Webinar Description
Key Takeaways
- Explores governance frameworks for generative AI usage on unmanaged endpoints
- Addresses security challenges created by BYOD policies and contractor workforces
- Introduces secure enclave architecture as an alternative to device-centric controls
- Relevant to IT security leaders, CISOs, and compliance officers in regulated industries
- Examines limitations of virtual desktop infrastructure for modern AI workflows
Introduction
The webinar “Governing AI on Laptops You Don’t Manage” examines one of the more pressing security challenges facing distributed organisations: how to maintain data governance when employees use generative AI tools on devices outside corporate control. Designed for IT security leaders, CISOs, and compliance officers, the session addresses the intersection of AI adoption, endpoint security, and bring-your-own-device policies. As organisations increasingly rely on contractors, remote workers, and personal devices, traditional approaches to endpoint management have become insufficient for controlling how sensitive data interacts with AI applications.
About This Event
Presented by Venn, this virtual webinar is available as both a live session and an on-demand recording. The format focuses on demonstrating practical approaches to AI governance rather than theoretical frameworks, with particular attention to implementation on Mac and Windows devices regardless of ownership status.
The Challenge of AI Governance on Unmanaged Devices
The proliferation of generative AI tools has created a governance gap for organisations that cannot mandate corporate-owned hardware. When employees access AI applications from personal laptops or contractor-provided machines, security teams lose visibility into how company data flows through these systems. Traditional device management solutions assume administrative control over the endpoint—an assumption that breaks down entirely in BYOD environments.
This creates several interconnected problems. Data may be uploaded to AI services without appropriate controls. Usage cannot be audited against corporate policies. And employees, facing restrictions that limit their productivity, often circumvent security measures entirely by using unsanctioned tools.
Secure Enclaves as an Alternative to Device Control
The webinar introduces a workspace-centric security model that shifts focus from managing the device to securing the environment where work occurs. Rather than requiring ownership or administrative access to an employee’s machine, this approach establishes a company-controlled secure enclave that operates on any compatible Mac or PC.
Within this enclave, organisations can define which AI tools are permitted to access corporate data, ensure that AI usage occurs through auditable company accounts, and provide employees with native application experiences rather than degraded browser-based alternatives. The architecture aims to separate corporate data and workflows from the underlying device without the performance penalties and complexity associated with virtual desktop infrastructure.
Moving Beyond Virtual Desktop Infrastructure
Virtual desktop infrastructure has long served as the default solution for securing work on unmanaged devices, but it carries significant operational overhead. VDI deployments require substantial infrastructure investment, ongoing maintenance, and typically deliver a compromised user experience that struggles with latency-sensitive applications. For AI tools that benefit from local processing power and responsive interfaces, these limitations become particularly acute.
The session positions secure workspace technology as a lighter-weight alternative that preserves native application performance while maintaining the isolation and control that security teams require. This distinction matters for organisations evaluating how to enable AI adoption without either prohibiting useful tools or accepting unacceptable risk.
Who Should Attend
The content is most relevant to security and IT leaders responsible for endpoint strategy, data protection, and compliance in organisations with significant remote or contractor populations. Industries handling sensitive information—including financial services, healthcare, and professional services—face particular pressure to govern AI usage while supporting workforce flexibility. CISOs evaluating alternatives to device-centric security models and compliance officers concerned with auditability of AI interactions will find the discussion directly applicable to current planning challenges.
Balancing Productivity and Control
A recurring theme throughout the webinar is the inadequacy of prohibition as a security strategy. Blocking AI tools outright often drives usage underground, where it becomes invisible to security teams and impossible to audit. The alternative presented involves enabling sanctioned AI access within controlled boundaries—giving employees productive tools while maintaining the governance capabilities that compliance and risk management require.