A fraud scheme using AI-generated songs and billions of fake streams has revealed how digital platforms can be manipulated to divert millions in royalty payments.
A large-scale fraud scheme using AI-generated music has exposed vulnerabilities in streaming platforms and royalty systems. Billions of fake streams were used to divert payments away from legitimate artists and rights holders.
The scheme ran from 2017 to 2024 and involved uploading hundreds of thousands of AI-generated tracks. Automated programs were then used to stream the songs at scale, inflating play counts and generating revenue.
The operation relied on thousands of bot accounts, bulk email registrations and cloud-based systems. Streaming activity was spread across many tracks to reduce detection and maintain consistent earnings over time.
Michael Smith, a 54-year-old from North Carolina, has pleaded guilty to…
This category refers to crimes committed by employees or insiders against their own organizations. It is often the most damaging because the perpetrator has authorized access to systems.
- Asset Misappropriation: The most common form, involving the theft of company resources. This ranges from simple “skimming” (taking cash before it’s recorded) to complex schemes involving the theft of inventory or intellectual property.
- Payroll Fraud: Employees may create “ghost employees” on the system, falsify their own timesheets to claim unworked overtime, or divert salary payments to their own accounts.
- Financial Statement Fraud: Management deliberately misrepresents the company’s financial health by inflating revenue or hiding liabilities to attract investors or meet performance bonuses.