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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.

Machine Learning in Cybersecurity
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.
Kaspersky Anti Targeted Attack Platform (KATA)
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.
Behavior-based Protection
Threat Behavior Engine with ML-based models can detect previously unknown malicious patterns at the earliest stages of execution, while memory protection and remediation engine prevent user data compromise and loss.
Fileless Threat Protection
Fileless threats don’t store their bodies directly on a disk, but they cannot bypass advanced behavior-based detection, critical area scanning and other protection technologies.
Ransomware Protection
Safeguard against ransomware at the malware delivery and execution stages using technologies in the multi-layered protection stack.
Multi-layered Approach to Security
True cybersecurity should be based on the synergy of various protection techniques, from classic AV records to behavior-based detection with deep learning models.
Big data - The Astraea Technology
The expert system aggregates all statistics and meta-data about suspicious objects worldwide in real-time, producing detection decisions immediately available to all users through Kaspersky Security Network cloud.
Anti-Rootkit and Remediation Technology
Some procedures of detection and neutralization target particular rootkit techniques, while other anti-rootkit modules scan system memory and various critical areas where malicious code could be hiding.
Kaspersky Security Network (KSN)
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.