Business Domain

Fraud & Financial Crime

Fraud and financial crime require banks to detect suspicious activity, assess risk, investigate cases, and intervene when action can still change the outcome. AI creates an opportunity to identify emerging threats earlier, improve real-time fraud decisions, and focus investigative capacity where it matters most.

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Fraud & Financial Crime

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Fraud & Financial Crime

Insights

The Global Shift in APP Scam Liability

APP scam regulations are evolving around the world, but the real story is not reimbursement. As liability shifts toward financial institutions, investment priorities are changing. Fraud prevention is becoming an economic imperative, driving new investment in real-time decisioning, mule account detection, behavioural analytics, and Transactional AI.

Fraud & Financial Crime

Insights

APAC Banks Pay $4.59 Per Dollar Lost Without AI Detection

APAC financial institutions spend $4.59 for every $1 lost to fraud. Regional AML penalties surged 266% in H1 2024. The 2023 Singapore money laundering case has shifted every major AP regulator from consultation to enforcement. Three pressures are converging on APAC banks simultaneously — and all three are backed by primary evidence.

Fraud & Financial Crime

Insights

Four Criteria That Reveal Which AI Decisions to Fix First

Most AP banks are targeting AI at the wrong decisions. The ones that identify the right decisions are still failing for three consistent reasons. And the sequence in which to act is not obvious — which is why a structured prioritisation framework matters more in APAC than in any other region.