Indonesia ranks as the second most fraud-vulnerable country globally, with a fraud activity intensity score of 4.93 out of 5 according to the Global Fraud Index 2025. For fintech leaders scaling across Southeast Asia, this is simultaneously an existential threat and a genuine competitive advantage.
The traditional approach to fraud prevention relies on rules-based systems that flag transactions above certain thresholds. It doesn’t work anymore. Fraudsters now use AI-powered synthetic identity creation, deepfake technology, and organised fraud-as-a-service operations to stay ahead of static rule sets.
What separates the winners from those struggling is this: the institutions building AI-powered fraud detection into their DNA from day one are not treating fraud as a cost centre. They’re treating it as a product feature.
Why fintech leaders are rethinking fraud infrastructure
“Oradian provides us with the flexibility and configurability we need to strengthen our operations and accelerate our next phase of business expansion,” says Fina Valentin, CEO of Pohon Dana. “We were looking for a partner that understands dynamic regulatory environments with technology that scales, ease of integration with our existing systems, real-time reporting out of the box, and operational controls in line with OJK expectations. As we continue scaling our MSME lending operations, having a modern and flexible loan management system that can evolve with us is critical.”
Indonesia’s instant payment adoption and high mobile wallet penetration create both opportunity and urgency. Your customers expect frictionless experiences, but fraudsters are equally motivated by the speed and accessibility of these payment rails. According to Veriff’s Future of Finance Report, one in every 20 verification attempts globally is now deemed fraudulent.
In Indonesia’s high-velocity market, the window between fraud detection and fund movement is measured in seconds, not hours.
The performance gap: rules-based versus AI
The fintech organisations that will dominate the next three years are those building real-time fraud detection directly into their core infrastructure. Not bolting it on afterwards. Not waiting for quarterly vendor updates.
AI-powered fraud detection achieves measurably better results:
- 90-99% accuracy compared to 35-70% for rule-based systems
- Up to 90% reduction in false positives
- Two to four times more financial crimes identified (based on HSBC’s experience analysing 1.35 billion transactions monthly)
- 54% reduction in investigation costs
- 50% reduction in investigation duration
For fintech companies, false positives matter because everyone is a customer experiencing friction at exactly the moment they’re trying to move money.
What infrastructure enables real-time fraud detection
Your infrastructure needs to support three critical capabilities:
Real-time transaction processing and event streams
Your core must process transactions as events, exposing them through APIs so detection systems can flag suspicious activity before it completes, not after.
A governed off-core data layer
Running fraud detection models directly against your production database creates a difficult trade-off: models need complete data, but heavy analytical queries degrade the live system. The solution is a secure, read-only replica that keeps data in sync in near real-time.
Configurable decision logic without vendor dependency
Fraud patterns evolve faster than most vendor release cycles. When a new fraud vector emerges, you need to update your detection rules in hours, not weeks. A modern, AI-ready core allows your risk teams to adjust detection logic through configuration rather than custom development.
The consolidation happening now
Indonesia’s fintech market is consolidating. The organisations that can scale safely, that can onboard millions of customers while maintaining sub-1% fraud rates, will capture disproportionate market share. Those still relying on rules-based detection systems or legacy infrastructure are building on a foundation that will crack under scale.
The competitive advantage doesn’t come from buying better fraud tools. It comes from building the infrastructure that makes real-time AI fraud detection possible in the first place.
For a deeper dive into what this infrastructure looks like and a practical roadmap for implementation, download Oradian’s AI fraud detection guide for digital-first financial institutions.
About Oradian
Oradian’s core banking platform is designed for innovative financial institutions in dynamic markets. The platform makes it possible to integrate advanced AI capabilities for fraud detection, credit decisioning, and compliance monitoring, enabling banks and fintechs to scale securely. As the first international member of AFTECH, Oradian serves financial institutions across dynamic markets globally, with dedicated teams based in Indonesia supporting the region’s fintech ecosystem. Find out more about Oradian in Indonesia.
