OpenSOC
OpenSOC integrates a variety of open source big data technologies in order to offer a centralized tool for security monitoring and analysis. It provides capabilities for log aggregation, full packet capture indexing, storage, advanced behavioral analytics and data enrichment, while applying the most current threat intelligence information to security telemetry within a single platform. OpenSOC can be divided into 4 areas: A mechanism to capture, store, and normalize any type of security telemetry at extremely high rates. Because security telemetry is constantly being generated, it requires a method for ingesting the data at high speeds and pushing it to various processing units for advanced computation and analytics. Real time processing and application of enrichments such as threat intelligence, geolocation, and DNS information to telemetry being collected. The immediate application of this information to incoming telemetry provides the context and situational awareness, as well as the who and where information critical for investigation. Efficient information storage based on how the information will be used: Logs and telemetry are stored such that they can be efficiently queried and retrieved.
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Python library and command line tools for log visualization with interactive plots.
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