Versus unscrupulous employees, customers, contractors and others.
The operations online and offline.
AML, CFT, KYC, anticorruption, automated compliance.
Analysis of the latest threats, development of new rules/scenarios.
The problem that we solve
Every third resident
has experienced the fraudsters who allegedly acted on behalf of a bank (KURSIVE, 2020)
Rise in fraud cases as of June 2022, according to the government services
Closing the Internal
Data required for analysis
Scheme of the Antifraud cross-channel monitoring system
Protection of Clients’ Funds from Fraudulent Activities
Collect and analyze identified and potential events to consider the possibility of risk reduction. Implement automated control in the Antifraud system for high-risk products.
Implement the scenarios and rules to detect suspicious activity. Check the effectiveness of the configured rules by analyzing the processed incidents, then optimize the rules in the Antifraud system.
Data enrichment for the Antifraud system from the information systems. Machine learning launch. The organization continuously monitors, detects events, responds, and optimizes controls.