AI-Powered Fraud Found The Seam Between Cybersecurity & Payments Risk
AI-Powered Fraud Found The Seam Between Cybersecurity & Payments Risk
Publish Date: 2026-04-22 21:00:00
Source Domain: www.forbes.com
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Structural fragmentation is quietly dismantling the defensive posture of payment processors and financial institutions. Cybersecurity, fraud, and payments risk teams largely operate in completely isolated departments. They maintain separate budgets. They monitor disparate intelligence feeds. And that is the problem. Threat actors ignore these artificial borders entirely.
This disjointed approach has a staggering financial toll. According to the Nilson Report, global card fraud losses hit $33.41 billion in 2024. A harsh asymmetry exists within this data. The US absorbs nearly 42% of global fraud losses despite processing only 26% of the volume. Much of this economic damage occurs remotely. Consumer loss data reported by ClearlyPayments shows that card-not-present fraud accounts for 71% of US card losses. That represents a $10 billion hit.
The cyber parallel is equally grim. The FBI tracked $16.6 billion in cybercrime losses, representing a 33% year-over-year increase. As initial attack vectors shift, Verizon’s 2025 Data Breach Investigations Report indicates a 34% surge in vulnerability exploitation. This fragmented defense is fundamentally failing. Criminals no longer distinguish between a cyber intrusion and a fraud event, executing complex attacks while defenders struggle to share basic intelligence.
How AI Weaponizes Organizational Fragmentation
Threat actors use artificial intelligence to exploit the blank spaces between siloed risk departments. Attackers operate across domains simultaneously. They execute a business email compromise, exploit a vulnerable endpoint, and push a fraudulent transaction at the exact same moment. Defenders remain busy patrolling separate territories. As a result, incident response times lag far behind the actual transaction cycle.
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