AI Is Expanding the Enterprise Data Leakage Attack Surface

This whitepaper argues that connecting enterprise data to AI introduces a growing risk of data leakage because traditional security models and infrastructure were not designed for AI’s open-ended, agentic access to largely unstructured data. It highlights shadow AI, data sprawl, and machine identities as amplifiers of exposure, and recommends a data-centric security approach with real-time controls, zero-copy architectures, unstructured data protection, and policy enforcement at AI interfaces to prevent irreversible data loss.