Face Verification for Banks: Securing Customer Identity Against Fraud and Financial Crime
Today’s fraud and financial crime controls were built to catch stolen credentials, unfamiliar devices, and unusual behavior. They analyze the information around an identity, but they don’t confirm the identity itself, and generative AI has made that gap easy to exploit.
Retail banks, investment banks, wealth management firms, payment providers, and cryptocurrency exchanges now face a fraud landscape reshaped by synthetic identities, injection attacks, and AI-generated deepfakes. At the same time, they still need to onboard genuine customers quickly and keep fraud prevention from becoming a source of friction and abandonment.
This guide takes a closer look at how face verification and liveness detection help banks validate real identities at onboarding, defend against injection attacks and deepfakes, and secure authentication and account recovery across the customer lifecycle.
How can face verification protect your customers and your bottom line?
What’s inside the guide:
- How synthetic identity fraud and injection attacks defeat database checks and document verification
- What separates presentation attacks from injection attacks, and the standards (iBeta, FIDO Alliance, CEN TS 18099) banks should use to evaluate vendors
- How face verification improves onboarding conversion, secures authentication, and enables self-serve account recovery