The technology
Behind
is a complex MONITOR-and-ALERT system that scans all the relevant data sources within the organization, compares them to hundreds of existing and acquired scenarios 24/7, analyzes processes, and alerts on inconsistencies and irregularities in Real Time, before such irregularities may cause damage to the organization.
enable cross-database multi-layer analysis
Dozens of structured fraud scenarios tracking patterns of existing data along with patterns of data omissions
A robust and scalable ETL tool is an essential component of the Detelix Solution
for managing Logical, Analytical & Rule-based exceptions, Process irregularities, Patterns, Correlations, Behavioral analysis of multiple data sources in Real Time, and more…
Hundreds of algorithms checking and cross-referencing current and past data to verify consistency, reasonability, accuracy, and appropriateness of transactions
1
from various internal databases using Detelix’ ETL tool
2
using DETELIX proprietary algorithms based on client’s transaction procedures
Research & Report
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Assessing transactions’ risks Analyzing & cross-referencing processed data, trends, and procedures
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Identifying and alerting on potential risks BEFORE the suspicious transaction is completed
Key Features
And capabilites
24/7 company’s transactions monitoring
minimizing workload while maximizing efficiency
advanced pre-emptive identification of changing patterns
>500 built-in flexible scenarios & use cases to enhance accuracy
pre-emptive identification of changing patterns
precedent precision, delivering only relevant results
analyzing & updating scenarios according to customer-specific use cases
deep investigation of each alerted transaction, alerts breakdown reports
Hundreds of proprietary algorithms along with AI & ML engines working 24/7 to detect and alert on possible leakages before the transaction is complete
Detect & Prevent
Processes large volumes of data from different sources and formats
Analyzes and compares related entries to detect anomalies & irregularities
Presents data break-down for each alert
Identifies and predicts risks
Alerts on detected issues BEFORE the actual transaction had been carried out
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