As enterprises rush to adopt AI, the biggest security risk isn’t the AI model — it’s the lack of visibility into where sensitive data lives, who can access it, and how it moves across cloud, SaaS, and AI workflows. Traditional DLP alone cannot meet these challenges. Organizations need Data Security Posture Management (DSPM) as the foundation for protecting sensitive data in an AI-driven world.

Join Skyhigh Security and Omdia as we explore how DSPM provides the missing visibility and context layer to secure structured and unstructured data, sanctioned and shadow AI tools, and increasingly complex multicloud environments. Combined with SSE’s unified policy enforcement and modern DLP, DSPM enables organizations to both discover exposure and enforce real-time controls — even across GenAI prompts, outputs, and multiturn interactions.

Attendees will learn:

- Why DSPM is now essential for securing AI and SaaS adoption at scale

- How DSPM identifies sensitive data, misconfigurations, and toxic combinations before they reach GenAI tools

- How SSE + DSPM + DLP work together to protect data across web, SaaS, private apps, and unmanaged devices

- How to reduce data leakage risks from shadow AI, unsanctioned SaaS, and encrypted channels

- Practical steps to operationalize DSPM as part of a modern data security strategy

This session is ideal for security architects, data protection leaders, CISOs, and cloud security teams driving secure AI and SaaS adoption in 2025.