Card-Not-Present (CNP) fraud occurs when a fraudster uses stolen or illegally obtained payment card information to make online, phone, or mail transactions without physically presenting the card.
Since the merchant cannot verify the cardholder’s identity through physical checks like signatures or chip authentication, CNP transactions are inherently riskier and more susceptible to fraud.
CNP fraud is one of the most prevalent and financially damaging forms of payment fraud worldwide, particularly with the rapid growth of e-commerce and digital payments.
In a typical CNP fraud scenario, a criminal uses stolen card details, such as the card number, expiration date, and CVV, to make unauthorized purchases.
Because these transactions do not require the physical presence of the card, detecting and preventing fraud becomes more challenging for merchants, acquirers, and card issuers.
The increasing sophistication of data breaches, phishing schemes, and dark web marketplaces has made card data more accessible to criminals, fueling the rise of CNP fraud.
According to industry estimates, CNP fraud accounts for the majority of global card fraud losses, especially in regions where chip-enabled (EMV) cards have reduced in-person fraud.
How CNP Fraud Works
Because all information entered during a CNP transaction may appear legitimate, it often passes automated verification systems, especially when those systems rely solely on static data like names or billing addresses.
While CNP fraud primarily targets consumers and merchants, it has significant implications for Anti-Money Laundering (AML) efforts.
Criminals can use CNP fraud as a vehicle for layering and integrating illicit funds into the legitimate financial system.
Proceeds from CNP fraud are often moved through multiple accounts, prepaid cards, or money transfer services to obscure their origin.
AML systems must therefore be capable of detecting suspicious transaction patterns linked to fraudulent card activity.
Coordination between fraud detection and AML monitoring systems is critical for tracing and intercepting the flow of illicit funds generated through CNP fraud schemes.
Key Detection and Prevention Techniques
Card-Present (CP) fraud involves physical interaction with the payment card, such as at point-of-sale terminals, where verification can be done via chip, PIN, or signature.
By contrast, CNP fraud removes this layer of physical verification, relying solely on digital credentials.
As EMV chip technology and contactless verification have strengthened in-person transaction security, fraudsters have shifted focus to online channels.
This displacement effect has led to a steady increase in CNP fraud across digital commerce platforms.
Challenges in Combating CNP Fraud
Industry Standards & Regulatory Frameworks
To address CNP fraud, regulatory and industry bodies have introduced several guidelines and standards:
These frameworks encourage financial institutions and merchants to adopt layered, risk-based approaches combining authentication, behavioral analysis, and transaction monitoring.
Advancements in artificial intelligence, blockchain analytics, and biometrics are reshaping CNP fraud prevention.
AI-driven platforms now enable dynamic risk scoring, automatically adjusting fraud thresholds based on contextual factors such as transaction value, device type, and geolocation.
Blockchain’s transparency and immutability also provide potential for future fraud prevention mechanisms by enabling real-time verification of digital payment identities and ensuring the integrity of transaction histories.
Card-Not-Present fraud remains one of the most challenging forms of financial crime in the digital era.
Its complexity and scale demand an integrated defense combining advanced technology, regulatory compliance, and inter-agency cooperation.
Financial institutions, merchants, and payment processors must align fraud and AML systems to create a unified framework capable of detecting and mitigating this evolving threat.
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