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15 Knowledge Center
Org:
Description:
Multi-source data fusion and machine learning analytics
Domain: Decision Intelligence
Org/ Segment:
Security, Civil Gov Investigation Units, FIU,
Tax & Anti-money laundering units
Warrants/Evidence:
N/A
Capabilities:
• Automatic threat scoring
• Hidden relations
• Patterns and anomalies
• Predictive analysis
Content
For example,
• Licenses and car registration
• Bank records
• Videos
• Border crossings
Sources:
• CDR
• Websites
• Registries
• Digital forensics
• CCTV
• Social media
• Crypto transactions
• Customer-owned IT solutions
Use Case:
A financial organization collects abnormal transaction reports from multiple sources. NEXYTE fuses these reports and automati cally classifies the
suspicion level based on Machine Learning (ML) models. The suspicion scoring reveals that a director is signing for several companies and has an
inconsistent profile. Reviewing the profile reveals a mismatch between the director’s locations and transaction purposes. Mapping hidden
connections between companies linked to the director and sanction lists reveals the criminal network.