A phishing campaign involves far more than an email and a cloned login page. Behind it sits an infrastructure of servers, databases, control panels, bots and notification channels. Romano Ramanti explains how analysing that infrastructure can reveal attackers’ mistakes and help banks intervene before customers lose money.
When a bank processes 1 billion digital transactions a year, fraud can no longer be treated as a security issue to be investigated after the event. Fraud losses cost money, but excessive blocking does too. The experience of Lasha Mazanashvili shows why tackling digital fraud depends not only on technology, but also on the speed of scenario development, data quality and visibility into what is happening on the customer’s device.
AI has not created fundamentally new forms of fraud, but it has transformed the economics of attacks. Schemes that once required large teams and substantial resources can now be automated and scaled at speed. Businesses must therefore rethink how they detect risk, respond to attacks and contain incidents before they spread.
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.
