Prevent Fraudulent Transactions

Transaction fraud refers to any unauthorized or deceptive use of payment systems, typically involving stolen credit card information, fake accounts, or manipulated transactions. Fraudsters may use bots to automate these attacks at scale, testing stolen payment credentials or making fraudulent purchases. Without strong transaction fraud detection, businesses risk financial loss, increased chargebacks, and damage to customer trust.

Effective transaction fraud detection relies on monitoring behavioral signals, analyzing transaction patterns, and identifying anomalies that indicate malicious activity. Fraudsters may display telltale signs such as rapid transaction attempts, mismatched geolocation and payment data, or the use of known compromised devices. HUMAN’s platform uses machine learning and behavioral analysis to spot these red flags in real time, helping businesses stop fraud before it escalates.

Transaction fraud prevention requires a layered security strategy that goes beyond basic filters. This includes device fingerprinting, behavioral analysis, and continuous monitoring to distinguish real customers from bad actors. The HUMAN transaction fraud prevention solution helps businesses stop fraudulent transactions at the source by identifying and blocking malicious automation before it can complete the attack.

Yes, HUMAN plays a critical role in e-commerce cybersecurity by protecting businesses from automated threats that target online transactions. From account takeover and fake accounts to transaction fraud prevention, HUMAN ensures that digital commerce remains secure, seamless, and free from fraudulent activity that can erode consumer trust and impact revenue.

Yes, in addition to transaction fraud detection, HUMAN defends against a wide range of automated threats including credential stuffing, scraping, ad fraud, and inventory hoarding. Our solutions are designed to safeguard the full customer journey by blocking malicious bots across web, mobile, and API environments.