Financial datasets are among the most sensitive and regulated data categories in AI development. Real financial data is subject to strict access controls — making it difficult to share for model training, testing, and research.
Synthetic financial datasets solve this problem. CertifiedData generates statistically realistic financial data using CTGAN and certifies every dataset with an Ed25519-signed certificate recording its synthetic origin.
What synthetic financial datasets include
CertifiedData generates synthetic financial datasets across the most common categories: transaction records, credit risk features, market price series, and fraud-labeled datasets.
- Transaction datasets: amount, merchant, timestamp, account features
- Credit risk datasets: applicant features, default labels
- Market data: price series, volume, volatility signals
- Fraud detection: labeled transaction anomalies
- Loan origination and repayment records
Why financial synthetic data needs certification
Financial AI models are subject to regulatory scrutiny. Governance teams need documentation of training data origin and integrity. A certificate provides machine-verifiable evidence that the training data was synthetic and has not been modified.
This is particularly important for models deployed under frameworks like SR 11-7, the EU AI Act, or internal model risk management policies — all of which require training data documentation.
Compliance applications
Certified synthetic financial data supports model risk management documentation, stress testing with synthetic scenarios, regulatory sandbox submissions where real data cannot be used, and third-party model validation with verifiable datasets.
Frequently asked questions
Is synthetic financial data statistically accurate?
CTGAN-generated financial datasets are trained to match the statistical properties of real financial data distributions — including feature correlations, marginal distributions, and class imbalances. They are not intended for forensic analysis of real financial behavior.
Can synthetic financial datasets satisfy model risk management requirements?
Certified synthetic datasets provide the documentation trail that supports MRM requirements. The certificate records the algorithm, generation parameters, and dataset fingerprint — evidence that can be attached to model validation reports.
Generate certified financial data
Create synthetic financial datasets certified with Ed25519 signatures and SHA-256 fingerprints.