Best AML Software in India - Page 11

Tookitaki Anti-Money-Laundering Solutions: Adding power to your Compliance Lens Reduces false alarms by at least half for transaction monitoring programs. Reduces false alarms by at least 60% in screening programs. Reduces risk by increasing detection of true suspicious cases (SAR/STR), by 5%. Alerts are prioritized and handled more efficiently. Continuous automatic learning ensures high detection coverage in the face of growing data and changing regulations. Complex machine learning models and their outcomes are explained in an easy-to understand manner. Integration to existing and future up/downstream systems of the FI is easy with built-in connectors. Transaction Monitoring: We provide secondary scoring for the transaction monitoring process. Our semi-supervised approach is based on our proprietary semi-supervised method. It combines multi-dimensional unsupervised methods, network analysis, and supervised learning.

Anti-Money Laundering measures are enforced through a software procedure designed to adhere to the anti-money laundering laws established in Italy by law no. 197 on July 5, 1991, which has since been revised and expanded by various decrees and regulations, culminating in the latest Banca d'Italia Provision dated April 3, 2013, as noted in ordinary supplement no. 35 of Official Gazette no. 105 on April 7, 2013, while also implementing the guidelines set forth in Directive 2015/849/CE (the Fourth European Anti-Money Laundering Directive). This regulation affects numerous entities, particularly banks and financial intermediaries, mandating the creation of a Single Electronic Archive to document ongoing client relationships, transactions that meet or exceed a specified threshold, and transactions below that threshold that cumulatively reach the registration limit within a defined timeframe. Adhering to these regulations is essential for maintaining the integrity and transparency of the financial system, ensuring that all suspicious activities are monitored and reported appropriately.