Webinar Overview

Anti-Money Laundering (AML) transaction monitoring has evolved significantly over the past decade. Traditional rule-based systems generated a high volume of alerts, many of which were false positives, making it difficult for compliance teams to identify genuine financial crime. Modern transaction monitoring strategies shift the focus from simply generating alerts to taking timely, risk-based actions by leveraging advanced analytics, artificial intelligence (AI), machine learning (ML), and real-time monitoring.

Who should attend?

CRO, Head Risk & Fraud Unit, Chief Compliance Officer, CIO, CISO, Head Audit, CFO etc.

Why to attend?

Key benefits include:

• Understand the evolution of AML transaction monitoring from rule-based systems to intelligent, risk-based frameworks.
• Learn how Artificial Intelligence (AI), Machine Learning (ML), and behavioral analytics improve the detection of suspicious activities while reducing false positives.
• Explore best practices for real-time monitoring, dynamic risk scoring, and automated case management.
• Gain insights into emerging trends, including network analytics, blockchain monitoring, and explainable AI in AML.
• Discover practical strategies to improve compliance, operational efficiency, and regulatory readiness.
• Learn from industry experts through real-world examples, implementation challenges, and proven solutions.

Speaker

Tanmay Banerjee

Founder & CEO

CyProTorus Pvt. Ltd.