AI is no longer a pilot project; it has become a core engine of the enterprise. But the data fueling AI is increasingly fragmented, constantly changing, and moving across complex cloud and SaaS environments. Traditional security tools often lack visibility into how data travels, leaving organizations exposed to insider threats, Shadow AI, and the risk of sensitive IP, PII, or regulated data being unintentionally fed into external LLMs. At the same time, compliance teams face growing pressure to prove governance and auditability across evolving regulations.

Leading organizations are shifting toward unified data security approaches that track the full data journey. By combining automated compliance monitoring, data lineage mapping, and behavioral intelligence, security teams can understand how data evolves, detect risky behavior earlier, and reduce investigation time. This approach enables stronger AI governance, prevents sensitive data leakage, and allows organizations to adopt AI confidently without slowing innovation.

Join Netskope and a select group of your peers as we discuss how to secure AI adoption through data lineage visibility, how behavioral intelligence helps detect insider risk earlier, and how automated compliance can improve security response times while maintaining audit-ready governance.

Netskope, a leader in modern security and networking, addresses the needs of both security and networking teams by providing optimized access and real-time, context-based security for people, devices, and data anywhere they go. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and its powerful NewEdge network to reduce risk and gain full visibility and control over cloud, AI, SaaS, web, and private applications—providing security and accelerating performance without trade-offs.