What happened
Omnissa introduced Omnissa Elara, a new solution launching in beta that serves as an authority layer for . The tool connects signals across people, systems, and AI to allow IT leaders to apply policies and controls to AI-driven and IT-delivered changes before they occur.
Omnissa, formerly the End User Computing business of VMware, announced the introduction of Omnissa Elara at the Omnissa ONE 2026 event. The product is currently available in beta and is designed to function as an authority layer for governing digital work, specifically focusing on AI-driven actions.
The solution is built to operate across both Omnissa and third-party environments. It connects signals from various independent systems, including identities, devices, applications, and AI tools such as agents and models. By correlating these signals with an organization’s existing policy and permission structure, Elara determines which actions are allowed to occur before they are executed.
Omnissa cited internal research indicating that unsanctioned AI tools were present on 75% of enterprise-managed devices. This statistic highlights the challenge of employees adopting AI tools outside of approved IT processes, a gap that Elara aims to address by providing broader context and control.
The product is positioned to sit above existing authorization tools, which are often limited to managing actions within their specific systems. Elara does not require organizations to standardize on a single technology stack but instead integrates with the systems customers already run to provide a unified governance framework.
Source details: cybersecurity-insiders.com ↗
Why it matters
As enterprises adopt AI agents that can act autonomously, traditional siloed security tools often lack the context to govern these actions effectively. Elara addresses this by correlating signals from identities, devices, and AI tools with organizational policy structures. This provides a unified view of what actions are permitted, helping organizations maintain control over high-impact AI activities without requiring a single technology stack.
The rise of agentic AI, where tools move from assisting employees to taking actions across business systems, has created a significant governance challenge for CIOs and CISOs. Traditional security measures often struggle to keep pace with machine-speed automated actions that extend beyond traditional IT boundaries.
Elara provides a practical mechanism for enterprises to enable AI innovation without losing control. By offering visibility into which AI tools are being used, what data they access, and what actions they are permitted to take, it helps organizations manage the risks associated with autonomous AI behavior.
The tool addresses the fragmentation of enterprise security by connecting siloed control points into a cohesive governance model. This is particularly relevant as AI becomes more embedded in business workflows, requiring a more nuanced approach to policy enforcement than simple access controls.
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crm_get_transaction(id='4092').An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?
What to watch next
Monitor the transition of Elara from beta to general availability, including specific pricing models and integration capabilities with third-party AI platforms. Also watch for independent security assessments that verify whether the tool effectively prevents unauthorized AI actions in real-world enterprise environments.
The current beta status means that full-scale enterprise deployment and long-term reliability are not yet established. Organizations should monitor for updates on the general availability timeline and any changes in sets or pricing.
Independent verification of Elara’s effectiveness in preventing unauthorized AI actions is currently limited to vendor claims and analyst commentary. Third-party security audits or case studies from early adopters will be crucial for validating its practical impact.
The integration capabilities with specific third-party AI platforms and legacy systems will determine how easily enterprises can adopt the tool without significant infrastructure changes.