All data is encrypted in flight and at rest and deleted after your report has been created.
How does it work?
Machine learning structures each event and builds a “dictionary” of event types. This lets us reliably learn normal patterns and detect anomalies. Anomaly factors include: first occurrence of an event, change in frequency or periodicity and correlations across files or streams. You can read more about it here.