In this NYSE Live interview from Money20/20 USA, Sam Bobley, CEO of Aurolis, discusses how artificial intelligence is reshaping fraud prevention, lending verification, and risk management across financial services.

J.D. Durkin spoke with Bobley about deepfake documents, fraud detection, agentic AI, financial verification, compliance requirements, and emerging challenges facing lenders.

A significant portion of the discussion focuses on the rise of AI-generated fraud. Generative AI tools have made it easier for bad actors to create highly realistic financial documents, increasing the challenge of distinguishing authentic records from manipulated content.

The interview also explores how traditional manual fraud review methods are becoming less effective as AI-generated documents continue improving in quality and sophistication.

Another major theme is the need for advanced verification technology. Financial institutions increasingly require automated systems capable of analyzing documents, assessing authenticity, and identifying fraud indicators at scale.

The conversation further examines how Aurolis combines artificial intelligence with lending-specific controls and verification methodologies to improve risk assessment.

The interview also highlights the growing prevalence of deepfake financial records, including manipulated bank statements, altered income documentation, and synthetic business records.

Another key topic is regulatory compliance. Lending institutions must balance AI innovation with governance frameworks designed to ensure reliability, transparency, and accountability.

The discussion also explores the role of Fannie Mae and Freddie Mac in shaping expectations around AI adoption within mortgage and lending workflows.

Additionally, Bobley discusses how deterministic validation systems can help organizations reduce risk while leveraging advanced AI capabilities.

The conversation further examines the role of agentic AI in fraud prevention. AI agents can automate investigations by gathering information, cross-referencing data sources, evaluating inconsistencies, and producing risk assessments.

Another focus is small-business lending. Advanced fraud detection systems can analyze business operations, transaction patterns, digital presence, online reviews, and geographic information to support underwriting decisions.

The interview also highlights how multiple data signals can be combined to provide more comprehensive and accurate fraud assessments.

Looking ahead, Bobley expects financial institutions to continue investing in AI-powered fraud prevention platforms, identity verification tools, compliance systems, and intelligent automation technologies.

Throughout the discussion, Bobley shares perspectives on artificial intelligence, fraud prevention, deepfakes, document verification, lending technology, compliance, financial services, agentic AI, risk management, and fintech innovation.

Disclaimer: Informational content only. NYSE does not endorse or recommend investments, strategies, companies, products, or services discussed.

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