Use case · Risk
Fraud and anomaly detection
Score risk on transactions and behavior, connect entities and prepare explainable investigation cases. Fraud hides in patterns across many records. BrainShift scores risk, links related entities and explains why something looks suspicious.
How it works
From request to result
01
Collect
Connect transactions, declarations and reference data.
02
Analyze
AI scores risk and links related entities.
03
Review
Analysts review explained alerts.
04
Act
Confirmed cases feed back to improve detection.
Example scenario
Al Munasiq for Dubai Customs
An on-premises AI fraud detection and classification system that helps customs officers target high-risk shipments.
Outcomes
What changes for your organization
Earlier detection
Suspicious activity flagged quickly.
Fewer false alarms
Better targeting of reviews.
Explainable alerts
Reasons shown for every flag.
On-premises
Sensitive data stays inside.
Who uses it
Teams that benefit
Explore How BrainShift Can Implement This Use Case
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