I am looking into anomaly detection of IT assets using machine learning for my organization. We have hourly updates on device hostnames, manufacturer, model, and 60 other fields. I want to build a model that detects anomalies if a device changes models/manufacturers from the last hour’s upload. Eventually, I’d like to be able to recommend these to security personel who can vote if the model output is security related or not. What models should I consider?