- $118 billion: Annual losses in the U.S. due to false declines, 13x higher than actual fraud costs.
- 41%: Customers who abandon merchants after a false decline or checkout friction.
- 4-6%: Typical approval-rate improvements from AI-powered authentication.
Experts agree that the shift toward richer data sharing and AI-driven authentication is a strategic necessity to balance fraud prevention with seamless customer experience, reclaiming billions in lost revenue.
The War on False Declines: How Richer Data Sharing is Replacing the Password at Checkout
ATLANTA – November 09, 2026 – For years, the retail technology sector has treated credit card fraud as the ultimate existential threat to digital commerce. Yet, a quiet look at the balance sheets of major e-commerce brands reveals a far more insidious drain on revenue: the false decline. In the United States alone, merchants lose an estimated $118 billion annually to legitimate orders that are wrongly blocked by overzealous fraud prevention systems. That figure is more than thirteen times the actual cost of credit card fraud.
This staggering inefficiency is driving a fundamental architectural shift in how payments are authorized. Today, Global Payments Inc. announced the expansion of its Adaptive Authentication platform, integrating the Visa Intelligent Data Exchange (IDX) API for domestic transactions in the U.S. and Canada. The move signals a critical departure from the era of clunky, consumer-facing security hurdles. Instead of forcing shoppers to prove their identity through intrusive step-up challenges, payment processors are now relying on invisible, algorithmic data sharing to secure approvals.
For enterprise leaders focused on resilient business models, this integration is more than a technical upgrade; it is a strategic maneuver to reclaim billions in abandoned carts and severed customer relationships.
The Invisible War on False Declines
The traditional approach to e-commerce security has long relied on protocols like EMV 3-D Secure (3DS). While effective at shifting fraud liability away from the merchant, 3DS often introduces significant friction. When a transaction looks moderately suspicious, the system triggers a "step-up" challenge—demanding a one-time password via SMS or a biometric scan. For the consumer, this interruption is jarring. Industry benchmarks indicate that up to 41% of customers who experience a false positive or a frustrating checkout challenge never return to that merchant.
By embedding the Visa IDX API directly into its acquirer-level authentication, Global Payments is attempting to bypass this friction entirely. The IDX framework facilitates the real-time transmission of enhanced, contextual transaction data from the merchant directly to the card issuer before the authorization request is finalized.
"Every time a legitimate customer has their transaction declined, it is a lost revenue opportunity," said John Winstel, senior vice president, Value Added Services at Global Payments. "As authentication becomes more complex, merchants need more than standalone tools. They need an intelligent approach that determines the right authentication strategy for every transaction. By adding Visa IDX API to our Adaptive Authentication platform, we are helping our clients improve approvals, reduce friction and deliver better customer experiences."
Instead of interrogating the customer, the system interrogates the data. Issuers receive a richer mosaic of the transaction context, allowing their automated systems to confidently approve purchases that might have previously been flagged by rigid, rule-based fraud engines.
From Rules to Algorithms: Orchestrating Risk in Milliseconds
The true operational value of Global Payments' enhanced platform lies in its orchestration capabilities. Modern payment engines operate in a high-stakes environment where decisions must be executed in milliseconds to prevent cart abandonment.
To achieve this, Global Payments relies heavily on its partnership with Ravelin, a specialist fraud platform. Behind the scenes, Ravelin's machine learning models ingest terabytes of merchant-specific data to generate a highly accurate fraud risk score—ranging from 0 to 100—in under 300 milliseconds.
This real-time intelligence acts as the brain of the Adaptive Authentication platform. Rather than applying a one-size-fits-all security protocol, the AI dynamically routes the transaction based on the Ravelin score. If the risk is exceptionally low, the transaction proceeds seamlessly. If the risk is moderate, the AI automatically deploys Data Only authentication or leverages the new Visa IDX API, quietly supplying the issuer with the extra context needed to approve the sale without bothering the consumer. Only when the risk score crosses a critical threshold does the system trigger a 3D Secure challenge or outright decline the transaction.
This algorithmic orchestration yields quantifiable results. According to Global Payments, deployments of its AI-powered optimization model and Data Only authentication typically generate approval-rate improvements ranging from four to six percent. In the razor-thin margin world of e-commerce, where a single percentage point increase in authorization for a billion-dollar merchant equals $10 million in recovered revenue, a 4% to 6% lift is a massive competitive advantage.
Deepening the Network Moat
The integration of Visa IDX into Global Payments' architecture also highlights a broader strategic battle within the fintech ecosystem. Traditional card networks and legacy acquirers are facing mounting pressure from alternative payment methods, digital wallets, and closed-loop systems that promise higher conversion rates.
To defend their transaction volumes, networks like Visa are aggressively rolling out proprietary data protocols to make their traditional rails smarter and more efficient.
“Visa Intelligent Data Exchange API is designed to provide issuers with richer transaction insights as part of the authorization process, helping merchants improve approval rates and reduce false declines,” said Cietan Kitney, head of product, North America, Visa. “Through our work with Global Payments, we are helping advance a better approach to digital commerce authentication.”
The competitive landscape is already crowded with sophisticated optimization engines. Adyen's RevenueAccelerate utilizes machine learning to re-format payment requests based on issuer preferences, while Stripe’s Authorization Boost claims an average 3.8% lift in acceptance rates through AI-powered retries and network optimizations. Fiserv's VerifyNow offers similar real-time authentication without adding customer steps.
By uniting Visa's vast network visibility with Global Payments' acquiring scale and Ravelin's fraud modeling, this alliance creates a formidable moat. It proves that the traditional payment stack can still innovate rapidly, matching the frictionless promises of newer fintech disruptors while maintaining the ubiquitous reach of the major card networks.
The Future of Frictionless Commerce
As global e-commerce fraud losses are projected to hit $107 billion by 2029, the tension between security and user experience will only intensify. Merchants can no longer afford to view fraud prevention and conversion optimization as separate, siloed operations. They are two sides of the same coin, requiring a unified, data-driven approach.
The rollout of Visa IDX within Global Payments' Adaptive Authentication platform illustrates the terminal decline of static, rule-based security. The future of digital commerce relies on invisible infrastructure—where rich data flows seamlessly between merchants, acquirers, and issuers in the blink of an eye. For retail leaders, the mandate is clear: the most effective way to protect the bottom line is not just to block the criminals, but to ensure the algorithms know exactly how to recognize the legitimate customers.
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Product Launch
Machine Learning
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