How AI improves threat detection
The volume problem
A modern cloud environment produces millions of events a day. No team can read them all, and rule-only detection either misses new behavior or drowns analysts in alerts.
What AI adds
- Baselines: models learn what normal looks like for each user and workload
- Anomaly spotting: unusual locations, volumes or sequences stand out
- Prioritisation: related events are grouped and ranked by risk
What it does not replace
AI is a force multiplier, not a substitute for analysts. People validate alerts, understand business context and decide how to respond.
Practical tips
- Feed models good, complete logs
- Tune against your own environment
- Review outcomes and feed lessons back in
Our Threat Detection service combines both approaches.