Keys to Building a Good Fraud Strategy

During this webinar, Hao Li, DataVisor’s Vice President of Customer Success, will share examples of financial institutions who have built fraud strategies using these principles and lessons learned along the way. He will be covering a variety of topics including:

Characteristics of fraud attacks
Exploring common types of fraud
Understanding the power of segmentation
Developing an effective fraud strategy

Meet the Speakers

Hao Li

Chief Solution Architect

DataVisor

Hao Li is the Chief Solutions Architect & VP of Service at DataVisor. Hao has more than 10 years of experience in Big Data Analytics, Solution Architecture and Fraud Management. At DataVisor, Hao led the design, implementation and production support of 25+ enterprise fraud and risk mitigation projects in banking, fintech, e-commerce, travel, and gaming industries. Hao’s expertise in data orchestration, machine learning model utilization, strategy optimization, and review workflow automation has helped customers achieve significant reduction in fraud loss and improvement in risk mitigation efficiency.

About DataVisor

DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.

As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.