{*}
Add news
March 2010 April 2010 May 2010 June 2010 July 2010
August 2010
September 2010 October 2010 November 2010 December 2010 January 2011 February 2011 March 2011 April 2011 May 2011 June 2011 July 2011 August 2011 September 2011 October 2011 November 2011 December 2011 January 2012 February 2012 March 2012 April 2012 May 2012 June 2012 July 2012 August 2012 September 2012 October 2012 November 2012 December 2012 January 2013 February 2013 March 2013 April 2013 May 2013 June 2013 July 2013 August 2013 September 2013 October 2013 November 2013 December 2013 January 2014 February 2014 March 2014 April 2014 May 2014 June 2014 July 2014 August 2014 September 2014 October 2014 November 2014 December 2014 January 2015 February 2015 March 2015 April 2015 May 2015 June 2015 July 2015 August 2015 September 2015 October 2015 November 2015 December 2015 January 2016 February 2016 March 2016 April 2016 May 2016 June 2016 July 2016 August 2016 September 2016 October 2016 November 2016 December 2016 January 2017 February 2017 March 2017 April 2017 May 2017 June 2017 July 2017 August 2017 September 2017 October 2017 November 2017 December 2017 January 2018 February 2018 March 2018 April 2018 May 2018 June 2018 July 2018 August 2018 September 2018 October 2018 November 2018 December 2018 January 2019 February 2019 March 2019 April 2019 May 2019 June 2019 July 2019 August 2019 September 2019 October 2019 November 2019 December 2019 January 2020 February 2020 March 2020 April 2020 May 2020 June 2020 July 2020 August 2020 September 2020 October 2020 November 2020 December 2020 January 2021 February 2021 March 2021 April 2021 May 2021 June 2021 July 2021 August 2021 September 2021 October 2021 November 2021 December 2021 January 2022 February 2022 March 2022 April 2022 May 2022 June 2022 July 2022 August 2022 September 2022 October 2022 November 2022 December 2022 January 2023 February 2023 March 2023 April 2023 May 2023 June 2023 July 2023 August 2023 September 2023 October 2023 November 2023 December 2023 January 2024 February 2024 March 2024 April 2024 May 2024 June 2024 July 2024 August 2024 September 2024 October 2024 November 2024 December 2024 January 2025 February 2025 March 2025 April 2025 May 2025 June 2025 July 2025 August 2025 September 2025 October 2025 November 2025 December 2025 January 2026 February 2026 March 2026
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
News Every Day |

Visa Sees Check Fraud Spilling Into Faster Payment Scams

Watch more: Visa Protect With Visa’s Michele Herron

Check fraud has gained prominence as a measurable source of losses for financial institutions, businesses and consumers. Even as digital payment adoption accelerates, paper continues to circulate through the U.S. banking system at extraordinary scale, preserving structural vulnerabilities that criminals increasingly exploit. According to PYMNTS Intelligence, checks accounted for 30% of U.S. fraud losses in 2024, while check payments are 31 times more likely to be fraudulent than real-time transactions.

Why Checks Continue to Circulate

The endurance of checks in the United States stands in contrast to markets where usage has materially declined. Michele Herron, senior vice president, head of North America Value-Added Services at Visa, noted in an interview with PYMNTS that paper payments remain deeply embedded in domestic financial behavior.

“Americans deposit more than 11 billion checks per year,” she said. “They are not the best, most efficient or safest way to be paid.”

Herron attributed the persistence of checks to consumer habits rather than technological limitations. Even individuals who regularly use cards and digital wallets often default to checks for certain categories of transactions, including rent, various bills and gifts.

That reliance ensures that checks remain an active component of the payments mix rather than a fading one.

Fraud Tactics Across Multiple Vectors

Herron described a fraud landscape defined by both technological sophistication and procedural simplicity. Criminals continue to exploit the physical nature of checks while integrating newer tools.

“There are so many different ways that fraudsters are exploiting this issue,” she said. “It could be through counterfeit checks, forging checks and rewriting stolen checks.”

Check washing remains one of the most visible examples. Criminals intercept legitimate instruments, remove original ink and rewrite critical details.

Other schemes rely on persuasion rather than alteration. Victims are induced to write genuine checks under false pretenses, often through scenarios tied to employment opportunities or fabricated financial windfalls.

Fraud, in this sense, spans both document manipulation and social engineering, complicating prevention efforts.

The Clearing Gap and Consumer Exposure

One of the defining characteristics of check fraud is the time lag between deposit and final settlement. Funds may initially appear available, encouraging action before a fraudulent instrument is ultimately rejected.

Herron outlined a common employment-related scheme. A victim receives a check associated with what appears to be legitimate work. Shortly thereafter, the sender claims an error and requests reimbursement through faster payment channels.

“As soon as I get it, they say they overwrote the check and ask for money back,” she told PYMNTS. “I send an electronic payment. Then I am left with the check that does not clear.”

The financial harm becomes visible only after the original check is returned, by which point the fraudster has typically exited the interaction. This delay introduces operational strain for banks and financial risk for consumers who believed they were handling valid transactions.

AI Reshapes Check Manipulation

Artificial intelligence (AI) has altered the mechanics and economics of check fraud. Tasks that once required manual effort can now be executed at scale with greater precision.

“In the past it was painstaking to get the signature right and copy handwriting,” Herron said. “Now with AI, you can do this at scale.”

She emphasized AI’s ability to replicate subtle characteristics that historically distinguished authentic checks from altered ones. “AI can look at nuances in ink patterns, the way numbers are formed, and how space is used,” she said. “It can reach nearly 100% precision.”

Deploying AI for Detection and Prevention

Visa is helping financial institutions with comparable analytical technologies. Herron described how AI-driven systems evaluate both the physical attributes of checks and broader behavioral signals.

“We use highly accurate check image forensics,” she said. “We can detect bleach stains and subtle inconsistencies that indicate the check is not authentic.”

Image analysis alone, however, captures only one dimension of fraud. Herron pointed to adaptive behavioral analytics as a complementary layer possible through Featurespace, a Visa solution, that helps analyze individual customer behavior to identify anomalies that may indicate fraudulent activity.

“Rather than analyzing any situation in isolation, adaptive behavioral analytics creates a profile,” she said. “It constantly builds what normal looks like so we can [better] detect what isn’t normal.”

These models ingest large volumes of transaction data to identify anomalies tied to account activity, payment patterns and usage behavior. The objective is not merely to block suspicious items but to preserve legitimate transaction flow.

“We want as many good transactions [as possible] to go through,” Herron said, adding that Visa helps financial institutions flag suspicious transactions.

A Broader Payments Risk Signal

Check fraud may originate with paper instruments, yet its implications extend well beyond a single payment rail. Fraudulent deposits can trigger rapid withdrawals, mule account activity and cross-channel schemes that affect cards and digital payments alike.

Herron framed checks as one component of a wider payments risk environment.

“Fraud is not limited to one payment type,” she said. “Behaviors observed on checks can inform risk signals across others.”

That perspective reflects an industry shift toward unified fraud management strategies capable of evaluating threats across payment methods rather than within isolated silos.

Check fraud’s resurgence illustrates how legacy payment mechanisms continue to shape modern risk dynamics. Advances in AI have intensified both attack capabilities and defensive responses, placing greater emphasis on behavioral analysis and forensic detection.

“It is a real challenge,” Herron said. “It’s something we are working to combat.”

The post Visa Sees Check Fraud Spilling Into Faster Payment Scams appeared first on PYMNTS.com.

Ria.city






Read also

Assessing Iran’s Ability to Hold the World’s Oil Supply Hostage

ServiceNow CEO Predicts 30% College Grad Unemployment Due to AI

NC State takes on Texas in First 4 matchup

News, articles, comments, with a minute-by-minute update, now on Today24.pro

Today24.pro — latest news 24/7. You can add your news instantly now — here




Sports today


Новости тенниса


Спорт в России и мире


All sports news today





Sports in Russia today


Новости России


Russian.city



Губернаторы России









Путин в России и мире







Персональные новости
Russian.city





Friends of Today24

Музыкальные новости

Персональные новости