As regulations increase in volume and shift from entity-based to activity-based oversight, regulatory applications are under increasing pressure to deliver scalable, accurate control mapping that keeps pace with evolving requirements.
Without structured, machine-readable data, many still rely on workarounds such as building internal content pipelines, depending on client-supplied inputs, or using incomplete third-party data. These approaches are often difficult to maintain, slow to adapt, and costly to scale.
To meet client expectations and support automation at scale, solution providers need a seamless way to map and update obligations across control frameworks continuously, defensibly, and at speed.