DEFEND WEBINAR | Stablecoins and Blockchain: Regulation, Fraud Risk, and Decentralization

Length: 30 minutes

As stablecoins move into everyday financial flows, their built-in transparency creates a rare opportunity for banks and fintechs to see risk earlier, detect patterns faster, and strengthen fraud and AML defenses in ways traditional payment rails simply can’t support.

  • How stablecoin transparency changes detection
    Why on-chain data can reveal patterns that are invisible in card, ACH, or wire payments.
  • Where fraud still succeeds—and why
    Common schemes and laundering paths that exploit operational gaps, not blockchain anonymity.
  • How to turn decentralization into a defensive edge
    Practical ways to use crypto-native signals and analytics to improve fraud and AML outcomes.

Meet the Speakers

Hao Li

Chief Solution Architect
DataVisor

Hao Li is the Chief Solutions Architect & VP of Service at DataVisor. Hao has more than 10 years of experience in Big Data Analytics, Solution Architecture and Fraud Management. At DataVisor, Hao led the design, implementation and production support of 25+ enterprise fraud and risk mitigation projects in banking, fintech, e-commerce, travel, and gaming industries. Hao’s expertise in data orchestration, machine learning model utilization, strategy optimization, and review workflow automation has helped customers achieve significant reduction in fraud loss and improvement in risk mitigation efficiency.

Kamal Hubbard

Founder
CageChain Media Group cagechain.io

Kamal Hubbard is the founder CageChain Media Group. He is also an author, strategic thinker, and financial technology advocate. He is certified in fraud prevention, cybersecurity, and decentralized finance, with deep expertise in distributed ledger technologies, decentralized finance (DeFi), and digital assets. Kamal is an Internet Computer Protocol US Hub Ambassador and has contributed to the Blockchain Advocacy Coalition, supporting California legislation AB 2658 and SB 838. Kamal is dedicated to advancing the adoption of decentralized technologies and educating communities on their transformative potential. He has extensive experience hosting podcasts on emerging technologies and engaging audiences with compelling narratives about AI and Web3. Kamal’s work bridges technical precision with community impact, making him a trusted voice in conversations about innovation, transparency, and fraud prevention.

About DataVisor

DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.
As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.