Seeing the Forest: Why File-Level Classification Is the Missing Layer in Data Security

**Cyera** presents a **file-level classification** approach that uses a generative, open-world model with guardrails and tenant-aware context to infer a document’s intent and sensitivity across formats without per-tenant training, enabling actionable labels that drive DLP, encryption, access, and retention controls; it detects toxic data combinations, normalizes labels for policy stability, runs close to the data for performance and residency, and delivers fast, cost-efficient inference at enterprise scale.