Fraud Management

Fraud Management Use Cases with Industry Scenarios

SIM Swap & Device Swap Fraud Prevention

  • Hospitality: Fraudster tries to use stolen guest loyalty points; SIM Swap check prevents access.
  • Insurance: Criminal tries to access online insurance payout using SIM-swapped account.
  • Parcel Delivery: Fake courier app login attempt flagged due to recent device swap.
  • Health: Fraudster attempts to access patient records from swapped SIM — blocked.
  • Prospect Candidates: Fake applicant tries to alter job application; system detects SIM swap before login.

Subscription & Identity Fraud at Onboarding

  • Hospitality: Fraudster books multiple rooms with fake IDs; telco identity verification blocks them.
  • Insurance: Fraudster tries to open policy with stolen ID; MSISDN doesn’t match ID → rejected.
  • Parcel Delivery: Fake courier profile creation blocked when MSISDN identity check fails.
  • Health: Fake patient identity creation in health portal rejected due to mismatch with telco identity.
  • Prospect Candidates: Ghost applicants filtered out when telco identity cross-check fails.

Roaming Fraud & Bypass Prevention

  • Hospitality: Fraudster calls hotel pretending to be in EU but roaming API shows they’re in Africa.
  • Insurance: Claimant reports accident “in Croatia” but roaming data shows SIM in Serbia → fraud flagged.
  • Parcel Delivery: Courier claims to be in Zagreb while roaming shows Bosnia — false route detected.
  • Health: Cross-border telemedicine fraud flagged when device location doesn’t match patient claim.
  • Prospect Candidates: Remote interviewee claims EU residency, but location API shows outside region.

E-commerce Transaction Fraud Detection

  • Hospitality: Fake guest tries to pay for booking with stolen credit card. Location mismatch → decline.
  • Insurance: Fraudster tries to buy insurance online with stolen card, telco device integrity fails → blocked.
  • Parcel Delivery: Fraudster orders high-value delivery with stolen card, device scoring reveals mismatch.
  • Health: Fraudulent attempt to order expensive medical services online with fake identity → blocked.
  • Prospect Candidates: Scammer attempts to pay fake “application fee” with stolen credit card → declined.

IoT & Connected Vehicle Fraud Monitoring

  • Hospitality: Fake IoT smart lock cloned by attacker — network API rejects unauthorized connection.
  • Insurance: Telematics data manipulated to fake “safe driving” score — network identity mismatch detected.
  • Parcel Delivery: Truck GPS tampered with — DIGI detects inconsistency between network identity and location.
  • Health: Fraudster manipulates connected medical device data for insurance benefits.
  • Prospect Candidates: Remote exam proctoring device tampered with — network verification ensures authenticity