Desafios dos pagamentos digitais e estratégias de prevenção

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- Global card fraud losses hit $33.41 billion in 2024, and the Nilson Report projects $407.6 billion in cumulative losses by 2034.
- Half of merchants report rising false declines, and static fraud rules block up to 10% of legitimate customers at checkout, per Adyen's 2026 Fraud Report.
- Only 35% of retail cross-border payments settle within an hour, far short of the G20's 75% target, and remittance costs still average above 3% in many corridors.
- 43% of merchants now accept real-time payments and 63% are exploring agentic AI payments, per the Merchant Risk Council's 2026 report, both raising fraud liability questions that are still unresolved.
Digital payment challenges are the operational, technical, and regulatory obstacles merchants face when accepting electronic payments: fraud and chargebacks, declined transactions, cross-border payment friction, and shifting compliance rules. Left unmanaged, these challenges compound quickly. A single fraud vector can inflate your decline rate, push your chargeback ratio toward card network penalty thresholds, and cost you a repeat customer, all in the same billing cycle.
This guide maps the full landscape merchants need to track in 2026: where fraud losses actually land, why legitimate transactions get declined, what cross-border friction costs, how compliance pressure is shifting, and what real-time payments and AI shopping agents add to the picture. For a deep dive into fraud detection and prevention tactics specifically, see our ecommerce fraud prevention guide.
What Are the Biggest Digital Payment Challenges Merchants Face?
Most merchants run into the same handful of problems, they just show up in different proportions depending on vertical, order volume, and geography. The core categories are:
- Fraud and chargebacks: unauthorized transactions and disputed charges that drain revenue and can trigger card network penalties if left unchecked.
- Declined transactions: legitimate orders rejected at checkout, often costing more in lost sales than fraud costs in losses.
- Cross-border payment friction: slower settlement, currency conversion costs, and higher decline rates on international orders.
- Regulatory compliance: PCI DSS, GDPR, PSD2/SCA, and card network monitoring programs that carry real financial penalties.
- Real-time payments fraud: instant, largely irreversible transfers that remove the review window banks used to rely on.
- Agentic commerce risk: AI shopping agents placing orders on a customer's behalf, with authentication and dispute liability still being worked out.
| Challenge Type | Typical Impact | Mitigation Approach |
|---|---|---|
| Fraud and chargebacks | Lost revenue, chargeback fees, and card network fines if dispute ratios climb | Layered fraud detection paired with fast dispute response and evidence automation |
| Declined transactions | Lost sales and customer churn, often exceeding actual fraud losses | Adaptive authentication, retry logic, and multi-acquirer routing |
| Cross-border friction | Slower settlement, FX costs, and higher decline rates on international orders | Local acquiring, multi-currency checkout, and regional payment methods |
| Regulatory compliance | Fines, mandatory remediation plans, and potential loss of card acceptance | Ongoing PCI DSS, GDPR, and SCA compliance monitoring plus ratio tracking |
| Real-time payments and agentic commerce | Irreversible settlement and unclear liability for agent-initiated disputes | Real-time risk scoring, agent authentication, and dispute evidence automation |
$33.41B Global card fraud losses in 2024, per the Nilson Report |
50% Businesses reporting rising false declines, per Adyen's 2026 Fraud Report |
35% Retail cross-border payments that settle within one hour, versus a 75% G20 target |
$7.6B Projected global real-time payment scam losses by 2028, per ACI Worldwide |
Fraud and Chargebacks Are Still the Biggest Line-Item Risk
Global card fraud losses reached $33.41 billion in 2024, and the Nilson Report projects a cumulative $407.6 billion in card fraud losses between 2025 and 2034 as transaction volume keeps outpacing loss-rate improvements. That's the headline number, but it undersells how the risk is shifting.
Fraud isn't only external anymore. Adyen's 2026 Fraud Report found first-party misuse, customers disputing purchases they actually received, is now the most commonly reported fraud type, cited by 44% of enterprises, even as fraudulent chargeback losses fell 20% year over year. This pattern is often called friendly fraud, and it behaves differently than criminal fraud because the underlying transaction was genuine. Rules built to catch stolen cards rarely catch a customer who knows exactly what they bought.
Once a dispute is filed, understanding what a chargeback is and how it moves through the network determines whether you can resolve it before it escalates. Chargeback alert services flag disputes early, often before they hit the formal chargeback stage, giving merchants a window to refund or respond before the ratio damage is done.
The tactics for stopping fraud before it reaches checkout, device fingerprinting, behavioral analytics, AI-driven risk scoring, are covered in depth in our ecommerce fraud prevention guide linked above. This page focuses on where fraud sits inside the broader challenge landscape, not the mechanics of stopping any one fraud type.
Declined Transactions Cost Merchants More Than Fraud Does
Half of businesses report rising false declines, and Adyen's 2026 Fraud Report found that static, rules-based controls block up to 10% of legitimate customers at checkout. Every one of those declines is a sale you already had, and a meaningful share of those customers never come back to retry.
Declines happen for reasons that have nothing to do with actual fraud risk:
- AVS or CVV mismatches caused by a typo, an outdated billing address, or a card recently reissued after a breach.
- Issuer-side risk scoring that flags unfamiliar merchants, first-time purchase amounts, or unusual purchase timing.
- Thin authorization data, where the request sent to the issuer lacks the context needed to approve confidently.
- Overly aggressive velocity or rule-based filters tuned to stop fraud that end up catching normal shopping behavior instead.
- 3D Secure friction that adds a step some customers abandon before completing authentication.
The fix isn't loosening fraud controls, it's making authorization smarter. Adaptive routing across acquirers, network tokenization, and smarter retry logic on soft declines all lift approval rates without opening the door wider to actual fraud.
Cross-Border Payment Friction Adds Cost, Delay, and Compliance Overhead
Selling internationally multiplies every challenge on this page. Only about 35% of retail cross-border payments settle within one hour today, well short of the G20's 75% target for the end of 2027. Remittance costs tell a similar story: the global average still sits above the 1% target set for 2030, and some corridors run past 3%, with a $200 transfer in certain routes costing more than 5%.
The friction shows up in several places at once:
- Currency conversion spreads that add hidden cost on top of the sticker price.
- Correspondent banking chains that slow settlement and add points of failure.
- Local payment method mismatches, a card-only checkout in a market that prefers bank transfers or wallets, which suppresses conversion before fraud even enters the picture.
- Stricter issuer risk scoring on unfamiliar geographies, which pushes international decline rates above domestic ones.
- Duplicated KYC and AML checks across jurisdictions with different documentation standards.
Working with a payment service provider (PSP) that has regional acquiring relationships, supports local payment methods, and offers transparent FX pricing addresses most of this without requiring a separate banking relationship in every market you sell into.
Regulatory Compliance Keeps Getting More Complex
Digital payment compliance now spans several overlapping regimes: PCI DSS for cardholder data handling, GDPR for customer data in the EU and UK, and PSD2's Strong Customer Authentication requirements for European transactions. None of these move in isolation, and none of them are optional past a certain processing volume.
Card network monitoring programs add another layer that behaves like compliance even though it's framed as fraud control. Visa's VAMP and Mastercard's equivalent dispute-monitoring program track fraud-to-sales and chargeback ratios monthly, and both tightened their thresholds again in 2026. Cross a threshold and the consequences escalate fast: monthly fines, mandatory remediation plans submitted to your acquirer, and, if the ratio doesn't come down, loss of card acceptance entirely.
The practical takeaway is that compliance and fraud prevention aren't separate workstreams anymore. A rising dispute ratio is a compliance problem before it's a card network problem.
Emerging Challenges: Real-Time Payments and Agentic Commerce
Real-Time Payments Remove the Fraud Review Window
Real-time payment rails settle in seconds, which is exactly what makes them attractive to customers and dangerous for fraud teams. There's no overnight batch window to catch a suspicious transfer before it's final. ACI Worldwide projects authorized push payment scam losses will reach $7.6 billion globally by 2028, and adoption is accelerating on the merchant side too: 43% of merchants now accept real-time payments, according to the Merchant Risk Council's 2026 Global eCommerce Payments and Fraud Report. Once funds move on these rails, recovery options look nothing like a card chargeback, there's no built-in dispute mechanism to fall back on.
AI Shopping Agents Are Already Placing Orders
Agentic commerce, AI agents that browse, select, and check out on a customer's behalf, is no longer theoretical. The same MRC 2026 report found 63% of merchants are actively exploring or planning agentic AI payments, and separate industry projections put the agentic commerce market at $1.7 trillion by 2030. The problem merchants haven't solved yet is verification: standards for authenticating a legitimate agent versus a scripted bot are still forming, and who's liable when an AI agent's purchase gets disputed is still an open question in most cases. Merchants that wait for the standards to fully settle before preparing evidence and dispute workflows will be behind. Our evidence playbook for agentic commerce chargebacks covers how to prepare now.
Where Merchants Should Focus Next
No single fix addresses every challenge on this page, because they don't share a single root cause. A practical starting point looks like this:
- Treat fraud prevention and chargeback response as connected, not separate, workflows.
- Audit decline reasons before tightening fraud rules further, since the fix is often authorization quality, not stricter filters.
- Review your payment stack's cross-border coverage if international orders make up a growing share of revenue.
- Track your fraud-to-sales and chargeback ratios against current card network thresholds, not last year's.
- Build a dispute evidence process now for real-time and agent-initiated transactions, before volume forces the issue.
Chargeflow automates the dispute side of this equation, turning chargeback response into an evidence-backed, largely hands-off process so your team can focus on the fraud prevention side of the stack. See how it works.
Perguntas frequentes
What are the most common digital payment challenges for merchants?
The most common challenges are fraud and chargebacks, false declines on legitimate orders, cross-border payment friction, and regulatory compliance across PCI DSS, GDPR, and card network monitoring programs. Real-time payments fraud and agentic commerce risk are newer additions that most merchants are still building processes to handle.
Why do legitimate transactions get declined?
Legitimate transactions get declined for reasons unrelated to actual fraud risk: AVS or CVV mismatches, thin authorization data, issuer-side risk scoring on unfamiliar purchase patterns, and overly aggressive fraud rules. Adyen's 2026 Fraud Report found static controls alone block up to 10% of legitimate customers at checkout.
How much does cross-border payment friction cost merchants?
Cross-border friction shows up as both delay and direct cost. Only about 35% of retail cross-border payments settle within an hour today, versus a 75% G20 target, and remittance costs still average above 1% globally, with some corridors exceeding 3% to 5% per transaction.
What compliance rules apply to digital payment processing?
Merchants processing digital payments typically need to meet PCI DSS for cardholder data security, GDPR (or equivalent regional laws) for customer data handling, and PSD2's Strong Customer Authentication rules for European transactions. Card network programs like Visa's VAMP and Mastercard's dispute-monitoring program add ongoing ratio-based requirements on top of these.
Are AI shopping agents a new fraud risk for merchants?
Yes. Agentic commerce introduces two unresolved problems: verifying that an AI agent represents a real, authorized customer, and determining liability when an agent-initiated purchase is disputed. The Merchant Risk Council found 63% of merchants are already exploring or planning for agentic AI payments, which means the risk is arriving faster than the standards meant to govern it.
Qual é a diferença entre prevenção de fraudes e gestão de “ chargeback ”?
Fraud prevention stops a bad transaction before it completes, using tools like risk scoring and authentication checks. Chargeback management handles disputes after a cardholder has already challenged a charge, gathering evidence and responding through the card network's process. Merchants need both, since no amount of prevention catches every case, and no dispute process prevents the fraud that reaches checkout in the first place.

Chargebacks?
Não é mais problema seu.
Recupere 4 vezes mais chargebacks e PREVENÇÃO — até 90% dos e-mails recebidos —, com tecnologia de IA e uma rede global Rede de 20.000 Lojistas.














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