Multichannel Fraud Detection Based on Machine Learning
Kaspersky Fraud Prevention delivers security across online and mobile channels. Applying both on-device and on-account protection ensures your customers are covered on all fronts. Based on advanced technologies like Behavioral, Device and Environmental Analysis, Behavioral Biometrics and Clientless Malware Detection empowered by machine learning, Kaspersky Fraud Prevention enables the proactive and real time detection of fraudulent activities before they even take place.
An Enhanced User Experience for Your Customers
Our cloud solution accumulates de-personalised data from online and mobile channels. This big data, from millions of users, is used to build behavioural patterns of 'good' and 'bad' behaviour with the help of machine learning. These patterns enable Risk Based Authentication, so 'good' users are allowed to access digital channels without additional authentication, while fraudsters are detected at an early stage. The result: improved user experience, happy customers and lower fraud prevention costs.
Tailored Cybersecurity Threat Intelligence
Our Global Fraud Research and Analysis Team provides you with a deep knowledge of your threat landscape, as well as feeding our services with fresh, relevant data. Our Fraud Prevention Consultants provide expertise on cybersecurity issues and incident response services for the most complex fraud attacks. Human Intelligence combined with Machine Learning technologies and Big Data analysis form Kaspersky Lab’s HuMachine approach to cybersecurity, ensuring high levels of protection and efficiency.
Adaptive Security Framework
Prediction and Prevention work to stop an incident before it evolves into an accident. Detection and Response define the discovery and remediation of an incident. In this paradigm, each subsequent stage requires greater resource consumption to react than the preceding stage.
Too often, security receives the budget it’s perceived to deserve, not the budget it actually needs. Security must be highly prioritised and significantly invested in to ensure successful deployment and a strong RTO.