From fraud detection and prevention initiatives to compliance
assurance, synthetic data provides financial institutions
access to private, compliant data on demand.
Banks and financial institutions face a delicate balance of increasing innovation while adhering to stringent regulatory and compliance governance. The push and pull of needing both high-
quality data that is also safe leads to organizational stagnation.
Synthetic financial data allows institutions to meet the nuanced needs of modern banking and finance by providing private, safe data at scale.
Organizations also use synthetic data to augment AI training datasets by boosting low sample sizes, balancing between classes, filling in miss-
ing fields, and simulating new scenarios.