Safe AI Adoption: Balancing Innovation, Data Exposure, and Security

Organizations are under increasing pressure to adopt AI quickly to improve productivity, accelerate decision-making, and maintain a competitive advantage. In many cases, however, the business is moving faster than the organization's ability to understand and manage the associated risks. AI initiatives are frequently launched before organizations have a clear understanding of their data, access models, information sensitivity, or how AI systems interact with enterprise information. The reality is that the greatest risk often isn't the AI itself—it's the data, permissions, and governance challenges that AI exposes. Connecting AI to enterprise systems can create a powerful new interface to organizational knowledge, but it can also amplify longstanding issues involving excessive access, poorly governed data, and limited visibility into how information is discovered, retrieved, and shared. This boardroom discussion will focus on the practical realities of safe AI adoption. Participants will share experiences, lessons learned, and challenges encountered as their organizations balance the…