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Omnissa

Discover which solution is best for you: VDI, DaaS, or RDSH From on-prem to cloud: how Horizon licensing adapts to you Inside the Forrester TEI findings: Workspace ONE UEM delivered 170% ROI As security continues to evolve, has your mobile strategy? Introducing automated enrollment for Horizon Cloud desktops with Workspace ONE UEM Omnissa and GEMA partner to empower organizations with a modern digital sovereignty solution Attention Omnissa Intelligence users: Show off your dashboard! How P&O Cruises and Cunard manage devices & IT support at sea Omnissa Solution Exchange: Discover additional ways to maximize your Omnissa investments Horizon Cloud on vSphere: Hybrid DaaS made easy 10 challenges that hold back Horizon success Omnissa named a Leader in the 2025 Gartner® Magic Quadrant™ for Desktop as a Service Omnissa scores highest in 4 out of 4 Use Cases in 2026 Gartner® Critical Capabilities for Endpoint Management Tools Enabling the Modern Workforce with Omnissa Workspace ONE and Samsung Knox Suite Point of view: The autonomous workspace will reshape the role of enterprise IT Introducing Workspace ONE UEM 2602: A feature packed release with updates across the board Why security fundamentals matter more than ever Android XR Management with Workspace ONE What's new with DEX for Horizon: expanding partner ecosystems and integrations Customer adoption grows for Omnissa Horizon deployments on Nutanix AHV Optimize secure, seamless workspaces with IGEL and Omnissa Omnissa Secure Access Suite delivers secure browser functionality with the Omnissa platform ICYMI: Highlights from our “App Management Reimagined” event Omnissa Pass: Native MFA for stronger, simpler security Modern education—any device, everywhere learning with smarter IT DEX is a value strategy: How Omnissa helps turn IT from cost center to value engine From fragmentation to fruition: Why a platform approach wins Mod Stack architecture: Rebuilding for flexibility, scalability, and resilience New Omnissa 2026 study finds shadow AI, security gaps, and device instability expose need for end-to-end IT observability Omnissa accelerates global market momentum with strategic board expansion and executive leadership appointment
The Omnissa approach to responsible AI and maintaining trust
Mitch Berk · 2026-03-13 · via Omnissa

March 26, 2025

  • Mitch Berk

    Senior Director

    Mitch Berk is the Senior Director, Product Management for Common Platform Services, at Omnissa. He is responsible for the strategy and delivery of the common platform that powers Workspace ONE and Horizon, including Data Science (AI & ML), Omni, Intelligence data service, Freestyle Orchestration service, and Omnissa Identity Service. He is also responsible for the Omnissa strategy for Frontline solutions and has a deep passion from Frontline customers in Retail, Transportation, Hospitality, and Healthcare. Mitch has over 15 years of leadership experience in Enterprise Mobility and over two decades of experience in enterprise software.

    Read More From the Author

In January, I wrote about our strategy for leveraging AI to deliver on our Autonomous Workspace vision. As we embrace the transformative capabilities of AI, it is our duty to maintain a responsible approach to its use. The Omnissa approach is centered on earning and maintaining the trust of our customers and partners; and founded on governance, transparency, and data privacy and security.

Governance

Governance is important for ensuring that AI systems are responsible, transparent, and fair. Which is why Omnissa formed an AI Council to promote, review, and monitor the use of AI throughout our products and services, as well as our operations. The council is comprised of members of Product Management, Security, Compliance, Legal, Privacy, and Data Science, and includes representatives from each major business function. The group governs the use of AI throughout Omnissa and conducts a formal review of AI powered capabilities whether in our products, services, or for internal use to ensure that these capabilities are in alignment with our established Responsible AI Policy. The AI Council, its policies, and processes are based on the NIST AI Risk Management Framework. This council and governance framework ensure that our AI powered features and services live up to our commitment to responsible AI and helps maintain trust.

Transparency

To maintain the trust of our customers and partners we are committed to being clear and forthcoming with how and where AI is used; whether in our products and services, how we are helping to ensure AI is safe, or how our customers’ data is managed. This transparency begins with the Omnissa AI Privacy Data Sheet, which summarizes our approach to responsible AI, enumerates where we use AI in our products and how this impacts our customers’ data, and enables you to subscribe to notification of updates. 

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We also introduced AI nutrition labels to provide detailed transparency into each AI-powered capability or service within our products. Our AI nutrition labels are designed to provide easily digestible answers to common questions regarding our use of AI, including what form of AI is being used, what models we leverage, whether and how we train our models, the guardrails we enforce, data privacy, data sovereignty, and data retention. These Nutrition Labels are meant to help customers decide whether to enable or disable each AI powered feature and service and are a demonstration of our commitment to transparency and a responsible approach to AI.

Data privacy and security

Omnissa provides secure digital workspaces to some of the largest and most secure organizations in the world and we take our responsibility to maintain the privacy and security of their data very seriously. This responsibility extends to our use of AI. Our use of customer data in our AI powered features and services must adhere to all our data privacy and security, data sovereignty, and data retention policies and commitments. In addition, the Omnissa AI Council has established policies to restrict the exposure of customer data to third-party models, forbid the use of customer data in training third-party models, and forbids the use of non-anonymized customer data for training and testing Omnissa models. These policies guide the design of our AI driven features and services and are a focal point of our AI Council reviews. These efforts demonstrate our commitment to maintaining the privacy and security of our customer data.

Ongoing commitment

I have highlighted just a few key processes and policies that exemplify our commitment to responsible AI. But our commitment is ongoing. We will continue to provide examples and updates to ensure our customers have access to the tremendous insights and efficiency gains unlocked by AI, all while keeping governance, transparency, data privacy and security in the forefront. 

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