FINOS Open RegTech
Reviewed October 2026
FINOS Open RegTech is the Fintech Open Source Foundation's umbrella initiative to replace custom-built regulatory compliance systems with open-source, mutualized infrastructure. It is coordinated by the Open RegTech Special Interest Group and includes the Common Domain Model (CDM), Morphir, Digital Regulatory Reporting (DRR), and the AI Governance Framework (AIGF).
The pattern is precise: take a regulatory requirement, express it as enforceable logic, run it continuously against operational data, and produce evidence as a byproduct of normal operations.
The Component Projects
Open RegTech is an architecture pattern, not a single product. The components work together:
- Common Domain Model (CDM): a shared, machine-readable representation of trades and lifecycle events
- Morphir: regulatory rules expressed as executable code rather than PDF interpretations
- Digital Regulatory Reporting (DRR): the production layer that takes CDM-structured data, applies the rules and produces reports regulators accept
- AI Governance Framework (AIGF): the AI governance equivalent, a catalog of AI risks and controls mapped to global frameworks
Institutional Adoption
FINOS hosts the Open RegTech projects, and large banks, market infrastructure providers and central counterparties contribute to them. As of October 2026, three of Canada's six Domestic Systemically Important Banks are FINOS members, and two of them sit on the FINOS Governing Board (see the FINOS members and Governing Board pages under Sources).
Why It Matters for AI Governance
The AIGF brings the same architectural pattern (requirement, rule, runtime enforcement, evidence) to AI governance. Institutions that built the trade-reporting stack are now applying the same pattern to AI: one evidence architecture across both regulatory domains.
Getting Involved
The projects are developed in the open under FINOS. The FINOS Open RegTech page lists them, and each project publishes its code and contribution guide, so a team can start by reading the model or the rules that matter to its reporting and take part from there.
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