The End of Volume-Based Severity: Rebuilding Risk Assessment with AI

## Executive Summary **The report argues that counting sensitive records and rigid rule-based severity models fail to represent real-world risk; instead, Cyera proposes an LLM-driven, context-aware severity engine that synthesizes content, access patterns, lifecycle, and human context to produce immediate, evidence-backed prioritization at discovery, reducing manual triage and aligning remediation with actual organizational risk.**