Congress funds fraud-detection tech study for smaller banks—but watch for vendor capture.

What it does

This bill directs federal banking regulators to study how banks and credit unions use advanced fraud-detection technologies (AI, machine learning, blockchain, etc.), with special focus on whether smaller community financial institutions can access and afford these tools. It also authorizes a voluntary 3-year pilot program to help smaller banks and credit unions deploy fraud-detection technology through shared services or pooled procurement.

Why we flagged it

The bill's operative mechanism is a mandated study plus an optional pilot program—both aimed at understanding and facilitating fraud-detection technology adoption. It is not a deregulation, subsidy, or immunity grant; it is investigative and facilitative infrastructure.

What the text implies

• The pilot program's 'pooled procurement' and 'shared services' language may create de facto consortia that could facilitate data-sharing arrangements between competitors, potentially raising antitrust questions if not carefully structured.
• The bill's emphasis on 'regulatory clarity' and 'safe harbors' for AI/ML fraud detection may result in supervisory guidance that inadvertently shields financial institutions from liability for algorithmic errors or bias in fraud detection, shifting risk to consumers.
• Anonymized fraud typology data feeds from law enforcement could become a valuable asset for private vendors and larger banks, creating an indirect subsidy to firms that can best exploit the data.
• The 18-month study timeline and 3-year pilot sunset may be too short to generate meaningful evidence on long-term fraud reduction or unintended consequences, risking premature regulatory decisions.

Section numbers refer to the bill text the analysis read — linked under Primary records below.

Who it affects

The bill funds research and pilot programs aimed at reducing fraud losses that harm depositors and consumers, with explicit attention to ensuring smaller institutions can participate—preventing a two-tier system where only large banks have fraud protection. No restrictions on consumer rights or remedies are imposed; the bill is purely investigative and facilitative.

Who stands to gain

• fintech fraud-detection vendors
• AI/machine learning software providers
• large banks (via regulatory clarity and safe harbors)
• managed-service providers and consultants

Named in the bill

Federal Reserve, FDIC, OCC, NCUA, FinCEN, FTC, CFPB, FCC, Department of Treasury, community financial institutions, credit unions, insured depository institutions

Where it stands

1 cosponsor: 1 Democrats.

• May 7, 2026 — Introduced · Congress.gov: “Introduced in House”
• May 7, 2026 — Referred to House Committee on Financial Services · Congress.gov: “Referred to the House Committee on Financial Services”
• May 13, 2026 — Markup held in committee · Congress.gov: “Committee Consideration and Mark-up Session Held”
• May 13, 2026 — Reported out of committee · Congress.gov: “Ordered to be Reported (Amended) by the Yeas and Nays: 52 - 1”

Dates and quoted wording are Congress.gov's action record; the timeline shows status changes, not every procedural step.

Money around this bill

3 lobbying clients named this bill on 3 disclosure filings across 1 quarter, Jun 2026 to Jun 2026. Those filings disclosed $5,530,000 in lobbying spend. A filing names 34 bills on average, so that figure is what each filing reported, not a share belonging to this bill.

More lobbying clients named this bill than 61% of bills with at least one filing.

Mike Flood, the sponsor, reported $1,190,756 in PAC receipts in the 2026 cycle.

• National Multifamily Housing Council Inc — $2,330,000 on 1 filing
• Independent Community Bankers of America — $2,170,000 on 1 filing
• Consumer Bankers Association — $1,030,000 on 1 filing

Lobbying Disclosure Act filings through Jul 20, 2026. A filing shows who paid to lobby on a bill it names, not what changed.