Fraud schemes often evolve faster than internal controls. A mature anti-fraud function does more than investigate losses. It identifies weaknesses early, informs product design, connects signals across accounts and measures whether controls are reducing risk without creating unnecessary friction.
Why the most dangerous threat to businesses is no longer external hacking, but access gained through legitimate employee accounts. How security logic is evolving in hybrid environments, how attackers penetrate internal systems, and which signals can reveal an attack before it results in data leakage or infrastructure takeover.
How banks can build effective anti-fraud systems when resources are insufficient for total control. Why, in such conditions, the number of checks matters less than precise prioritization, the ability to separate noise from real risk, and the discipline to identify where fraudulent activity converges. What measures strengthen protection without heavy infrastructure: monitoring dormant accounts, limiting remote onboarding, analyzing links between transactions, and involving employees beyond the anti-fraud function.
Modern fraud rarely looks like a conventional cyberattack. It is often disguised as routine customer activity and moves through marketplaces, messaging apps, remote identity checks and gaps in a company’s own processes. What does this mean for anti-fraud, the allocation of responsibility and the way businesses manage risk?
AI in anti-fraud is often treated as a universal solution. In practice, however, the term covers fundamentally different tasks - from machine learning models built on large datasets to text structuring and anomaly detection. Igor Ermak explains why AI delivers the greatest practical value in detection, how teams work with confirmed fraud patterns and typologies, and where the limits of the technology begin.
How can companies fight fraud without killing conversion and sales? An industry expert shares hands-on experience—from basic rules to advanced models, from manual checks to resilient anti-fraud systems that not only reduce risk but actively improve customer experience and revenue.
