Transaction Fraud & Digital Scam Losses in Indonesia

How We Strengthened Card & ATM Security With Real-Time Detection & Automated Blocking

Arrow Icon Case

In Indonesia, digital scam and fraud losses across consumers and financial institutions were reported in the trillions of rupiah, with fraudsters exploiting weak authentication and social engineering.

Payment fraud, phishing, and unauthorized transfers significantly burden banks and fintechs.

Arrow Icon How SHIFRAUD Solves It

SHIFRAUD applies:

  • Dynamic Transaction Risk Modeling for every transfer, purchase, and payout.
  • Anomaly Detection Engines that spot patterns inconsistent with a user’s history.
  • Device & Channel Tracking across mobile, web, and API endpoints.
  • Real-Time Interruption Controls to block high-risk payments before settlement.
Arrow Icon With vs Without SHIFRAUD

Without SHIFRAUD :

  • Fraud payments settle before detection
  • Loss recovery is slow and costly
  • Customers associate the brand with insecurity

With SHIFRAUD :

  • High-risk flows are blocked proactively
  • Fraud loses are reduced significantly
  • Customer confidence strengthens
Arrow Icon How SHIFRAUD Solves It

Unified Cross-Channel Fraud Visibility

All digital channels (mobile, web, API, QR payments) feed into one real-time intelligence engine.

Real-Time Payment Security at National Scale

SHIFRAUD handles high TPS environments without latency—critical for instant payments and QRIS expansion.

Measurable Reduction in Fraud Losses

High-risk transactions are intercepted before completion, decreasing compensation costs and exposure.

Better Customer Trust & Brand Loyalty

Faster fraud prevention and consistent protection strengthen consumer perception of platform safety.

Lower Manual Review Costs

Automated scoring reduces reliance on human analysts, accelerating decision-making while improving accuracy.

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