RegTech (regulatory technology) is the application of technologies such as data analytics, machine learning, cloud computing and automation to help regulated firms meet compliance obligations more efficiently and accurately. It streamlines tasks including identity verification, transaction monitoring, regulatory reporting and risk surveillance. RegTech reduces the manual cost of compliance while improving the timeliness and consistency of regulatory outcomes.
Overview
- RegTech arose as post-crisis regulation expanded compliance burdens faster than firms could staff them manually.
- It treats compliance as a data and workflow problem amenable to automation rather than purely a legal exercise.
- Vendors and in-house teams build tools that ingest rules, map them to controls, and produce auditable evidence.
- The field overlaps with SupTech, where regulators themselves adopt analytics to supervise markets.
Mechanisms
- Rule digitisation converts regulatory text into machine-executable logic and controls.
- Transaction monitoring applies pattern detection to flag suspicious or non-compliant activity.
- Automated reporting assembles regulatory returns from source systems on schedule.
- Identity and onboarding tools verify customers against sanctions, PEP and document checks.
Applications
- Anti-money-laundering and fraud detection in banking and payments.
- Automated regulatory reporting for capital, liquidity and trade transparency.
- Continuous controls monitoring and audit-trail generation.
- Conduct surveillance over communications and trading behaviour.