Topics Fraud Defenses Anti-Money Laundering (AML) Crowdsourced Abuse Reporting Device Fingerprinting Email Reputation Service IP Reputation Service SR 11-7 Compliance Supervised Machine Learning Two-Factor Authentication (2FA) Unsupervised Machine Learning Fraud Tactics Bot Attacks Call Center Scams Card Cloning Credential Stuffing Data Breaches Device Emulators GPS Spoofing Money Mule Scams P2P VPN Networks Phishing Attacks SIM Swap Fraud URL Shortener Spam Web Scraping Fraud Tech Device Intelligence Feature Engineering Identity (ID) Graphing Fraud Types App Install Fraud Application Fraud Bust-Out Fraud Buyer-Seller Collusion Content Abuse Loan Stacking Synthetic Identity Theft Types of Bank Frauds 12 Most Common Types of Bank Frauds Account Takeover (ATO) Fraud Check Fraud ACH Fraud First-party Fraud Wire Fraud Zelle Fraud Types of Card Fraud Credit card fraud Debit Card Fraud Lost or Stolen Card Fraud What You Need to Know About Card Skimming Scams DataVisor Wiki Welcome to the DataVisor Wiki! Your home for fraud-fighting insights, machine learning and AI education, and industry commentary. Here you can learn about the most prevalent fraud types, tactics fraudsters use, the best methods of defense against them, and the technology needed to combat them effectively. Need help getting started? Read about the 12 most common types of bank fraud to get acquainted with how fraudsters operate and introduce yourself to prevention methods to stop them.