Automate, scale, and enhance your solution with structured control data that transforms fragmented regulatory content into precise, actionable obligation-level intelligence – mapped to control frameworks and ready for integration
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.
RegGenome’s Controls & Obligations Library removes manual bottlenecks and accelerates compliance solution development by providing a structured, integration-ready dataset designed for control mapping at scale.
Mapped to granular regulatory obligations and key industry standard control frameworks used by regulatory applications.
From internal controls to regulatory requirements.
Embeds easily into existing solutions.
To original laws, regulations, and guidance for transparency and audit defensibility.
Removes the manual burden of tracking regulatory change.
Modular and easy to integrate
CEO & Founder – Winterhawk
Expand and automate your control catalogue with pre-mapped, structured regulatory data, reducing reliance on manual inputs or costly in-house pipelines.
Ensure control completeness with traceable, obligation-level mapping linked to regulatory source texts, supporting stronger controls, processes, and procedures.
Isolate high-priority obligations from dense regulatory documents, enabling faster implementation of effective controls and reducing time spent on content analysis.
Help customers surface relevant regulatory obligations, through structured tagging and framework-aligned data that can be searched and navigated through user friendly interfaces.
Cut through regulatory noise with curated coverage of directive-heavy documents, prioritised by impact, jurisdiction, and publisher to maintain relevance.
Deliver new compliance features faster by removing internal content structuring bottlenecks and freeing up development capacity.
Delivered in machine-readable formats with structured schema and metadata (e.g. control IDs, risk types, jurisdictions), ready for data lakes or relational systems.
Regulatory solution providers use the Control & Obligations Library to map internal controls to regulatory requirements automatically, accurately, and at scale.
By isolating actionable items from regulatory documents, the library helps compliance teams cut through irrelevant content and focus on what matters: critical obligations that give rise to controls, policies, and procedures.
This enables faster implementation of control frameworks, clearer traceability to source, and reduced risk of oversight, while significantly lowering the manual effort involved in compliance management.
Pre-packaged modules can be embedded directly into systems, allowing providers to operationalise compliance through automation, reduce time-to-implementation, and support defensibility in audits and reviews.
The dataset includes structured features designed to support scalable integration, automation, and compliance workflows. Delivered in machine-readable formats (e.g. JSON, Excel) and available via modular delivery, users can select only the jurisdictions or frameworks relevant to their solution.
Coverage of key industry standard frameworks
Such as NIST and SCF across numerous sectors
Automatic extraction of actionable items
Specific obligations and controls mapped to control frameworks
Identification of authoritative documents
With high concentrations of directive language
Mapping of obligations
To original regulatory source documents
Versioning and traceability
For audit-readiness
Schema-driven metadata
Structured for downstream use in control mapping, control assessments, and compliance control management
Ready to simplify control mapping and enhance your solution with modular, machine-readable regulatory data?
