Sure, turn the logs into a data set first. Pull out timestamps, source IPs, event types, and any flags. Normalize the fields, then run a quick frequency analysis to spot recurring patterns. Feed those features into a simple model—maybe a random forest or even a rule engine—so you can flag anomalous activity before it escalates. Keep the model lean and test it on recent data; that way you save fire‑fighting time and stay ahead of the threat.