Zero Trust Data Protection & Privacy with Protegrity and Databricks

I see the same fundamental challenge repeatedly when speaking with enterprise data teams: organizations want to move faster with advanced analytics and AI applications and agents, but their underlying security models were built for an older, more predictable data landscape. Data no longer stays neatly confined to relational rows and columns. Today, it moves across structured Delta tables, unstructured files such as PDFs, and real-time conversational AI prompts. In many modern environments, relying on separate encryption tools, ad hoc masking rules, and isolated access controls creates significant operational complexity while increasing the risk…