Synthetic identity fraud has long been a challenge for FIs, but the integration of generative AI capabilities threatens to significantly amplify this threat. The ability to create more convincing fraudulent identities at scale, coupled with deepfake technologies that can bypass biometric verification systems, creates a concerning outlook for 2025 and beyond.
This report examines how the emergence of AI-powered tools is reshaping the synthetic identity fraud landscape, presenting novel risks that may not be immediately apparent through traditional detection methods. The research is based upon qualitative, in-depth interviews with fraud prevention professionals at U.S. FIs.
Clients of Datos Insights’ Fraud & AML service can download this report.
About the Author

Jim Mortensen
Jim Mortensen is a Strategic Advisor in Datos Insights’ Fraud & AML practice, covering identity, fraud, and data security issues. Jim has been in the financial services industry for over 30 years, delivering fraud prevention, identity verification, and credit underwriting solutions to top-tier financial institutions both domestically and internationally. Through his experience in the industry, he has developed a substantial...