A cyber security incident response management system and knowledge base designed to coordinate team efforts and capture team knowledge.
SCOT (Sandia Cyber Omni Tracker) is a cyber security incident response management system and knowledge base designed to help security teams manage alerts, analyze data, coordinate efforts, and capture team knowledge. It integrates with existing security tools to provide a holistic view of incidents and reduce the cognitive load on analysts. The system automatically identifies indicators to aid in discovering advanced threats and centralizes data to minimize contextual shifts between detection systems.
Cyber security incident response teams and analysts who need to manage alerts, coordinate team efforts, and maintain a searchable knowledge base of past incidents and research.
Developers choose SCOT because it is purpose-built for cyber security investigations, offering flexibility for non-linear workflows and effectively capturing team knowledge. It eliminates the steep learning curve of traditional SIEMs and integrates seamlessly with existing tools to enhance analyst productivity.
Sandia Cyber Omni Tracker (SCOT)
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Designed to remove friction between analysts and tools, with a consistent interface that reduces cognitive load, as emphasized in the philosophy section.
Effectively captures and shares team research, making over 700K indicators searchable and accessible, which enhances training and response efficiency per the benefits.
Automatically identifies indicators from alerts to help discover advanced threats, fusing detection data with accumulated team knowledge for deeper patterns.
Processed over 1.6 million alerts with 99.9% availability, demonstrating scalability for high loads without adding team members, as noted in the benefits.
SCOT version 3 is explicitly marked as End of Life with a redirect to SCOT 4, meaning no future updates, security patches, or official support for this version.
Legacy installation requires specific OS versions like Ubuntu 16.04 or CentOS 7.3, and the process is verbose and time-consuming, with potential debugging needed from log files.
Documentation is split between Read the Docs and GitHub, and upgrade notes reference external issues (e.g., Issue #55), indicating maintenance gaps and potential confusion.