Hayabusa is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs.
Hayabusa addresses the challenge of analyzing Windows event logs at scale during incident response and forensic investigations. It processes event logs using Sigma detection rules, which are open-source, community-maintained signatures for identifying suspicious activity. The tool generates forensic timelines while simultaneously hunting for threats, allowing security teams to both reconstruct what happened and detect indicators of compromise in a single pass. It is written in Rust, providing memory safety and performance characteristics suited to processing large volumes of log data.
Organizations should adopt Hayabusa if they need to perform rapid threat hunting or forensic analysis on Windows environments and want to leverage the Sigma rule ecosystem. It suits teams already invested in Sigma rules or those building detection pipelines around community-driven signatures.
The project shows consistent development activity with regular updates to the codebase. Maintenance includes ongoing refinement of core functionality and responsiveness to issues raised by users. The tool receives contributions that expand its capabilities and improve its handling of edge cases in event log processing.
