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Run Fraud Checks on My Customers New
Leverage Singtel’s network intelligence to identify high-risk customers — privacy-preserving, no raw data shared.
Dashboard / Fraud Check
Connect your customer data
Choose how you want to provide your customer data for analysis
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Upload a file
Upload a CSV, XLSX, or JSON file from your computer
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Connect your dataset
Connect directly from your datalake, CRM, or data warehouse
Coming soon
Dashboard / Fraud Check / Upload Data
Upload customer data
Provide your customer dataset to begin the fraud analysis
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Drop your file here
or click to browse from your computer
Supported formats — CSV · XLSX · JSON
Dashboard / Fraud Check / Upload / Configure
Configure & preview
Review your data and configure the analysis settings
Screening partner
Singtel
Screen against Singtel’s pre-fed network intelligence. No additional setup required — results are immediate.
Pre-configured · Immediate results
Another organisation
Collaborate with a partner on Singtel Empower. Both parties must independently upload and configure their data before the analysis runs.
Dual-party · Requires partner submission
Data preview
Matching configuration
Unique customer identifier column

Used for privacy-preserving matching. Raw identifier values are never transmitted.

Fraud model logic
Choose a model
Your model weights
w1 · linked_entity_count
w2 · linked_device_count
w3 · alert_count_90d

Partner weights (v1, v2, v3) are contributed by the partner organisation and are not visible to you.

The selected model will be applied to compute fraud risk scores for matched customers.

Dashboard / Configure / PSI Results
PSI Match Results
Common customers identified across both datasets via Private Set Intersection. No raw identifiers were exchanged.
Customer Token PSI Status alert_count_90d linked_entity_count linked_device_count
Dashboard / PSI Results / Fraud Risk Dashboard
Fraud Risk Dashboard
Risk profiles for matched customers only — derived from Singtel network signals. No raw customer data was accessed or shared.
Customer ID Risk score Level Key indicators
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Privacy-Preserving Analysis Running
Your raw customer data never leaves your environment