Kaspersky Lab has released a new generation of Kaspersky Fraud Prevention solutions, comprising of two standalone products. Kaspersky Advanced Authentication, aims to prevent account compromise scenarios when developing digital channels; Kaspersky Automated Fraud Analytics keeps fraudulent activity under control, enabling accurate and timely decisions when investigating sophisticated fraud cases and cross-organizational money laundering schemes. This diversification of the Fraud Prevention offering aims to provide organizations with tailored solutions against different fraud-related challenges.
Kaspersky Advanced Authentication: securing the growth of digital business
Due to the rapid development and growth of digital channels, online fraud has become a problem for a broad range of businesses beyond the finance sector, including loyalty program providers and eCommerce organizations. It has become increasingly important for these businesses to improve the security of online transactions and minimize the risk of fraud (e.g. account takeover, new account fraud), while maintaining a greater user experience and reducing the costs of implementing additional security measures, such as multifactor authentication.
To help businesses overcome these challenges, Kaspersky Advanced Authentication leverages a set of technologies that identifies an anomaly or possible fraudulent activity at both the login and session stages, and flags it to the organization for additional checks and confirmation with the user.
The solution analyzes behavioral and biometric data, device reputation and other valuable non-personalized metadata, while machine learning and complex mathematical algorithms ensure high detection rates and reduce anomaly detection time. The authentication process does not require any specific actions from the user, allowing businesses to prioritize high user retention and growth of their digital channels.
Kaspersky Automated Fraud Analytics: informed action against fraud and money laundering
Financial crimes, including fraud and money laundering, remain a serious concern for the modern economy, which explains why regulating bodies push new legislations to prevent such crimes. This puts a responsibility on financial organizations who must achieve complete transparency in their operations, not only for the sake of their businesses, but also to maintain compliance with evolving regulations.
Kaspersky Lab’s Automated Fraud Analytics helps businesses minimize fraud-related costs and reduce the risk of fines for non-compliance from regulating organizations. It adds an extra level of knowledge of industry-specific fraud and money-laundering scenarios, through access to fraud intelligence, combining this knowledge with advanced technologies that automatically detect serious incidents at early stages.
During the entire user session, Kaspersky Automated Fraud Analytics gathers and analyzes hundreds of depersonalized indicators, such as user’s device and its environment, behavioral and biometric patterns of a user, RAT and bot usage, mobile malware and web injects.
With the help of machine learning algorithms, the solution then correlates these findings with the patterns of account takeover, new account fraud and money laundering, via Kaspersky Fraud Prevention Cloud and global fraud intelligence based on big data. Due to the linking and mapping functionality, the solution can also automatically identify cross-organizational money laundering schemes by looking for correlations between typical profiles, devices used, behavioral patterns and many other details of the sessions that are known to be involved in similar operations.
The new Kaspersky Fraud Prevention offering is available globally. More information about the solution, its pricing and contact information for customers is available on our website.