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"White paper: Stemming the tide on the new era of AI-driven fraud"

Discover how to strengthen identity verification, improve data accuracy, and stay ahead of rapidly evolving AI-powered fraud threats.

UK financial institutions, along with those worldwide, are facing a surge in highly sophisticated AI-driven fraud.

They experienced a record 3.31 million fraud cases in 2024, a 12% rise on 2023, propelled largely by AI-enabled synthetic identity attacks. And over 35% of UK businesses reported being targeted by AI-related fraud in Q1 2025, up from 23% the previous year.

This white paper explores the key data-driven technologies and tools that strengthen identity verification and reduce fraud in the age of generative AI.

Readers will find out:

• How location intelligence strengthens fraud prevention: Geolocation data has become a critical tool for financial institutions to verify applicants during onboarding.
• How to identify hidden inconsistencies in identity data: By undertaking name-to-address matching to prevent the growing scourge of synthetic ID fraud.
• The importance of verifying address data: To ensure the legitimacy of the address provided by applicants.
• How to validate phone, email and address data: Outdated phone numbers and email addresses, for example, create gaps fraudsters can exploit for fraudulent purposes.
• The vital role of national change of address (NCOA) data, and obtaining data on deceased: To block fraud at source.
• The importance of plug-and-play low code solutions: These can improve data quality, as well as modernise identity verification quickly and cost effectively.

As AI-driven fraud accelerates across the financial sector, UK financial institutions must evolve beyond their traditional defences.

Download this white paper to find out how obtaining high-quality data improves decision making accuracy, strengthens KYC/AML compliance, and underpins the effectiveness of detecting fraud in an increasingly AI world.

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