Log and incident analysis
SIEM and Data Lake systems collect, correlate, and analyze data from various sources, enabling real-time threat detection. These solutions form the foundation for effective security monitoring and incident response.
Data Lake
About this solution
In the context of cybersecurity, a data lake is a flexible repository that enables the collection, storage, and analysis of vast amounts of telemetry data from various IT sources. Unlike traditional databases, a data lake stores data in its raw form, which allows it to be used later in various analytical cases – from incident correlation, through threat hunting, to forensic analysis. These solutions support various types of data – logs, events, binary data, API, network, and cloud data. They enable integration with SIEM, SOAR, XDR, and big data analytics and machine learning tools. A key feature of Data Lake is scalability – the ability to handle data from across an organization's entire infrastructure. They offer flexible APIs and query tools. They support the development of complex threat analysis and compliance reporting models. Data Lake is the foundation of modern data-driven security platforms. It enables organizations to move from a reactive to a predictive approach to threats.
Products
Benefits of Implementation
Scalable storage of raw telemetry data.
Advanced threat and trend analysis capabilities.
Support for machine learning and automated detection.
Flexible integration with SIEM, SOAR, and XDR.
Regulatory-compliant data retention.
Build a strong analytical foundation for your SOC.
