CISO • LIVE
Continuous Authentication Monitor
Live view of authentication/authorization decision latency and decision volume across your environment.
What it shows
This chart answers “Can we enforce Zero Trust at scale without slowing operations?” It tracks real-time latency of policy decisions and overall throughput.
How it’s calculated
- Latency measured from signal ingestion → policy evaluation → enforcement confirmation.
- Decision volume counts authz decisions/sec across users, machines, and workloads.
- Outliers are highlighted (spikes from network degradation or overloaded gateways).
What to do next
- 1Set latency SLOsby zone (OT may require tighter bounds for safety operations).
- 2Scale enforcement points(edge gateways, policy engines) when volume increases.
- 3Investigate spikes: correlate with network topology or device trust failures.
- 4Use this as proofthat security controls do not introduce operational downtime.
KPIs to watch
Avg latency
ms
Peak latency
ms
Decisions/sec
throughput
Why this matters to a CISO
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
