CISO • POLICY

Policy Deviation Trend

Shows non-compliant actions over time and whether policy drift is improving or worsening.

What it shows

Policy drift is the silent killer of Zero Trust. This trendline shows where real operations are diverging from intended controls.

Deviation events generated when access, segmentation, or identity rules are bypassed/violated.
Trends computed per zone, per asset class, and per identity type (user/machine/service).
Correlates deviations with incidents and risk score movements.

1
Identify recurring deviations
and remove root causes (legacy accounts, unmanaged devices, broken workflows).
2
Replace exceptions with compensating controls
and enforce expiry dates.
3
Adjust policies safely
via staged rollout in OT to avoid downtime.
4
Report drift reduction
as a leading indicator of improved security posture.

Deviation count

/period

Top deviating zone

name

Exception expiry

days

AI only works if it’s trustworthy

If models drift or confidence drops, you’re flying blind. This keeps the AI layer honest.

Drift is normal in OT

New firmware, new shifts, new processes—all cause drift. You need to detect it early before it erodes detection quality.

Confidence drives automation

You can’t let AI auto-contain based on shaky confidence. This metric ensures automation stays aligned with risk appetite.

Feedback loops improve accuracy

Every analyst decision sharpens the models. This closes the loop between human intelligence and machine learning.

Reference UI Screenshot