New Cloud Fraud Prevention Solution Enables Machine Learning and Big Data Analysis for Enhanced Multi-Channel Protection
Woburn, MA – March 17, 2017 – Today, Kaspersky Lab has released Kaspersky Fraud Prevention Cloud, a new solution for organizations facing risks from fraudulent activity as a result of fast-growing online services. The new product features a set of cloud-based technologies designed to give banks, financial institutions, loyalty schemes providers and government agencies real-time protection against fraudsters.
The new Kaspersky Fraud Prevention Cloud offering delivers multi-channel protection for both organizations and users to control prevention costs and help reduce losses from fraud. The solution incorporates advanced technologies to improve the visibility and detection of suspicious activity without undermining the user experience. Behavioral analysis and biometrics help to identify whether a person is real, without any additional actions or procedures required by the user. Behavior is analyzed through mouse movements, clicks, scrolls, keystrokes on PCs, and accelerometer/gyroscope position and gestures (touch, swipes and etc.) on mobile devices.
Kaspersky Fraud Prevention Cloud accumulates and analyzes user behavior, device, environment and session information as anonymized and depersonalized big data in the cloud, making it available to expert forensics and automatic offline analysis. This new information feeds into an organization’s internal Enterprise Fraud Management system, which enables proactive fraud detection in real-time, even before a transaction occurs. This approach is based on Humachine intelligence by Kaspersky Lab — a combination of big data and threat research analysis with machine learning algorithms and the expertise of the company’s best security teams.
Risk Based Authentication (RBA) assesses the risks before a user is logged into a digital channel, providing decisions to internal back-end systems on whether to proceed, request additional authentication information or block access until further verification. This feature improves usability for ‘legitimate users’ by decreasing the number of authentication stages, while the ‘unauthorized users’ are detected before they commit any fraudulent activity.
Continuous Session Anomaly Detection also helps to maximize fraudulent detection by identifying account takeover, new account fraud, money laundering, automated tools or any suspicious processes that occur during the session. As such, Kaspersky Fraud Prevention Cloud acts not only during the login process, but also during the whole session, building statistical models of various behavioral patterns with the help of machine learning technologies.
As a part of Kaspersky Fraud Prevention Cloud, clientless malware detection combines direct and proactive detection techniques. First, it identifies whether a customer’s device is used to directly attack a particular organization’s digital services. Second, it helps to identify malware that is not affecting the organization directly but could potentially be adapted for this purpose in the future. This technology allows a company to minimize risk and prevent losses from an actual attack when one occurs.
"Within our Fraud Prevention team, we have a dedicated group of experts — our Fraud Research and Analysis Group — that provides support to clients in mitigating fraud risks, conducting forensics of fraud incidents, and controlling fraud prevention costs,” said Alexander Ermakovich, head of fraud prevention, Kaspersky Lab. “Relying on our expertise, we offer consulting and incident response services for highly complicated fraud attacks. This expertise feeds into our cloud solution, improving it and ensuring it is ready to help our clients fight the constantly evolving threats and fraud tactics."
Kaspersky Fraud Prevention Cloud is now available globally. For more information on the solution, pricing and contact information for potential customers can be found on the linked here.