![]() ![]() Infected and compromised devices are immediately isolated and prevented from doing payments, specific transactions and other specific actions. ThreatMark constantly monitors and analyzes all devices in the client’s network. User devices such as mobile phones, desktops, and tablets can become doorways for hackers, identity thieves, and malware if left unsecured. Once a threat is detected, the software automatically activates specific response measures to prevent further fraudulent activities without causing any alarm to legitimate customers. With its machine-learning capability, ThreatMark continues to learn, remember, and recognize the latest threats, mitigating attacks even when they come from a combination of devices.įurthermore, Deep Behavioral Profiling lets the software recognize and isolate transactions initiated by fraudsters and identity thieves. Without compromising the user experience, It can detect mobile banking fraud as well, enabling businesses organizations, banks, online lenders, and other financial establishments to quickly discover and prevent threats from mobile channels and devices. ThreatMark is built to analyze and detect all types of banking fraud in real-time, including phishing, banking malware, account takeover, and more. ThreatMark is a reliable IT security software with features that give its users the following benefits: ThreatMark Clair makes it easy for lenders to make data-driven decisions based on reliable and actionable information. Clair analyses the user on-the-fly when he/she is filling the application form. The scores will help online lending companies determine if a customer has satisfied all the requirements for an online loan or how risky the user appears to their business. It gathers detailed consumer data from various online sources and automatically creates a profile per customer based on the collected data and risk scores generated by a powerful machine-learning algorithm. The other one is ThreatMark Clair which is designed primarily to support online consumer lending apps. It also uses an evidence-based cyber threat detection mechanism and a comprehensive digital identity verification technique. ![]() AFS not only utilizes machine learning technology to detect fraudulent characters and transactions. The first one is the Anti-Fraud Suite (AFS) which is built to assess risk levels of digital payments and online banking transactions. ThreatMark offers two products to meet the unique needs of its users. ThreatMark incorporates machine learning-based analytics to generate extremely accurate analysis per individual and transaction. ![]() Together with Threat Detection, and Transaction Risk Analysis allows to assess risk levels of individuals and transactions. The software utilizes a Deep Behavioral Profiling engine can distinguish between a legitimate user and a fraudster by creating unique profiles, then comparing any current activity of a user to the previous records of their profile. ThreatMark provides a modular fraud detection suite for various businesses and organizations, helping them evaluate online financial transactions and identify potentially fraudulent partners and processes to minimize fraud and credit risk. ![]()
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