Explore five common types of bank account fraud – from synthetic identities to mule networks – and how behavioral and device-based insights enable earlier, privacy-safe detection.

Synthetic identity fraud is on the rise. Discover how behavioral and device-based signals help fintechs detect synthetic fraud without using personal data.

Alternative credit scoring gives fintechs and lenders a smarter, privacy-safe way to assess risk and reach thin-file customers. Here's how it works – and why it’s gaining traction.

Fraud continues to pose a serious challenge for businesses worldwide. In 2024, nearly 60% of financial institutions, including banks, fintechs, and credit unions, reported losing over $500,000 each in direct fraud losses.

What is device fingerprinting and why is it crucial in fraud prevention?

Risk monitoring represents a set of techniques as a part of businesses’ risk-assessment.

Learn how ML-based solutions help to detect and prevent payment fraud.

Social engineering fraud types, impact on business, and ways to prevent.

What is application fraud, how does it work, and how to prevent it?

Learn how to prevent bot attacks and protect your business from fraud.

Mobile ad fraud supposes hackers performing actions to manipulate mobile ad systems.

Payment screening refers to advanced anit-fraud techniques that help examine potentiallly fraudulent activities during the transaction.

Risk scoring factors plays a vital role in fraud detection and prevention strategies.

How first-party fraud affects Fintech business and how to prevent it?

Continuous fraud monitoring stands as a cornerstone in risk assessment.

What is friendly fraud and how can merchants prevent it?

What are the measures to prevent different types of third-party fraud?

Loyalty fraud encompasses deceitful actions aimed at exploiting loyalty programs.