To amend title 38, United States Code, to establish in the Department of Veterans Affairs a Veterans Scam and Fraud Evasion Officer, and for other purposes.
Sponsors
Legislative Progress
IntroducedMr. Cornyn (for himself, Ms. Hassan, Mr. Boozman, and Mr. …
Summary
What This Bill Does
The Veterans Scam And Fraud Evasion (VSAFE) Act of 2025 creates a new official position within the Department of Veterans Affairs called the "Veterans Scam and Fraud Evasion Officer." This officer will be responsible for preventing fraud targeting veterans, coordinating with other federal agencies on anti-fraud efforts, and serving as a central resource for veterans who encounter scams. The bill also extends a deadline for certain pension payment limits by two months, from November 30, 2031 to January 30, 2032.
Who Benefits and How
Veterans, their families, caregivers, and survivors are the primary beneficiaries. They gain a dedicated point of contact for fraud prevention, access to the VSAFE Fraud Hotline and VSAFE.gov website, standardized guidance on identifying and avoiding scams, and coordinated protection of their identities and benefits. The bill creates infrastructure specifically designed to protect this population from financial exploitation.
Veterans service organizations and state/local governments also benefit through improved coordination and consultation mechanisms that help them better understand and address fraud risks facing veterans in their communities.
Who Bears the Burden and How
The Department of Veterans Affairs takes on new administrative responsibilities including establishing the VSAFE Officer position, developing training programs, monitoring fraud metrics, and coordinating with multiple federal agencies. However, the bill explicitly states that no new full-time employees are authorized, meaning these responsibilities must be absorbed within existing staffing levels.
Multiple federal agencies (IRS, DOJ, State, CFPB, DOD, Education, SSA, and others) face new coordination requirements to develop a "whole-of-government" approach to veteran fraud prevention.
Key Provisions
- Creates a Veterans Scam and Fraud Evasion Officer within the VA responsible for fraud prevention, reporting, and incident response
- Establishes the VSAFE Fraud Hotline and VSAFE.gov website as central fraud reporting and assistance resources
- Requires coordination with the VA Inspector General and at least 9 other federal agencies on fraud prevention
- Mandates development of fraud monitoring metrics, data analytics, and training programs for VA employees
- Preserves the Inspector General's existing authority and prohibits increasing VA headcount to implement these changes
- Extends the deadline for certain pension payment limits by two months (November 30, 2031 to January 30, 2032)
Evidence Chain:
This summary is derived from the structured analysis below. See "Detailed Analysis" for per-title beneficiaries/burden bearers with clause-level evidence links.
Primary Purpose
The bill aims to establish a Veterans Scam and Fraud Evasion Officer within the Department of Veterans Affairs, responsible for fraud prevention, reporting, and response, as well as providing resources and guidance to veterans and their families.
Policy Domains
Bill Structure & Actor Mappings
Who is "The Secretary" in each section?
- "the_secretary"
- → Secretary of Veterans Affairs
- "the_inspector_general"
- → Inspector General of the Department of Veterans Affairs
Key Definitions
Terms defined in this bill
An officer responsible for fraud prevention, reporting, and response within the Department of Veterans Affairs.
The bill extends the deadline for certain limits on pension payments from November 30, 2031 to January 30, 2032.
A hotline established by the Department to receive fraud reports and provide assistance to veterans.
We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.
Learn more about our methodology