Realize Multi-AI Ambitions with a Data-First Security Approach

Explore a comprehensive conference session from Microsoft Ignite 2025 that addresses the critical security challenges organizations face when implementing AI solutions across multiple platforms. Discover how to implement a data-first security approach to protect enterprise data while scaling AI initiatives responsibly across systems like Microsoft 365 Copilot, Copilot Studio, Slack, and Jira. Learn about the complexities of data access management within Microsoft 365 Copilot and understand how these risks expand when integrating with other enterprise platforms. Examine the integration of Varonis with Microsoft Purview to enhance visibility and control over data access patterns. Understand the unknown risks that emerge in expanding AI and data environments, and explore strategies for managing agent identities and access across multiple systems. Navigate the delicate balance between security and productivity while establishing governance frameworks and risk controls for AI implementations. Discover how automation and AI can be leveraged to manage access controls and security protocols more effectively. Gain insights into the importance of data-centric observability and detection mechanisms for maintaining security in multi-AI environments. This intermediate-level breakout session, presented by Brian Vecci, provides practical guidance for security professionals and IT leaders responsible for implementing secure AI solutions at enterprise scale.