Fraud Rules
From Hype to Reality - Fighting Fraud with Graph Analytics
Ivan Skula- 14.8.2025
Fraud is connected and contextual. Graph analytics adds layer of context to boost detection, triage, and uncover what rules and ML on their own can’t.
Will the Digital Dirham Make Fraud a Thing of the Past? (Spoiler: Not Exactly)
- Ivan Skula
- 05.8.2025
Ready for the Digital Dirham? We're breaking down the customer benefits and fraud challenges of the UAE's new CBDC, so you're not caught off guard.
From Hype to Reality - Fighting Fraud with Composite AI
- Ivan Skula
- 25.7.2025
Composite AI fights fraud smarter by combining ML, rules, graphs & behavior analytics. Real cases show why silos lose & synergy wins.
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.