Omnissa Debuts Elara Authority Layer for Enterprise AI Governance

Omnissa introduced Omnissa Elara on September 29, 2026, at its Omnissa ONE 2026 event in Orlando, Florida, describing the product as a new authority layer for AI governance and high-impact enterprise actions. Elara is launching in beta.

Omnissa said Elara connects signals across systems that often operate independently, so IT and security leaders can see how AI apps, models and agents are being used across their environment and apply policies and controls based on broader business context. The company said many existing tools can authorize actions only within the systems they manage, while Elara is designed to sit above them, connecting the systems customers already run and adding context without requiring standardization on a single technology stack. Elara brings together signals across people, identities, devices, apps and AI (including agents, models and other tools) and correlates them with an organization’s policy and permission structure to determine what actions are allowed to occur before they happen.

Omnissa said its research found unsanctioned AI tools present on 75% of enterprise-managed devices. The company also said its State of the Digital Workspace report found that AI assistant usage across enterprise endpoints increased nearly 1,000% year over year, with three-quarters of that usage coming from unsanctioned tools.

“Enterprises are trying to enable AI without losing control of what is happening across their environments,” said Brian Link, product lead for Elara. He said the task gets harder when every system has its own limited view, and that by bringing signals together Elara gives IT the context to apply the right guardrails and make better-informed decisions about what should happen next.

What the Beta Includes

The announcement lists four capabilities customers will have access to in the beta. The first is shadow AI detection: organizations can discover AI apps, LLM models, agents and other tools operating across the enterprise, including technology that falls outside approved policies or standard application inventories. The Omnissa Elara product page says discovery extends to MCP servers and tools in use across managed endpoints, and that what Elara finds can then be sanctioned, restricted or monitored through the systems a customer already runs.

The second capability is AI usage guardrails delivered through the Omnissa AI Gateway, which governs how users, apps and agents access AI models. Omnissa said Elara can authorize model access, apply usage guardrails and meter token consumption across providers, which the company said lets organizations manage AI use without locking into a single model ecosystem. According to the product page, the gateway sits between users, apps and agents and the models and tools they call: it authenticates the requester, authorizes what they can use, applies data and prompt guardrails, meters consumption and routes each request to the right destination.

The third capability, Change Management, brings change control across enterprise systems to a centralized, policy-governed action plane. Elara evaluates changes against conflicts, freezes and dependencies before they run, then either clears the action, bounds it or routes it to the approver who holds the authority. The fourth capability captures audit-ready evidence: Elara records the full decision chain in real time, including what happened, who authorized it and what it touched, to maintain a replayable record.

Operating Model and Data Handling

The product page describes an operating model of four steps: Connect, Correlate, Decide, and Act and prove. Connectors extend Elara to Workspace ONE, Horizon and a customer’s identity, security and ITSM tools, with custom connectors covering other systems. An entity graph maps how people, devices, apps, identities and AI agents relate to one another, and Elara evaluates high-impact actions against that context: what is acting, whether it should be allowed at that moment, what it could affect and who has the authority to approve it. Where Elara holds an enforcement point it intervenes directly; elsewhere it advises, routes or remediates, with the decision recorded and replayable either way.

The product is organized around four stated challenges: shadow AI, ungoverned agents, risky change and audit reconstruction. On data collection, Omnissa states that Elara works from the operational context that connected systems already produce, including identities, device and app posture, events, policy and approvals, rather than the content of an employee’s work. Omnissa says data handling and retention detail will be published alongside the product datasheet.

Analyst Comment and Beta Availability

Adam Holtby, principal analyst at Omdia, said in the announcement that governance becomes a necessity as agentic AI moves from assisting employees to taking actions across business systems. He said organizations need to understand which AI tools and agents are being used as well as the identities, devices, applications and data those tools access, the actions they are permitted to take and what happens when something goes wrong.

In a separate release covering Omnissa’s broader Omnissa ONE 2026 announcements, Phil Hochmuth, research vice president for endpoint management and enterprise mobility at IDC, said, “IT leaders need clear visibility into human and AI-driven activity, along with the controls to govern actions at machine speed.” Omnissa chief product officer Bharath Rangarajan said in the same release that AI is bringing insight and action closer together and changing what IT has to be ready for, and that organizations need a unified foundation of visibility and control to build trust as AI becomes part of the digital workplace. Omnissa also said its platform processes approximately 50 TB of endpoint data each day and supports 150 million workflow executions per month across tens of millions of endpoints.

Elara is available in beta, and Omnissa is directing customers to a product demo and a beta waitlist on the Elara page.