Matters Insider Data Risk Management (IDRM) is a platform designed to detect and respond to suspicious data movement by employees, contractors, vendors, and privileged accounts before incidents occur. Rather than relying on static DLP rules, the platform uses behavioral analysis and content awareness to identify anomalous activity in real time. It builds per-user behavioral baselines and continuously learns how individuals interact with sensitive data across SaaS applications, cloud platforms, endpoints, and internal tools. Core detection capabilities include: - Identity-Aware Baselining: Monitors user behavior at the asset level, detecting deviations from established access patterns (e.g., after-hours access, bulk data operations not previously observed for that user). - Contextual Anomaly Detection: Evaluates the sensitivity of data being accessed, timing of actions, and behavioral context to distinguish normal activity from credible risk. - Role-Based Risk Scoring: Dynamically scores access events based on the user's role, privilege level, and deviation from expected behavior, surfacing higher-risk profiles more rapidly. - Intent Prediction Engine: Models whether an action is accidental or malicious by comparing behavioral and semantic patterns against similar roles, flagging combinations of signals (e.g., after-hours access, unsanctioned data destinations, bulk transfers) as likely malicious. The platform is aimed at security teams seeking to identify insider threats — including misuse, compromise, and negligence — before data leaves the environment.