Ready to dive deep into the world of online security and identity verification? In this episode, I sit down with Vyacheslav Zholudev from Sumsub to discuss user verification, fraud detection, and the role of machine learning in ensuring the safety of digital interactions. Vyacheslav is the co-founder and CTO of Sumsub, an online verification platform that secures the whole user journey using innovative transaction monitoring and fraud prevention solutions.

In our conversation, Vyacheslav discusses the evolution of Sumsub, its role in online identity verification, and the challenges posed by deepfakes in the digital world. We explore the cat-and-mouse game against the rising threat of deepfakes, the pivotal role of machine learning in user verification, the challenges posed by generative AI advancements, the ethical considerations in combating biases, and much more. Tune in and discover the future of user verification with Vyacheslav Zholudev from Sumsub!

Key Points:

• Vyacheslav's background and the journey that led to the creation of Sumsub.
• Evolution of Sumsub from an anti-Photoshop project to a user verification platform.
• Hear why online user verification is vital for implementing digital features.
• Sumsub’s overall mission and shifting from physical to online identity verification.
• The crucial role of machine learning in Sumsub’s user verification technology.
• How the latest generative AI advancements impact user verification efficiency.
• Implications of deepfakes on society and their potential to facilitate fraud.
• Approaches and techniques used by Sumsub to detect and combat deepfakes.
• Continuous learning and adaptation in the rapidly evolving field of machine learning.
• Ethical concerns and potential biases in models trained for fraud detection.
• Monitoring and preparing to address potential bias in Sumsub’s models.
• Advice for leaders of AI-powered startups and Sumsub's future goals.

Quotes:

“Basically, [machine learning] is everywhere. I can’t imagine that our company could exist without machine learning and different algorithms in this area.” — Vyacheslav Zholudev

“It was really expensive and difficult to create a deepfake that looks realistic. Nowadays, you can do it with a click of a button on your smartphone. That became a problem [for user verification].” — Vyacheslav Zholudev

“We have a very strong machine learning team and we’re really focusing a lot nowadays on fighting those deepfakes, trying new and new ways how we can protect ourselves and our customers against them.” — Vyacheslav Zholudev

“Think like a hacker and don’t compromise security. Don’t think that some things won’t be revealed, they will.” — Vyacheslav Zholudev

Links:

Vyacheslav Zholudev on LinkedIn

Sumsub

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