The End of Classification as We Know It: Data Awareness Over Data Labels

Cyera Research Labs argues that legacy, label-based data classification fails in the GenAI era of sprawling, unstructured, and context-dependent data, proposing a "data intelligence" approach that prioritizes holistic understanding over pattern matching. The piece outlines capabilities such as document-level and identity-aware classification, human and business associations, and multi-dimensional analysis, organized into four pillars—automatic discovery, contextual understanding, multi-dimensional intelligence, and precision/recall at scale—to surface and protect crown-jewel data across modern cloud/SaaS environments, with practitioner tips to automate business context mapping and detect toxic combinations.