Platforms to detect deceptive activity conducted during online transactions, e.g. unauthorized access to personal or financial information, with the intent to steal goods, services, or money.
eCommerce fraud refers to deceptive practices conducted by cybercriminals to exploit vulnerabilities in online shopping platforms, often to gain financial or personal benefits. As eCommerce continues to grow, so do the tactics fraudsters use, targeting areas such as payment processing, account security, and promotional abuse. Common types of eCommerce fraud include card-not-present (CNP) fraud, where stolen credit card information is used to make unauthorized purchases, and account takeover (ATO) fraud, where hackers gain control of customer accounts to make fraudulent transactions or access sensitive data. Other forms include chargeback fraud, where buyers dispute legitimate transactions to receive goods or services for free, and refund fraud, which exploits return policies to manipulate refunds or store credits. Fraudsters often use advanced techniques such as phishing attacks, identity theft, and automated bots to scale their operations. They exploit weak password practices, unencrypted data, and loopholes in online payment systems. Emerging threats include synthetic identities—fake identities created using real and fictitious information—and social engineering tactics designed to deceive customer service representatives or online merchants. For businesses, eCommerce fraud results in significant financial losses, reputational damage, and increased operational costs to manage disputes and chargebacks. To combat these risks, merchants deploy advanced fraud prevention tools such as machine learning algorithms, behavioral analytics, and multi-factor authentication. These tools can detect anomalies, flag high-risk transactions, and reduce false positives that might otherwise reject legitimate customers. Furthermore, compliance with regulations like PSD2 in Europe and PCI DSS globally is essential for enhancing security measures. Ultimately, tackling eCommerce fraud requires a multi-layered approach that balances security and customer experience. By investing in robust fraud detection systems and educating employees and customers about online threats, businesses can protect themselves from fraud while building trust with their customers.Explore the vendors and technologies available in the eCommerce Fraud category here on RiskTechRadar.
The Accertify Platform is a comprehensive solution designed to help businesses confidently identify their authentic customers while minimizing fraud and abuse. This platform enables enterprises to grow without hesitation by leveraging advanced technologies such as machine learning, artificial intell...
aiReflex by Fraud.com is an omnichannel fraud prevention suite designed to detect and prevent fraudulent transactions in real-time. Leveraging cutting-edge artificial intelligence, aiReflex analyzes transactional and behavioral data across multiple channels, providing unparalleled fraud detection ac...
The Riskified Platform is a comprehensive eCommerce risk management solution designed to deliver revenue-critical decisions while enabling seamless customer experiences. By leveraging advanced machine learning and a vast merchant network, the platform ensures accurate, real-time decision-making at s...
The Signifyd Commerce Protection Platform is a comprehensive eCommerce fraud prevention solution designed to protect merchants from a wide range of risks while enhancing customer experiences. Leveraging the power of Signifyd's global Commerce Network and machine learning, the platform provides real-...
If you have a product in this category and want to feature it here, please sign up or contact us.