Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations
This paper presents AuditBench, a new benchmark dataset for evaluating the capabilities of LLMs at investigating security-related system audit logs. We design and use this benchmark to explore the performance of LLMs on four log-investigation tasks that incident response teams commonly perform, ranging from triaging alerts generated by detectors to identifying persistence mechanisms on compromised systems. AuditBench consists of system audit logs collected from Linux and Windows machines, and spans over 50 different security investigation scenarios, including both malicious and benign activity. Using our benchmark, we evaluate and analyze the performance of five frontier LLMs at analyzing...
| Authors | Aniket Anand, Yiwei Hou, Daniel Fields et al. |
|---|---|
| Primary category | cs.CR |
| Published | 9 June 2026 |
| Last updated at source | 26 September 2026 |
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