Cryptocurrency Fraud
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Finance & Banking
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Fraud Management & Cybercrime
Millisecond Detection and Layered Controls Will Shape Future Payment Security
Stablecoin adoption will reshape fraud prevention in financial services. Institutions must deploy artificial intelligence systems that evaluate transactions instantly and flag suspicious activity before authorization. Sean Ren, associate professor of computer science at the University of South California, explained how faster AI and layered defenses will protect digital payments.
See Also: Experts Offer Insights from Theoretical to the Realities of AI-enabled Cybercrime
Instead of allowing suspicious payments and relying on reversals later, AI systems must aggressively flag potential threats before funds move, Ren said.
“Since these transactions are irreversible, we are asking the AI model to have very high recall. In simple terms, we would rather forcibly kill transactions than let a suspicious or problematic transaction happen,” he said.
In this video interview with Information Security Media Group, Ren also discussed:
- How AI fraud detection models change when stablecoin transactions are involved;
- Creating detection systems that prioritize high recall and block more suspicious transactions;
- How open blockchain transaction data can improve AI fraud detection.
Ren, an associate professor of computer science at the USC, also serves as CEO and co-founder of Sahara AI, a decentralized AI ecosystem. He leads Sahara AI’s mission to advance decentralized AI infrastructure and applications.

