AI is rapidly becoming one of the biggest drivers of productivity and innovation in the enterprise — and one of the fastest-growing sources of data security risk. As copilots, assistants, and public AI tools become integrated into daily work, sensitive data is flowing into systems that most security teams can’t fully see, understand, or control. 
The problem is that traditional data security controls were never built for this. In fact, many organizations were already struggling to operationalize data security before AI accelerated the challenge. The good news? AI isn’t just creating the problem — it’s also enabling a smarter, more effective way to solve it. 
In this session, attendees will learn: 
• Why AI has become one of the fastest-growing and least visible sources of enterprise risk 
• How GenAI is creating new exposure points for sensitive data 
• Why legacy data security tools have failed to keep up — and why AI is making those gaps harder to ignore 
• How context-aware, AI-driven data security can deliver more accurate visibility, stronger controls, and real-time enforcement 
• What organizations can do to enable AI innovation without expanding their risk surface 
Attendees will leave with a clearer understanding of how AI is reshaping data security — and how they can use that same technology to gain control, minimize exposure, and support safer AI adoption across the business.