SigQL

SigQL is a query language designed for analyzing security telemetry and logs. It aims to provide a more intuitive and powerful way to explore security data compared to traditional methods like SQL or regular expressions. Developed by the security community, SigQL focuses on ease of use and expressiveness for security professionals.

The language is structured to represent security events and entities in a natural way. It allows users to define conditions and patterns that identify specific security activities, such as potential intrusions, policy violations, or anomalous behaviors. SigQL supports a wide range of data sources, including network traffic, endpoint logs, cloud audit trails, and application logs.

Key features of SigQL include its ability to handle complex relationships between events, filter data based on numerous attributes, and perform aggregations and calculations. It often incorporates concepts like time-series analysis and event correlation, which are crucial for understanding the timeline and context of security incidents.

SigQL's syntax is designed to be human-readable, making it accessible to security analysts with varying levels of technical expertise. This focus on readability aims to reduce the learning curve and accelerate the process of threat hunting and incident investigation. The language is often implemented within security information and event management (SIEM) platforms or dedicated security analytics tools.