Jumio Network Harnesses Power of Proprietary Data to Advance Fight Against Identity Fraud

SUNNYVALE, Calif.--(BUSINESS WIRE)--Apr 22, 2025--

Jumio, the leading provider of automated, AI-driven biometric identity verification, risk signals and compliance solutions, today announced general availability of Cross-Transaction Risk, which helps businesses proactively detect fraud by connecting identity elements across the Jumio network.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250422401203/en/

A key capability within the Jumio Identity Reputation suite, Cross-Transaction Risk enables organizations to strike the ideal balance between advanced fraud detection, seamless user experience and identity assurance. Traditional identity verification validates a user’s identity at a single moment in time, often when they are opening an account or conducting a transaction. Jumio Identity Reputation delivers deeper, ongoing intelligence by analyzing identity attributes and behaviors, starting at the signal level and evolving into real-time, network-powered recognition.

At the center of this evolution is the Jumio network, a privacy first, cross-customer intelligence network built on over 32 million known identities from both legitimate and fraudulent transactions. Many providers operate as data processors, which means they can only use fraud data to stay compliant with consumer privacy regulations such as GDPR. Jumio meets more stringent data privacy requirements and leverages both legitimate and fraudulent identity data with explicit end-user consent. This gives Jumio customers unmatched visibility into identity behavior and risk across Jumio’s ecosystem. To date, more than 400 Jumio customers have joined and are contributing to the unmatched strength of the Jumio network.

Cross-Transaction Risk is already making a significant impact, uniquely detecting an average of 28% more fraud attacks among enabled customers using the capability during early release. One such customer, a major APAC telco, faced a sophisticated, large-scale fraud attack in which fraudsters repeatedly used camera injection attacks and deepfake selfies in an attempt to open new accounts. Cross-Transaction Risk complemented existing fraud defenses and instantly detected the attack, uniquely rejecting over 50% of fraudulent ID transactions and adding a powerful additional layer of protection beyond traditional fraud controls for the customer.

“By connecting this vast amount of proprietary identity data and intelligence across customers, sessions and time, the Jumio network enables earlier fraud detection, faster onboarding for trusted users, and continuous monitoring of evolving risk,” said Jumio Chief Product and Technology Officer Bala Kumar.

To learn more about Jumio and its award-winning, AI-powered solutions, visit jumio.com.

About Jumio

Jumio helps organizations to know and trust their customers online. From account opening to ongoing monitoring, the Jumio Platform provides advanced identity verification, risk signals and compliance solutions that help you accurately establish, maintain and reassert trust.

Leveraging powerful technology including automation, biometrics, AI/machine learning, liveness detection and no-code orchestration with hundreds of data sources, Jumio helps you fight fraud and financial crime, onboard good customers faster and meet regulatory compliance including KYC and AML. Jumio has processed more than 1 billion transactions spanning over 200 countries and territories from real-time web and mobile transactions.

Based in Sunnyvale, California, Jumio operates globally with offices and representation in North America, Latin America, Europe, Asia Pacific and the Middle East and has been the recipient of numerous awards for innovation. Jumio is backed by Centana Growth Partners, Great Hill Partners and Millennium Technology Value Partners.

For more information, please visit www.jumio.com.

Jumio Network Harnesses Power of Proprietary Data to Advance Fight Against Identity Fraud

MILWAUKEE (AP) — Four years after showing up late for the Beijing Olympics and missing one of his races because of a case of COVID-19, U.S. long track speedskater Casey Dawson is enjoying what he jokingly terms his “villain arc,” peaking at the right time ahead of the Milan Cortina Games.

Dawson secured a spot for next month in the men's 5,000 meters — an event he was forced to skip in 2022 while sick — by winning at that distance at the U.S. Olympic trials in 6 minutes, 12.857 seconds on Friday night.

“I actually got COVID two or three weeks before going to the competition. Tested positive for 50 straight tests,” said Dawson, a 25-year-old from Park City, Utah. “Couldn’t go over to the Games. I missed the opening ceremonies. Missed the 5,000 meters. Showed up 12 hours before my 1,500 meters. So I kind of got a little screwed over from that point of view. But this time around, I’m just looking forward to getting there smoothly and just getting a little bit of redemption.”

And then, with a chuckle, Dawson added: “It’s kind of fun to have, like, my villain arc, I would call it. Just coming back and having some fun.”

Ethan Cepuran was about 6 1/2 seconds back Friday, finishing next in 6:19.335.

The last American man to medal in the 5,000 at an Olympics was Chad Hedrick at the 2006 Turin Games.

Dawson already had secured the lone U.S. place for Milan in the men’s 10,000 — a race not being contested at these trials — and also will be part of the trio for men’s team pursuit at the Olympics.

Dawson, Cepuran and Emery Lehman took the bronze in that event in Beijing four years ago, set the world record in 2024 and claimed gold in the team pursuit at the world championships in March.

In the other race Friday, the women's 3,000, Greta Myers won in 4:06.799. As of now, the United States does not have a berth in Milan for that distance, but one of its athletes could end up in the field if another country relinquishes an opening.

“It's hard to wait,” said Myers, a 21-year-old from Lino Lakes, Minnesota. “But I'm very hopeful. I think it's at least a 50-50 chance that it'll happen.”

The U.S. Olympic roster for long track won't become official until the four-day trials at the Pettit National Ice Center wrap up on Monday. One element that could come into play is that the Americans are allowed to bring a maximum of eight men and six women to these Winter Games.

The biggest star of the team — and the sport — is scheduled to make his trials debut Saturday in the men's 1,000 meters: Jordan Stolz. The 21-year-old from Kewaskum, a town about 40 miles north of Milwaukee, is not just competing at home this week; he's racing at the same rink where he first began taking lessons as a kid.

He made his Olympic debut at age 17 in Beijing four years ago, finishing 13th in the 500 and 14th in the 1,000.

At both the 2023 and 2024 world championships, Stolz earned titles in each of the 500, 1,000 and 1,500 meters.

He's already pre-qualified for the Olympics based on performances at those three distances. All he really needs to do to lock down berths on the squad for the Feb. 6-22 Milan Cortina Games is show up at the starting line this week.

The 500 and 1,500 are slated for Sunday, and the mass start is Monday.

AP Winter Olympics: https://apnews.com/hub/milan-cortina-2026-winter-olympics

Casey Dawson, of Park City, Utah, right, and Ethan Cepuran, of Glen Ellyn, lllinois, left, compete in the men's 5,000 meters at the U.S. Olympic trials for long track speed skating at the Pettit National Ice Center in Milwaukee, Friday, Jan. 2, 2026. (AP Photo/Howard Fendrich)

The Pettit National Ice Center is seen in Milwaukee on Friday, Jan. 2, 2026, the first day of the U.S. Olympic trials for long track speedskating. (AP Photo/Howard Fendrich)