The AI Trust Gap: Governing Autonomous AI Without Losing Visibility or Control

Business Continuity Management / Disaster Recovery , Cloud Security , Data Backup and Recovery The AI Trust Gap: Governing Autonomous AI Without Losing Visibility or Control Presented by Veeam Software     60 Minutes     Credit Eligible Autonomous AI is changing how organizations operate, but it is also introducing new governance, compliance and security challenges at machine speed. From shadow AI and uncontrolled data access to evolving regulatory pressure, enterprises are facing a growing AI trust gap between innovation and operational control. For organizations in highly regulated environments, the stakes are even higher. Security leaders must ensure AI systems remain transparent, governed and resilient while protecting sensitive data and maintaining compliance obligations. In this session, industry experts will explore how organizations can strengthen AI governance strategies, improve visibility into AI-driven activity and build a more trusted security foundation for the age of autonomous AI. What Attendees Will Learn: How autonomous AI is reshaping enterprise security and governance The biggest AI trust and compliance gaps organizations face today Strategies for governing AI systems without slowing innovation How to improve visibility into AI-driven data access and activity Why resilience and recovery are becoming essential to AI trust Best practices for protecting sensitive data in AI environments