Study of Advanced Fraud Tools in Banking

Summary#

This bill requires the Federal banking agencies to jointly study how advanced technologies (like AI, machine learning, behavioral biometrics, blockchain tools, and similar tools) are used to detect and prevent bank fraud. The study focuses especially on access and barriers for community financial institutions (small banks and credit unions). After the study, agencies must report findings and may start a voluntary pilot program to help community institutions access fraud tools.

• Main change: Mandates a joint, comprehensive study on advanced fraud detection technology and its use by insured depository institutions and credit unions.
• Focus: Use, effectiveness, barriers to adoption, AI/ML governance, information sharing, payments risk, and regulatory/supervisory issues.
• Deliverables: Report to Congress with findings and recommendations due within 18 months of enactment.
• Follow-up: Agencies may set up a voluntary pilot program for community financial institutions within one year after the report.
• Who runs it: The Federal banking agencies (as defined in law and explicitly including the National Credit Union Administration), in consultation with Treasury, FinCEN, FTC, CFPB, and law enforcement.

What it means for you#

• Community financial institutions (small banks and credit unions):

  • The study targets their access to modern fraud tools and will examine shared-service or consortium models that might lower costs.
  • They could be invited to participate in a voluntary pilot offering pooled procurement, technical help, and model-validation support.
  • The bill asks for recommendations aimed at tailoring regulatory guidance so smaller institutions are not discouraged from adopting technology.

• Large banks and credit unions:

  • They are included in the study so the report will compare technology deployment across institution sizes.
  • The study may lead to harmonized supervisory expectations or guidance that affects their fraud-detection practices.

• Consumers and account holders:

  • The bill aims to improve fraud detection and reduce losses, which could lower fraud-related harm to customers over time.
  • The report must consider privacy, data protection, and civil liberties when evaluating expanded information sharing.

• Payment system participants (clearing, settlement services):

  • The study examines whether advanced analytics can reduce fraud without harming settlement finality and system stability. Any resulting guidance could affect how payment providers detect fraud.

• Congress and regulators:

  • Congress will receive a public report (excluding classified or supervisory information) that may include legislative or regulatory recommendations and proposals for pilots or safe harbors.

Expenses#

No publicly available information.

• The bill text does not include a fiscal estimate or specific funding for the study or pilot.
• Possible costs that could arise (not estimated in the bill): agency staff time to conduct the study and run the pilot; contractor or consultant costs to perform technical analyses; costs to set up and run any shared-service platforms or consortiums; compliance and integration costs for participating institutions.
• The bill does not specify how those costs would be paid or whether Congress would appropriate money for them.

Proponents' View#

• The bill appears intended to assess how modern technology can reduce financial fraud and losses across the banking system.
• Supporters may argue the study will identify practical barriers (cost, interoperability, liability, data access) that stop smaller banks from using advanced tools.
• The bill could lead to recommendations for shared services, consortiums, or pooled procurement that lower costs for community institutions.
• It could promote clearer regulatory guidance or safe harbors for responsible AI use in fraud detection, helping institutions adopt tools with more regulatory certainty.
• A voluntary pilot could give smaller institutions concrete technical support (model validation, vendor templates, anonymized fraud data) to test and scale effective solutions.

Opponents' View#

• One concern is that the bill does not provide funding details. It is unclear who will pay for the study, the pilot, or any ongoing shared services.
• The bill envisions expanded information sharing and data feeds; this raises questions about privacy, data protection, and cybersecurity that the study must address but may not fully resolve.
• The report may recommend shared platforms or consortiums, but it is unclear how to prevent vendor lock-in, unequal cost-sharing, or competitive harms among institutions.
• The study may identify liability and regulatory uncertainty as barriers, but the bill does not require any specific legal protections or changes—only recommendations.
• Because the pilot is voluntary and discretionary, it may not produce broad or uniform benefits, leaving unanswered whether smaller institutions can sustain advanced tools after a pilot ends.