AI fraud is not just a concern, it's a pressing issue. As artificial intelligence technologies advance, fraudsters are developing increasingly sophisticated methods to exploit these systems. Typical forms of AI fraud include deepfakes, which use AI to create convincing fake images, audio, or videos for disinformation, blackmail, or identity theft, and advanced phishing schemes that leverage AI to craft highly personalized and deceptive messages. Addressing and understanding AI fraud is not just crucial, it's urgent for individuals, businesses, and governments to protect against these evolving threats.
Join Alejandro Leal and Pavel Goldman-Kalaydin, Head of AI and Machine Learning at Sumsub, as they delve into the growing issue of AI fraud.
Key Discussion Points:
- AI fraud global threat
- Deepfakes evolution
- How to protect your business
- Best practices in media
- AI regulation challenge
Chapters:
00:00 - Introduction and Background
01:13 - Understanding AI Fraud
02:11 - Examples of AI-Driven Fraud
08:02 - Global Trends in AI-Driven Fraud
13:55 - Preventing AI-Driven Fraud
18:11 - The Future Evolution of AI Fraud
22:38 - Conclusion and Final Thoughts
Sumsub is a full-cycle verification platform that secures the whole user journey. With Sumsub's customizable KYC, KYB, Transaction Monitoring and Fraud Prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs, and protect your business.
We have over 2,000 clients across the fintech, crypto, transportation, trading, e-commerce and gaming industries including Bitpanda, Wirex, Avis, Bybit, Huobi, Kaizen Gaming, and TransferGo.
Comments ( 0 )