Data Lineage Access Governance (2D)

This is the 2D companion to the 3D lineage-governance simulator: the same node-link data-lineage graph — source datasets feeding derived datasets feeding reports — rendered as a flat, pannable/zoomable diagram, with two governance mechanisms running on it in real time. Sensitivity classification propagates downstream: a derived dataset must inherit at least the strictest classification of everything it was built from, and any node that doesn't is flagged as a live audit violation with a dashed red ring. Small markers orbiting each dataset represent active access grants that age over simulated time; a periodic recertification review sweeps them on a configurable interval, renewing each with a tunable probability and letting the rest drift to stale, then revoked, exactly like a real access-certification campaign. A live sparkline tracks the privilege-creep index over simulated time so you can see entitlement drift build up between audits. Tune the review interval, recertification rate and simulated time speed, grant new access, extend the lineage with derived datasets, and drag or scroll the graph to explore it.