Graph traversals and time travel: incident response in one query language

The article introduces the use of SurrealDB for incident response by leveraging graph data models and time-travel queries to overcome the limitations of traditional flat CMDB tables. It explains how security teams can more effectively assess risk by focusing on the relationships between assets and their historical states, rather than static information. The graph model in SurrealDB allows for intuitive queries that map directly onto network traversals, enabling quick identification of potential threats, such as blast radius, lateral movement, and crown-jewel exposure, through simple commands. Additionally, the VERSION clause in SurrealDB facilitates temporal querying, allowing analysts to reconstruct the state of the network and its vulnerabilities at specific moments in time, thereby providing a comprehensive view of incident exposure and potential attack vectors. This approach enhances the ability to proactively manage and respond to security incidents by providing a dynamic, queryable representation of an organization's asset landscape.

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