Generative AI tools are revolutionizing enterprise productivity, but they also introduce a new set of risks that IT GRC leaders must address head-on. Misclassified data, over-permissioned access, and uncontrolled sharing can cause AI systems to surface sensitive information to the wrong people. Without the right guardrails, the benefits of AI can quickly be overshadowed by data exposure, compliance violations, and governance gaps.
This session will provide IT GRC leaders with a clear blueprint for balancing innovation with security. Attendees will:
• Identify foundational data security risks in generative AI adoption.
• Learn how to discover and classify sensitive data across cloud repositories before it’s exposed to AI.
• Remediate risky permissions to prevent data exposure in M365 and beyond.
• Establish continuous monitoring, anomaly detection, and safe deployment practices.
Attendees will leave not only with clarity on where generative AI introduces risk, but also with the practical know-how to ensure their organizations can confidently embrace AI while protecting sensitive data, maintaining compliance, and maximizing secure business value.