ADVANCED CYBERSECURITY TECHNOLOGIES: HOW IT WORKS
Kaspersky’s next generation technologies and multi-layered approach form the foundation of award-winning solutions that protect users from any type of cyberattack. Here you can learn about our methods in details.
Decision tree ensembles, locality sensitive hashing, behavioral models or incoming stream clustering - all our machine-learning methods are designed to meet real world security requirements: low false positive rate, interpretability and robustness to a potential adversary.
To detect and respond effectively to the most complex threats, including APTs, advanced technologies such as machine-learning, sandboxing, and automated/proactive threat hunting need to be applied to events and objects aggregated from right across the corporate infrastructure.
Unlike single endpoint solutions, the EDR-class solution provides multi-host event visibility and “heavy” methods of detection (sandbox, deep learning models, event correlation) as well as expert tools for incident investigation, proactive threat hunting and attack response.
The complex cloud infrastructure collects and analyses cybersecurity-related data from millions of voluntary participants around the world to provide the fastest reaction to new threats through the use of Big Data analysis, machine learning and human expertise.
Based on Host-based Intrusion Prevention System (HIPS) and Self-Defense technologies, Safe Money allows you to protect online financial transactions from phishing, man-in-the-middle (MITM) and other attacks by performing browser processes in the secured container.