Using AI, Mastercard Expects to Find Compromised Cards Quicker, Before They Get Used by Criminals

FILE - A sign indicating MasterCard credit cards are accepted is posted at a New York business, Jan. 21, 2015. Mastercard said Wednesday, May 21, 2024, that it expects to be able to discover that your credit or debit card number has been compromised well before it ends up in the hands of a cybercriminal. (AP Photo/Mark Lennihan, File)
FILE - A sign indicating MasterCard credit cards are accepted is posted at a New York business, Jan. 21, 2015. Mastercard said Wednesday, May 21, 2024, that it expects to be able to discover that your credit or debit card number has been compromised well before it ends up in the hands of a cybercriminal. (AP Photo/Mark Lennihan, File)
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Using AI, Mastercard Expects to Find Compromised Cards Quicker, Before They Get Used by Criminals

FILE - A sign indicating MasterCard credit cards are accepted is posted at a New York business, Jan. 21, 2015. Mastercard said Wednesday, May 21, 2024, that it expects to be able to discover that your credit or debit card number has been compromised well before it ends up in the hands of a cybercriminal. (AP Photo/Mark Lennihan, File)
FILE - A sign indicating MasterCard credit cards are accepted is posted at a New York business, Jan. 21, 2015. Mastercard said Wednesday, May 21, 2024, that it expects to be able to discover that your credit or debit card number has been compromised well before it ends up in the hands of a cybercriminal. (AP Photo/Mark Lennihan, File)

Mastercard said Wednesday that it expects to be able to discover that your credit or debit card number has been compromised well before it ends up in the hands of a cybercriminal.

In its latest software update rolling out this week, Mastercard is integrating artificial intelligence into its fraud-prediction technology that it expects will be able to see patterns in stolen cards faster and allow banks to replace them before they are used by criminals.

“Generative AI is going to allow to figure out where did you perhaps get your credentials compromised, how do we identify how it possibly happened, and how do we very quickly remedy that situation not only for you, but the other customers who don't know they are compromised yet,” said Johan Gerber, executive vice president of security and cyber innovation at Mastercard, in an interview.

Mastercard, which is based in Purchase, New York, says with this new update it can use other patterns or contextual information, such as geography, time and addresses, and combine it with incomplete but compromised credit card numbers that appear in databases to get to the cardholders sooner to replace the bad card, The AP reported.

The patterns can now also be used in reverse, potentially using batches of bad cards to see potentially compromised merchants or payment processors. The pattern recognition goes beyond what humans could do through database inquiries or other standard methods, Gerber said.

Billions of stolen credit card and debit card numbers are floating in the dark web, available for purchase by any criminal. Most were stolen from merchants in data breaches over the years, but also a significant number have been stolen from unsuspecting consumers who used their credit or debit cards at the wrong gas station, ATM or online merchant.

These compromised cards can remain undetected for weeks, months or even years. It is only when the payment networks themselves dive into the dark web to fish for stolen numbers themselves, a merchant learns about a breach, or the card gets used by a criminal do the payments networks and banks figure out a batch of cards might be compromised.

“We can now actually proactively reach out to the banks to make sure that we service that consumer and get them a new card in her or his hands so they can go about their lives with as little disruption as possible,” Gerber said.

The payment networks are largely trying to move away from the “static” credit card or debit card numbers — that is a card number and expiration date that is used universally across all merchants — and move to unique numbers for specific transactions. But it may take years for that transition to happen, particularly in the US where payment technology adoption tends to lag.

While more than 90% of all in-person transactions worldwide are now using chip cards, the figure in the US is closer to 70%, according to EMVCo, the technological organization behind the chip in credit and debit cards.

Mastercard's update comes as its major competitor, Visa Inc., also looks for ways to make consumers discard the 16-digit credit and debit card number. Visa last week announced major changes to how credit and debit cards will operate in the US, meaning Americans will be carrying fewer physical cards in their wallets, and the 16-digit credit or debit card number printed on every card will become increasingly irrelevant.

 

 

 

 



Intel Shares Fall as Dour Forecasts Overshadow CEO’s Turnaround Promises

The Intel logo is seen near computer motherboard in this illustration taken January 8, 2024. (Reuters)
The Intel logo is seen near computer motherboard in this illustration taken January 8, 2024. (Reuters)
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Intel Shares Fall as Dour Forecasts Overshadow CEO’s Turnaround Promises

The Intel logo is seen near computer motherboard in this illustration taken January 8, 2024. (Reuters)
The Intel logo is seen near computer motherboard in this illustration taken January 8, 2024. (Reuters)

Intel's shares fell more than 8% on Friday as the company's weak revenue and profit forecasts overshadowed new CEO Lip-Bu Tan's strategy to revitalize the embattled chipmaker.

Years of bad decisions have left the struggling American chipmaking icon trailing in the lucrative artificial intelligence industry, while a raging Sino-US trade war casts doubt on near-term demand for its PC processors.

Tan on Thursday gave glimpses of his plans to reanimate Intel's culture of innovation by focusing on core engineering, stripping away unnecessary administrative work and cutting workforce.

"Intel is so huge that shifting its course is like turning a battleship – it cannot be done on a dime," Evercore ISI analysts said.

Tan did not provide much detail on how he will restore Intel's leadership position in manufacturing, nor on his plans to attract more external customers to the company's foundry, J.P.Morgan analysts said.

Tan remains focused on the contract manufacturing business and has recently met rival TSMC'S CEO to discuss how the two companies could collaborate.

Executives said first-quarter sales were boosted by customers stockpiling chips as growing tariff tensions between the US and China have made buyers wary of future purchases.

Intel could also stand to benefit if China introduces certain exemptions on US imports given the company's large presence in the Asian country, Ben Barringer, global technology analyst at Quilter Cheviot, said.

AI STRATEGY IN QUESTION

Tan's comments about sharpening Intel's existing products to best suit emerging AI trends have sparked questions on how the company plans to get ahead in the booming artificial intelligence sector and challenge market leader Nvidia.

"Intel needs to streamline fast – they have a lot of investments to make to catch up in AI," Stifel analyst Ruben Roy said.

Historically, Intel has relied on buying startups to further its AI ambitions. Other than Mobileye which Intel spun out a few years ago, the other deals didn't help the company gain much traction.

"Intel should have always had its own internal solution, but it missed the boat and tried to acquire its way into AI," Anshel Sag, principal analyst at Moor Insights & Strategy, said.

One of Intel's biggest missteps was failing to capitalize on the booming demand for AI chips, allowing Nvidia to dominate the market.

Intel now faces an uphill battle in challenging AI heavyweights as it lacks the same level of GPU intellectual property, which is essential for AI workloads, Barringer added.

The company's stock has gained 7.2% so far this year, outperforming Nvidia and Advanced Micro Devices, which have fallen nearly 20% each.

Intel, however, trades at a higher 12-month forward price-to-earnings ratio of 31.37 versus 22.70 for Nvidia and 19.24 for AMD.