Identify hidden vulnerabilities and implement robust security controls to mitigate emerging fraud threats across mobile wallets, P2P transfers, and modern alternative payment channels.
Digital wallets and alternative payment systems are now embedded across consumer, commercial, and cross-border transactions, reshaping how value is stored, transferred, and recorded. Their rapid adoption has introduced new risks for fraud, misappropriation, concealment, and regulatory non-compliance, while simultaneously reducing the visibility traditionally relied upon by auditors, fraud examiners, and forensic accountants.
This course examines how alternative payment systems operate in practice, including the underlying wallet structures, transaction flows, and integration with virtual currencies and cryptocurrency. It focuses on the practical implications for fraud risk assessment, audit planning, and forensic analysis, rather than on consumer use cases or technical hype.
Participants will develop a clearer understanding of how these systems are exploited, where controls commonly fail, and how evidentiary challenges arise when digital wallets appear in fraud investigations, financial examinations, or audit engagements. The session is designed to support sound professional judgement when confronting non-traditional payment activity in complex cases.
CEO | MyKey Technologies
Dr. David Utzke is a pioneering innovator in blockchain-based AI systems and decentralized data intelligence. His work synthesizes emerging technologies with financial systems to create secure, autonomous frameworks for digital asset management, DeFi, and identity verification. With more than a decade serving at the U.S. Treasury’s IRS Cyber Crimes Unit, Dr. Utzke has led groundbreaking cases in digital forensics and decentralized finance. With experience spanning economics, cryptography, and machine learning, Dr. Utzke’s disruptive vision focuses on establishing transparent, human-centered technology that bridges the gap between AI and trust in digital transactions.
