Kaspersky Fraud Prevention is powered by a complex range of advanced technologies with Machine Learning applied for proactive detection of sophisticated fraud schemes across web and mobile channels. This empowers your current systems to benefit from additional context for proactive and more accurate decision making, as well as for intelligent and adaptive use of step-up authentication.
Agentless Malware Detection
Agentless Malware Detection checks if the customer’s machine is infected with malware without any additional software installed on the user side. This information is used to determine the legitimacy of transactions, as well as for Risk Based Authentication and Machine Learning modelling.
Behavioral Biometrics analyses your unique customer’s interaction with their device, looking at mouse movements, clicks, touches, swipe speed and more, to detect whether a device is being used by a legitimate customer or not. This technology also detects bots and remote administration tools illegitimately accessing accounts.
Device and Environment Analysis
Device and Environment Analysis leverages the global presence of Kaspersky Lab to identify good devices and use this knowledge for user authentication. Based on global device ID, IP-address, location reputation and more, any attribute involved in fraudulent activity is proactively identified and shown as suspicious or related to fraud.
Behavioral Analysis looks at the user’s activity during login and throughout the session, analysing typical navigation and time patterns, how the user acts in the personal account, what he clicks and more. This data allows profiles of normal behaviour to be built and any abnormal or suspicious activity to be detected.