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.

 

 

 

 



KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.