Matters.AI is an AI-native data security platform that unifies DSPM, data detection and response, database activity monitoring, DLP, and insider risk management into a single intelligence layer. It is built for security teams that need to understand data incidents, not just detect them. Most enterprises have telemetry. What they lack is coherent context. When a data incident unfolds across authorized access, approved cloud storage, and legitimate business channels, scattered alerts from point tools cannot assemble the full story in time. Matters.AI is designed to close that gap. The platform continuously discovers and classifies sensitive data across cloud, SaaS, on-premises repositories, and endpoints. It builds a live data lineage graph to track how data originates, transforms, and propagates across environments. An intent modeling layer evaluates sequences of behavior and not isolated events to distinguish legitimate work from data misuse before exposure becomes irreversible. Endpoint-level visibility ties process behavior, file access, and egress destinations into a factual ground truth record that extends beyond database boundaries. When an incident occurs, Matters.AI generates an Evidence Pack. This is a structured and regulator-ready record of what data was involved, how it propagated, which identities accessed it, and what response actions were taken. It is produced continuously and not assembled manually after the fact.