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

    1. 1
      Set latency SLOs
      by zone (OT may require tighter bounds for safety operations).
    2. 2
      Scale enforcement points
      (edge gateways, policy engines) when volume increases.
    3. 3
      Investigate spikes
      : correlate with network topology or device trust failures.
    4. 4
      Use this as proof
      that 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
    Continuous Authentication Monitor screenshot