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DEFEND: AI Tools Fraudsters Use in 2025.
As generative AI tools become more powerful and accessible, they are also becoming a growing part of the fraudster’s arsenal. In this eye-opening webinar, we explore how malicious actors could exploit cutting-edge AI technologies—including deepfakes, synthetic identities, and voice cloning — to deceive systems and people at unprecedented scale.
We walk through real-world examples, such as a $25 million deepfake scam, and dive into the tools and techniques that are reshaping the fraud landscape. From underground markets selling AI-generated identities to automated phishing campaigns powered by LLMs, this session equips fraud prevention and AML professionals with the knowledge to stay ahead
Watch us to:
- Understand the threats
- Recognize red flags
- Begin building stronger defenses against AI-driven fraud
Meet the Speakers
Qing Han
Qing has been with Datavisor since 2019, initially joining as a research scientist and later taking on a leadership role as the head of the data science team. Leveraging her anti-fraud domain knowledge and advanced machine learning expertise, she develops innovative models to provide effective fraud management solutions to clients. Prior to joining DataVisor, Qing acquired extensive engineering experience across various projects spanning multiple disciplines. This diverse background has equipped her with a broad skill set and a holistic approach to problem-solving. Qing holds a PhD degree in engineering from the Massachusetts Institute of Technology (MIT).
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.