Introduction
AI is useful in security when it narrows attention: ranking alerts, clustering related events, or highlighting unusual paths through a system.
It becomes dangerous when teams treat a score as a decision. Someone still has to accept the risk, change the control, or leave the system as it is.
Keep a human on the loop
PCS builds programmes where models assist the loop without replacing it. Intelligence stays accountable even when the analysis is automated.
- 01
Narrow attention, do not replace it
Models are useful when they rank, cluster, or highlight. They are not useful when they hide who decided.
- 02
Name the owner
Every recommended action needs a person who can accept, change, or refuse it.
- 03
Keep a record
The organisations that use these tools well can show why an action was taken, not only that a model scored it.