Loading...

Why Synthetic Identities Are a Risk to Your Firm

Published: May 10, 2016 by Guest Contributor

sythentic identity

This article first appeared in Baseline Magazine

Since it is possible for cyber-criminals to create a synthetic person, businesses must be able to differentiate between synthetic and true-party identities.

Children often make up imaginary friends and have a way of making them come to life. They may come over to play, go on vacation with you and have sleepover parties. As a parent, you know they don’t really exist, but you play along anyway. Think of synthetic identities like imaginary friends.

Unfortunately, some criminals create imaginary identities for nefarious reasons, so the innocence associated with imaginary friends is quickly lost.

Fraudsters combine and manipulate real consumer data with fictitious demographic information to create a “new” or “synthetic” individual. Once the synthetic person is “born,” fraudsters create a financial life and social history that mirrors true-party behaviors. The similarities in financial activities make it difficult to detect good from bad and real from synthetic.

There really is no difference in the world of automated transaction processing between you and a synthetic identity. Often the synthetic “person” is viewed as a thin or shallow file consumer— perhaps a millennial.

I have a hard time remembering all of my own passwords, so how do organized “synthetic schemes” keep all the information usable and together across hundreds of accounts? Our data scientists have found that information is often shared from identity to identity and account to account.

For instance, perhaps synthetic criminals are using the same or similar passwords or email addresses across products and accounts in your portfolio. Or, perhaps physical address and phone records have cross-functional similarities. The algorithms and sciences are much more complex, but this simplifies how we are able to link data, analytics, strategies and scores.

Identifying the Business Impact of Synthetic-Identity Fraud

Most industry professionals look at synthetic-identity fraud as a relatively new fraud threat. The real risk runs much deeper in an organization than just operational expense and fraud loss dollars.

Does your fraud strategy include looking at all types of risk, compliance reporting, and how processes affect the customer experience? To identify the overall impact synthetic identities can have on your institution, you should start asking:

  • Are you truly complying with “Know Your Customer” (KYC) regulations when a synthetic account exists in your active portfolio?
  • Does your written “Customer Identification Program” (CIP) include or exclude synthetic identities?
  • Should you be reporting this suspicious activity to the compliance officer (or department) and submitting a suspicious activity report (SAR)?
  • Should you charge off synthetic accounts as credit or fraud losses?
  • Which department should be the owner of suspected synthetic accounts: Credit Risk, Collections or Fraud?
  • Do you have run any anti-money laundering (AML) risk when participating in money movements and transfers?

Depending on your answers to the above questions, you may be incurring potential risks in the policies and procedures of synthetic identity treatment, operational readiness and training practices.

Since it is possible to create a synthetic person, businesses must be able to differentiate between synthetic and true-party identities, just as parents need to differentiate between their child’s real and imaginary friends.

Related Posts

Fake IDs have been around for decades, but today’s fraudsters aren’t just printing counterfeit driver’s licenses — they’re using artificial intelligence (AI) to create synthetic identities. These AI fake IDs bypass traditional security checks, making it harder for businesses to distinguish real customers from fraudsters. To stay ahead, organizations need to rethink their fraud prevention solutions and invest in advanced tools to stop bad actors before they gain access. The growing threat of AI Fake IDs   AI-generated IDs aren’t just a problem for bars and nightclubs; they’re a serious risk across industries. Fraudsters use AI to generate high-quality fake government-issued IDs, complete with real-looking holograms and barcodes. These fake IDs can be used to commit financial fraud, apply for loans or even launder money. Emerging services like OnlyFake are making AI-generated fake IDs accessible. For $15, users can generate realistic government-issued IDs that can bypass identity verification checks, including Know Your Customer (KYC) processes on major cryptocurrency exchanges.1 Who’s at risk? AI-driven identity fraud is a growing problem for: Financial services – Fraudsters use AI-generated IDs to open bank accounts, apply for loans and commit credit card fraud. Without strong identity verification and fraud detection, banks may unknowingly approve fraudulent applications. E-commerce and retail – Fake accounts enable fraudsters to make unauthorized purchases, exploit return policies and commit chargeback fraud. Businesses relying on outdated identity verification methods are especially vulnerable. Healthcare and insurance – Fraudsters use fake identities to access medical services, prescription drugs or insurance benefits, creating both financial and compliance risks. The rise of synthetic ID fraud Fraudsters don’t just stop at creating fake IDs — they take it a step further by combining real and fake information to create entirely new identities. This is known as synthetic ID fraud, a rapidly growing threat in the digital economy. Unlike traditional identity theft, where a criminal steals an existing person’s information, synthetic identity fraud involves fabricating an identity that has no real-world counterpart. This makes detection more difficult, as there’s no individual to report fraudulent activity. Without strong synthetic fraud detection measures in place, businesses may unknowingly approve loans, credit cards or accounts for these fake identities. The deepfake threat AI-powered fraud isn’t limited to generating fake physical IDs. Fraudsters are also using deepfake technology to impersonate real people. With advanced AI, they can create hyper-realistic photos, videos and voice recordings to bypass facial recognition and biometric verification. For businesses relying on ID document scans and video verification, this can be a serious problem. Fraudsters can: Use AI-generated faces to create entirely fake identities that appear legitimate Manipulate real customer videos to pass live identity checks Clone voices to trick call centers and voice authentication systems As deepfake technology improves, businesses need fraud prevention solutions that go beyond traditional ID verification. AI-powered synthetic fraud detection can analyze biometric inconsistencies, detect signs of image manipulation and flag suspicious behavior. How businesses can combat AI fake ID fraud Stopping AI-powered fraud requires more than just traditional ID checks. Businesses need to upgrade their fraud defenses with identity solutions that use multidimensional data, advanced analytics and machine learning to verify identities in real time. Here’s how: Leverage AI-powered fraud detection – The same AI capabilities that fraudsters use can also be used against them. Identity verification systems powered by machine learning can detect anomalies in ID documents, biometrics and user behavior. Implement robust KYC solutions – KYC protocols help businesses verify customer identities more accurately. Enhanced KYC solutions use multi-layered authentication methods to detect fraudulent applications before they’re approved. Adopt real-time fraud prevention solutions – Businesses should invest in fraud prevention solutions that analyze transaction patterns and device intelligence to flag suspicious activity. Strengthen synthetic identity fraud detection – Detecting synthetic identities requires a combination of behavioral analytics, document verification and cross-industry data matching. Advanced synthetic fraud detection tools can help businesses identify and block synthetic identities. Stay ahead of AI fraudsters AI-generated fake IDs and synthetic identities are evolving, but businesses don’t have to be caught off guard. By investing in identity solutions that leverage AI-driven fraud detection, businesses can protect themselves from costly fraud schemes while ensuring a seamless experience for legitimate customers. At Experian, we combine cutting-edge fraud prevention, KYC and authentication solutions to help businesses detect and prevent AI-generated fake ID and synthetic ID fraud before they cause damage. Our advanced analytics, machine learning models and real-time data insights provide the intelligence businesses need to outsmart fraudsters. Learn more *This article includes content created by an AI language model and is intended to provide general information. 1 https://www.404media.co/inside-the-underground-site-where-ai-neural-networks-churns-out-fake-ids-onlyfake/

Published: March 20, 2025 by Julie Lee

Financial institutions can help protect clients by educating them on the warning signs of fraudulent lottery scams.

Published: March 12, 2025 by Alex Lvoff

Discover how data analytics in utilities helps energy providers navigate regulatory, economic, and operational challenges. Learn how utility analytics and advanced analytics solutions from Experian can optimize operations and enhance customer engagement.

Published: March 10, 2025 by Stefani Wendel