In this episode of Fraudology, Karisse Hendrick welcomes back Ron Zayas, CEO of Ironwall, to discuss the terrifying ways Artificial Intelligence is industrializing fraud. While we often think of AI as a tool for automation, Zayas explains that its true danger lies in its ability to apply human-like logic to stolen data at an unprecedented scale.

The conversation dives deep into the mechanics of modern account takeovers, explaining how AI can "guess" password variations by identifying personal patterns across multiple data breaches. We also explore the hidden risks of biometric security, from the vulnerabilities of centralized facial recognition databases to the high error rates of AI models when identifying people of color.

Key topics covered in this episode include:

Fraud at Scale: How AI moves beyond simple automation to recognize patterns in your passwords and digital behavior to breach accounts across the web.
The Biometric Trap: Why storing your facial recognition or fingerprint data with a bank or organization is a permanent risk, and why local storage on your device is the only safe alternative.
Biometric Bias and Mistakes: The reality of high error rates in facial recognition for people of color and the harrowing story of a woman arrested for a crime in a state she had never visited due to an AI mismatch.
Breaking the Connection: Practical steps to remove your personal information from data brokers and why you should treat your mobile number with the same secrecy as your Social Security number.
The Metadata Threat: How a simple photo of your house or the Grand Canyon can leak your exact IP address and physical location to bad actors through hidden metadata.