Mastering Fraud Solution Implementation - Before You Ask for AI, Check Your Pantry

• Ivan Skula
• 02.9.2026

AI works in fraud detection, but it needs representative data, useful labels, active supervision and people who can govern it. Check your pantry before you promise the result.

From Hype to Reality - Fighting Fraud with Behavioral Analytics

• Ivan Skula
• 19.8.2026

Behavioral analytics reads the hands on the device: keystroke rhythm, swipe arc, how a phone is held. It exposes bots and account takeover. It tells you who is operating the session, never why.

Mastering Fraud Solution Implementation - The "I Want It All" Trap.

• Ivan Skula
• 05.8.2026

Hundreds of requirements in phase one is not ambition, it is a program-killer. A step beats a leap, the constraint is your own maturity rather than the vendor's, and customization is a symptom rather than a feature.

Mastering Fraud Solution Implementation - Measure It, Prioritize It, Own It!

• Ivan Skula
• 29.7.2026

Three old sayings decide whether requirements survive an implementation, so measure them cheaply, rank requestors as well as requirements, and put one name on every promise.

Mastering Fraud Solution Implementation - Success? Depends Who You Ask.

• Ivan Skula
• 23.7.2026

On time and on budget is the vendor's definition of success. Five roles, five scorecards, and one question nobody can answer, namely who owns fraud end to end.

Mastering Fraud Solution Implementation - It's Almost Never the Technology.

• Ivan Skula
• 10.7.2026

Fraud tech spend doubles while losses quadruple. The gap is not technology, it is delivery. Series opener on why fraud implementations fail predictably, and therefore preventably.

RAG Does Not Fix Hallucinations, It Just Makes Them Quieter!

• Ivan Skula
• 11.3.2026

Vendors say RAG eliminates hallucinations. Research says otherwise. What fraud teams should test before trusting AI answers.

When LLM Success Becomes the Enemy of Adoption!

• Ivan Skula
• 15.1.2026

When AI evolves faster than governance and operations, even the most powerful models can become barriers to real adoption.

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.

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.

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.

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.

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?

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