When AI Sees Everything

This article warns that rapid enterprise AI adoption is outpacing traditional data security, creating new risks as systems access, correlate, and transform information at machine scale. It advocates for data-centric security built on discovery, classification, and persistent, context-aware controls that move with the data to maintain visibility, enforce policies, and balance productivity with protection. The piece emphasizes shifting from insight to enforcement, preparing for agentic AI workflows, and sustaining innovation through continuous, data-level protection rather than perimeter-based assumptions.