ZIGRAM is pleased to announce the deployment of Transact Comply version 1.9, which introduces seamless integration with Entity Hero and significant enhancements across the platform.
Introduced a new preview interface to display uploaded transaction data in a structured tabular format. This enhancement allows users to review transactions immediately after uploading a batch, view numerical values with comma separators for improved readability, validate and verify uploaded records before further processing. This feature helps users quickly confirm the accuracy of uploaded transaction files.
Introduced a new capability to seamlessly upload and manage Capital Markets data files via SFTP. The feature supports automated scheduled uploads through a configurable scheduler, accurate field mapping to display proper data field names within the rules engine for rule creation, secure file storage for Exchange files (CM Security Master, Order File, Margin File, Instrument File) and Depository files (Holding Statement, Client Master, Price File, Transactions File, ISIN Master) through the system for streamlined data ingestion and processing. This enhancement enables users to streamline data ingestion workflows and simplifies rule configuration for Capital Markets monitoring.
Significant upgrades have been made to the Rules Engine to improve flexibility, accuracy, and performance. The enhancements includes inclusion of detailed entity-level data for more precise rule evaluation, Backend API improvements to view, edit, and create new rules seamlessly, Transact Processor API and Cumulator enhancements for applying advanced logic directly to transactions. These enhancements provide greater control over the rule configuration, improve data granularity, and ensure more consistent rule execution across the system.
Implemented key technical optimizations to improve the scalability, speed, and reliability of core transaction monitoring components. These backend enhancements strengthen system performance and support more efficient rule execution.
Introduced a new set of Fraud Monitoring Rules designed in accordance with AFASA compliance guidelines to strengthen detection and prevention of suspicious activities within insurance transactions. These rules enhance the system’s ability to identify unusual or potentially fraudulent patterns in claim and premium behaviors.
1. High-Frequency Claim Payout Detection – Identifies users or entities processing unusually high volumes of claim payouts within a short timeframe.
2. Automated or Bot-Driven Claim Activity Detection – Flags patterns indicating the presence of automated or scripted claim submissions.
3. Cross-Border Premium Payment Anomaly – Detects inconsistencies or unusual behavior in cross-border premium transactions.
4. Behavioral Anomalies in Claim Amounts – Identifies deviations in claim amounts that differ significantly from historical behavior or peer averages.
5. Frequent Claims Alert – Raises alerts for customers or entities submitting claims at abnormally frequent intervals.
We’ve resolved several known issues to enhance overall application performance, delivering a more stable, responsive, and reliable user experience.
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