Most DSPM approaches stop at visibility: where data is stored, who has access to it, and where exposures exist. But without a deep understanding of the data itself — its type, sensitivity, and context — these signals do not translate into effective action. 👉 That is why AI-driven data classification has become a critical element of modern data security strategies.
Join our webinar, where we will discuss why traditional DSPM approaches no longer work without a deep understanding of data — and how AI-driven data classification becomes the foundation of modern data security. Using the BigID platform as an example, we will demonstrate how to move from basic visibility to real, actionable risk control.
What we'll cover in the webinar:
Key data security challenges in the era of hybrid cloud and artificial intelligence
Agentless scanning of cloud, on-premises, and SaaS data sources without data movement
Deep classification, correlation, and inventory of structured and unstructured data
Identification of dark data, secrets, duplicates, and AI training assets
Automation and integrations for rapid risk remediation