Banking
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.
Mastering Fraud Solution Implementation - Importance of Leadership and Unified Priorities
- Ivan Skula
- 31.7.2024
Mastering fraud solution implementation means having a great executive sponsor and company-wide support. Key factors include leadership, clear priorities, and effective communication to ensure project success.
Essential Skills for the Modern Fraud Fighter
- Ivan Skula
- 12.7.2024
Overwhelmed by information overload and an ever-evolving fraud landscape? We feel the same. Let’s explore how to stay up-to-date by prioritizing foundational skills for effective day-to-day work.
Mastering Fraud Solution Implementation - The Art of Defining 'What' and 'How'
- Ivan Skula
- 24.6.2024
Discover the keys to successful fraud solution implementation by understanding the critical roles of 'What' and 'How' in avoiding scope creep and achieving project goals.
The dawn of the vishing!
- Ivan Skula
- 08.11.2023
Article explores a potentially ominous evolution of vishing, where AI-driven models could replace human call center agents, making vishing even more scalable, adaptable, and convincing.
Customer in Control: Reducing Fraud Risk by Allowing Customers to Manage Their Own Exposure
- Ivan Skula
- 13.7.2023
Shift in Fraud Landscape: Account Takeover Fraud loses ground to Authorized Push Payments, raising challenges for banks in fraud detection. UK Government takes action to protect APP fraud victims, signaling potential glo
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
Approve or Decline - are these all our options?
- Ivan Skula
- 25.6.2023
Initially, when an organization deploys a real-time fraud prevention system, at least two responses are inherently required - Approve and Decline. But are there any other options?
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.
Don't trade the go-live date for more functionality.
- Ivan Skula
- 26.11.2022
A lot of effort goes into planning and framing the scope of a new fraud management solution. It is especially tricky when the organization is going through this process for the very first time. Based on my experience fr
How (not) to train the fraud detection model! (Part 2)
- Ivan Skula
- 13.11.2022
In the follow-up to last week's story, Milo will further widen his view on possible routes he can take. He will also realize how overwhelming it could become to improve the predictive model through additional features an