MouseCat is an AI platform for fighting financial crime that helps risk teams detect suspicious activity, automate investigations, and act before money leaves. It learns how a business operates from standard operating procedures, historical data, case notes, policies, and human feedback, then spots anomalies across transactions, accounts, devices, and counterparties. MouseCat investigates anomalous activity using the same data available to human agents, builds evidence trails, explains its decisions, and can route cases for human review or automatically act on high-confidence outcomes. Its fraud and scam prevention capabilities identify first-party fraud, third-party fraud, account takeovers, scams, synthetic identities, and suspicious behavior across cards, ACH, wires, Zelle, checks, and crypto. It can analyze historical fraud and chargeback data, suggest new rules and model features, identify broader fraud trends, and surface coordinated patterns across users.