabilities:
- Shadow AI detection: Organizations can discover AI apps, LLM models, agents, and other tools operating across the enterprise, including technology outside approved policies or standard application inventories, giving IT and security teams visibility into how AI is being adopted and where additional controls may be needed.
- Setting AI usage guardrails: Elara features the Omnissa AI Gateway and governs how users, apps, and agents access AI models. Elara can authorize model access, apply usage guardrails, and meter token consumption across providers to help manage AI use without locking into a single model ecosystem.
- Change control for high-impact actions: Change Management capabilities bring change control across enterprise systems to a centralized, policy-governed action plane. Elara evaluates changes against conflicts, freezes, and dependencies before they run. Elara can clear the action, bind it, or route it to the approver with the right enterprise context.
- Capture audit-ready evidence: It records the full decision chain in real time, including what happened, who authorized it, and what it touched, to maintain a clear, replayable record.
Cloud PC and Horizon Delegate expand AI-ready workspaces
Omnissa also announced new tooling to expand AI-ready workspaces for people and AI, bring stronger autonomy to IT operations, and introduce new governance capabilities to give organizations greater control over applications, agents, and high-impact digital work actions.
“In a world where agents and people are increasingly working side by side on the endpoint, agentic capabilities become essential,” Upadhyay said. “MSPs now have the chance to move from managing employees’ devices to running secure environments where people and AI agents work. Customers used to ask whether their devices were patched and supported.”
“Increasingly, they’re now asking whether their people can use agents safely, and who will run the controls. That’s a broader, recurring service that helps customers adopt AI while keeping control over what AI can access and do.”
The new capabilities across Cloud PC and Horizon Delegate include:
- Omnissa Cloud PC: A turnkey cloud PC service that includes the underlying compute, along with Omnissa’s industry-leading unified endpoint management, digital employee experience, and Horizon Cloud DaaS services, all operated by Omnissa. This simplifies the delivery of desktops as a service. It will initially run on AWS, with additional hyperscaler options planned.
- Horizon Delegate: A new agent for Horizon virtual desktop users that runs inside their Horizon virtual machines and can perform tasks on the user’s behalf using approved identity and permissions. The delegate agent operates as a co-pilot that can continue working when the user is not actively connected to the virtual session, using the same entitlements, security, and controls as the user within the Horizon environment.
New AI agents automate IT troubleshooting and patching
Omnissa also announced three new agents for IT to help accelerate critical work across the digital workspace:
- Digital Employee Experience (DEX) agent: Provides troubleshooting support for the DEX agent, helping IT investigate an employee experience issue, identify the root cause, and use existing playbooks or prior Workspace ONE Assist session history to recommend a resolution, reducing disruption for employees.
- Workspace ONE Vulnerability Defense agent: Enables IT teams to run the agent to autonomously review and prioritize vulnerabilities, prepare patching actions, and approve deployment, with human-in-the-loop guardrails. DEX visibility helps teams understand how the rollout is progressing and whether users are affected. The agent enables IT teams to patch at AI speed, and scale and stay ahead of growing patch backlogs.
- Windows App Lifecycle agent: Packages and tests an application before presenting the result to an administrator for review, reducing manual efforts and freeing IT teams to focus on more strategic work.
Also announced was the hosted Omnissa MCP Server, allowing administrators to use the agentic tool of their choice to securely interact across the Omnissa platform.
How MSPs can turn AI automation into recurring services
Omnissa’s announcements also highlight an emerging opportunity for MSPs to expand beyond traditional endpoint management into AI governance, security, and oversight.
As AI agents become more embedded in business environments, customers will need help understanding what those tools can access, what actions they can take, and how to keep them operating securely.
“MSPs now have the chance to move from managing employees’ devices to running secure environments where people and AI agents work,” said Upadhyay.
That shift could create new recurring revenue opportunities around AI adoption, policy enforcement, and ongoing monitoring. At the same time, AI-driven troubleshooting and remediation could allow MSPs to support more customers without increasing staffing at the same rate.
However, as automation reduces manual work, providers will also need to demonstrate their value through business outcomes rather than ticket volumes or hours worked.
“Customers aren’t necessarily interested in how many tickets an MSP resolves,” said Upadhyay. “They want fewer disruptions, better employee experiences, and stronger security.”
For MSPs, that means moving toward proactive services that prevent problems before they affect customers, while establishing the policies and boundaries within which AI agents operate.
The opportunity could be particularly significant for smaller MSPs serving SMB customers that lack dedicated security teams. Automation could help these providers deliver more sophisticated services with limited staff while differentiating through security expertise and strategic guidance.
“AI and automation won’t eliminate the need for expertise, but they let smaller providers compete based on the quality of their service, not the size of their business,” Upadhyay said.