Foundations for Agentic AI Investigations from the Forensic Analysis of OpenClaw
Agentic Al systems are increasingly deployed as personal assistants and are likely to become a common object of digital investigations. However, little is known about how their internal state and actions can be reconstructed during forensic analysis. Despite growing popularity, systematic forensic approaches for such systems remain largely unexplored. This paper presents an empirical study of OpenClaw a widely used single-agent assistant. We examine OpenClaw's technical design via static code analysis and apply differential forensic analysis to identify recoverable traces across stages of the agent interaction loop. We classify and correlate these traces to assess their investigative valu...
| Authors | Jan Gruber, Jan-Niclas Hilgert |
|---|---|
| Primary category | cs.CR |
| Published | 7 April 2026 |
| Last updated at source | 7 April 2026 |
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