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DEFEND WEBINAR | AI Agents for Fraud & AML: A New Era of Detection and Strategy Optimization
Length: 30 minutes
Artificial intelligence is rapidly reshaping financial services, but many fraud and AML teams still struggle to translate AI interest into real operational impact. While leaders recognize the need to adopt AI, implementation challenges and operational complexity often slow progress.
In this DEFEND webinar, DataVisor experts explore how AI Agents can help fraud and AML teams build, optimize, and manage detection strategies more effectively. By combining conversational AI with intelligent automation, analysts can create rules, refine strategies, and reduce false positives more efficiently.
In this session, you’ll learn:
- Why many fraud and AML teams face an AI readiness gap
- The key barriers slowing AI adoption in fraud operations
- How AI Agents can assist with rule creation, strategy optimization, and detection tuning
- How conversational AI can help teams move faster and improve fraud detection outcomes
- A demo of DataVisor’s AI Agent designed to help institutions operationalize AI in fraud and AML programs
Meet the Speakers
Fang Yu
An accomplished researcher, author, and conference contributor, Fang Yu is widely-regarded as one of the most influential figures in the fields of artificial intelligence, machine learning, and big data security. Fang currently holds over 20 patents.
Antenor Neto
Antenor Neto is a Product Marketing Manager at DataVisor. He holds an MBA from the Kellogg School of Management, where he studied AI and Machine Learning. Neto has worked with AI startups across different industries such as investor relations, ad-tech, and sports-tech, following six years in marketing at AB InBev.