AI increases the risk of payment fraud

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The fight against payment fraud is not likely to get any easier this year, and some experts acknowledge it could become even more difficult as artificial intelligence creates new threats.

American consumers and businesses remain prime targets for fraudsters who prey on their victims through schemes such as duplicitous scammer scams, check laundering operations, and synthetic identity schemes. The Genius Act introduced stablecoins for payments and the increasing acceptance of digital assets in the market could provide yet another avenue of leverage.

Even as the payments industry embraces AI for agent commerce, the criminal use of artificial intelligence is expected to skyrocket in 2026, as deepfakes have the potential to make fraudsters more sophisticated. As companies strive for AI superiority, the transition period will vacillate between positive prospects and dangerous possibilities.

“Where there is disruption, there is opportunity,” industry consultant Peter Tapling said of the emergence of AI. “Things are moving quickly, but it’s going to take time,” he said in an interview Monday. He explained that the AI ​​era has rapidly arrived in the industry, but it is still in its infancy.

Classic fraud types, such as check tampering, remain a problem despite President Donald Trump’s policies. last year’s presidential order Forced the federal government to stop sending paper checks. According to , nearly two-thirds of businesses will experience check fraud in 2024, making it the most commonly cited fraud method that year. Latest research on this topic From the Association of Financial Professionals.

Nevertheless, this year the industry will likely focus on new emerging threats. The payments industry is definitely excited about AI-powered agent commerce and the potential to create agents that not only shop but also purchase goods and services on behalf of consumers and businesses. Card networks, processors and fintechs are racing to take advantage of potentially rising payment volumes.

At the same time, AI poses risks to the industry. Criminals have already made great strides in industrializing their fraud schemes and expanding their attacks. AI now makes it possible to target victims with more believable attacks, potentially trying to trick them into sending money under false pretenses.

How AI is benefiting fraudsters

“Bad actors are better at imitating trusted contacts to increase the personalization and persuasiveness of payment fraud,” said Colin Parsons, head of fraud product strategy at a financial software company. Nasdaq Verafin. That’s true even for knowledgeable people, he said.

This sophistication is manifested in fraudsters using synthetic or stolen identities to open accounts. Create a fake bank website to extract customer information. He also explained that he sometimes pretended to be his grandson to deceive elderly people.

“These situations continue to become more and more sophisticated, making it harder for individuals to understand that they are not actually interacting with the person they think they are interacting with through chat, phone calls, and email,” Parsons said in an interview this month.

Forrester analyst Lily Varon notes the evolution of agent commerce and passwords, and says the impact of AI in payments is complicated by concurrent trends occurring in payments. These trends can call into question existing rules around payment authentication, authorization and fraud liability, among other core principles of payment processing systems, Varon said.

“There are several different streams happening at the same time,” Varon said in an interview last month. “AI is improving the quality of deepfakes. [and] “AI tools are being increasingly deployed and easier to create, and while social engineering is the primary vector for fraud, including deep fakes, payment authentication can and will be affected as well,” she said.



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