National Fraud Initiative

Reports, guidance and case studies for the National Fraud Initiative (NFI), a data matching exercise that helps prevent and detect fraud.

The National Fraud Initiative (NFI) is an exercise that matches electronic data within and between public and private sector bodies to prevent and detect fraud.

Please note: bodies in Northern Ireland, Scotland and Wales should refer to the Northern Ireland Audit Office, Audit Scotland and Wales Audit Office websites for more information about taking part in the NFI.

Working with the National Fraud Initiative

Information about working with the NFI, including timescales, case studies, obligations under the Data Protection Act and general guidance.

View the privacy notice full text and contact details for the NFI.

Public sector

Information for public sector bodies, including data requirements and specifications, fees and details of additional services that are available.

Private sector

About the National Fraud Initiative

National Fraud Initiative reports

Press releases

Published 20 March 2015
Last updated 2 April 2024 + show all updates
  1. Added a link to the page: National Fraud Initiative 2024 to 2025: work programme and fees

  2. Added additional link in the press release section to page: More than £400m saved as government takes fight to public purse bandits

  3. Added link to consultation on proposed work programme and scale of fees for 2022 to 2023.

  4. Addition of "Consultation on the expansion of the National Fraud Initiative (NFI) Data Matching Powers and the new Code of Data Matching Practice".

  5. Updated with press release: "Benefits fraudsters are shown the red light by government scheme"

  6. Addition of the consultation 'National Fraud Initiative 2020 to 2021: programme and fees'.

  7. Added 'Press releases' group and linked press release.

  8. Content updated.

  9. Added consultation

  10. Added National Fraud Initiative report November 2016.

  11. Added link to National Fraud Initiative 2016/17: programme and fees

  12. First published.