Enterprise AI Through a Data Security Lens: Balancing Productivity With Safety

## Executive Summary This Omdia commentary argues that organizations must prioritize data discovery, classification, and security before exposing datasets to AI/LLMs, recommending automated classification, clear policies, and guardrails so that only appropriate data is ingressed into AI systems; the piece advocates a "control-first" approach to balance productivity gains with data privacy, compliance, and risk mitigation.