Loading...

The Future of Fraud: Caught in a Bad Romance (Scam)

Published: August 18, 2022 by Guest Contributor

Reports of romance scams have spiked in the past two years, partly due to the rise in popularity of online dating and social apps while Americans were isolated at home. With more consumers looking for love online, fraudsters have jumped on the chance to build intimate, trusted relationships without the immediate pressure to meet in person. And these shams seemingly paid off: from January 1 to July 31, 2021, the Federal Bureau of Investigation (FBI) Internet Crime Complaint Center received over 1,800 complaints related to an online romance scam, resulting in losses of approximately $133 million.

These romance scams carry financial and security risks that impact both the targets of the fraud and the businesses with which they interact. Experian predicts that romance scams will continue to rise in 2022, leaving consumers and businesses vulnerable to attacks and theft.

What is a romance scam?

According to the FBI, a romance scam occurs when “a criminal adopts a fake online identity to gain a victim’s affection and trust.” Typically, fraudsters seek out their marks in dating or socializing settings, such as online apps, and strive to build intimacy and trust as quickly as possible. To avoid suspicion, they may claim that they travel frequently for work or give other excuses about why they can’t meet in person. Their attentions are in the context of love and dating, so it’s not uncommon for romance scammers to offer marriage proposals or other commitments to intensify the relationship, but the whole point of this fraud is to get their targets to send money.

Sometimes fraudsters simply ask for a “loan” to cover medical expenses, an unforeseen shortfall or even travel costs to see the victim in person. Other times, they might ask for gifts or gift cards. Requests for money ­– whether through direct deposit, gift cards or credit card payments – are all red flags. Increasingly, romance scammers have tried to lure people into investment deals, including cryptocurrency.

Romance scams predate the internet by centuries, but the emergence of digital technologies has made them easier to accomplish – and easier to get away with, too.

Romance scams are increasing

In 2020, there were around 44 million users of online dating services in the United States and this increased to 49 million users in 2021, according to Statista Research Department. By 2022, two years into the COVID-19 pandemic, that number jumped to more than 50 million, and it’s projected to rise to 53.3 million by 2025.

More users mean more potential targets. According to the Federal Trade Commission (FTC), romance scams hit a record high in 2021, with consumers reporting $547 million in losses that year ­– up 80 percent from 2020. The median individual loss reported to the FTC from romance scams was $2,400.

With the help of modern technologies, romance scammers have added new tactics to their grift. For example, in addition to usual requests for money, a target might be asked to participate in bogus investment schemes involving cryptocurrency. In these cases, the median loss was $10,000.

According to the FTC, romance scammers have conned Americans out of an estimated $1.3 billion over the past five years.

Worryingly, romance scams also present a serious data risk. Damage could spread beyond financial losses into even more hazardous territory if the scammer can gain access to a target’s personally identifiable information (PII) or financial data. In these cases, fraudsters might engage in identity theft to create new accounts or take over existing ones.

Breaking up with romance scammers

Businesses may not be susceptible to the lure of love, but they’re still vulnerable when it comes to the fallout from romance scams. Companies must ensure they have a layered solution that seamlessly recognizes returning customers, while monitoring for indicators that the user presenting an identity is not actually the owner of that identity. Some warning signs include logins from a new IP address nowhere near the user’s registered physical address; unusual types or frequencies of transactions; and the addition of a suspicious new authorized user to a credit card account.

Businesses also have access to fraud prevention help. Using vast data resources, decades of identity and credit risk management, consumer-permissioned data and industry-leading analytics, Experian enables businesses to detect and prevent fraud by identifying credible customers. This empowers businesses to apply the appropriate amount of friction to each interaction to protect their customers, their data and themselves.

To learn more about how Experian is assisting businesses with their fraud prevention efforts, visit us or request a call. And keep an eye out for additional in-depth explorations of our Future of Fraud Forecast.

Future of Fraud Forecast Fraud Prevention

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

Subscribe to our blog

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Experian Insights blog

Don't miss out on the latest industry trends and insights!
Subscribe