Insurance Anti-Fraud Database
The purpose of the Insurance Anti-Fraud System is to store information on insurance fraud incidents, investigations, confirmed cases, as well as records of individuals and institutions placed on the blacklist.
The system supports TIRA in managing fraud reports, investigations, confirmed cases, analytical reports and blacklisted entities in a secure, centralized database.
- Centralized fraud data across the insurance sector
- End-to-end workflow: report → investigation → fraud case
- Blacklisted individuals and institutions lookup
- Actionable reports and analytics for decision making
Modules
Key System Modules
Modules have been structured from the SRS to cover the full fraud lifecycle, from initial report to blacklist reference checks.
Insurance Fraud Reported Module
Stores initial information on suspected insurance fraud incidents reported by service providers, insurance companies, or other stakeholders.
Investigation Module
Manages the full investigation process, including evidence, actions taken, and preliminary decisions.
Fraud Cases Module
Stores and tracks all cases that investigations have confirmed as fraud, together with disciplinary or legal actions.
Reports Module
Generates analytical and statistical reports to support regulatory decisions and risk assessment in the insurance sector.
Blacklisted Individuals & Institutions Module
Stores records of individuals and institutions placed on the blacklist due to fraudulent activities for reference and regulatory decision-making.
System Overview
The Insurance Anti-Fraud System is a secure, centralized platform for TIRA and stakeholders to capture, track, and analyze insurance fraud information. It supports the lifecycle from initial report through investigation, fraud case confirmation, reporting, and blacklist management while maintaining reliable audit trails.
Assurance Themes
- Data security & access control
- Audit trail and accountability
- Performance and availability
- Compliance with TIRA procedures and regulatory standards