From Hype to Reality - Fighting Fraud with Synthetic Data

• Ivan Skula
• 20.5.2025

Outsmart fraud with synthetic data: generate on-demand fake scenarios to train, test, and stress-test your rules and models - privacy-safe, scalable, and bias-free.

Why don't we just block the fraudster's IP address and be done with it?

• Ivan Skula
• 06.7.2023

Leveraging IP addresses is a common practice in fraud mitigation. However, understanding their limitations is crucial. This article explores the technical aspects of IP addresses, the role of IPv4 and IPv6, network addre

Device fingerprinting - how it works and where it fits in fraud detection?

• Ivan Skula
• 16.6.2023

Like a human fingerprint, a device fingerprint is a unique digital representation of a particular device. Lets look at how it works and where it fits in fraud-prevention?

Fraud rules basics or How to design a rule?

• Ivan Skula
• 22.5.2023

In this blog, we return to the very foundation of fraud detection and delve into the basics of the fraud rules creation process by tackling the ATM cash withdrawal fraud scenario.