CISO • ASSETS

    Asset Risk Heatmap

    Visualizes risk distribution across critical OT/IT assets—helps identify clusters, outliers, and systemic issues.

    What it shows

    Use the heatmap to quickly spot “hot zones” (e.g., a plant, a line, a DMZ) where multiple assets are trending risky. It is excellent for prioritizing site-based remediation.

    How it’s calculated

    • Each point represents an asset with score based on exposure + behavior + criticality.
    • Clustering indicates shared risk drivers (same firmware family, same subnet, same vendor).
    • Time filters show whether hotspots are persistent or newly emerging.

    What to do next

    1. 1
      Drill into hotspots
      and list the common driver (CVE, open port, weak policy).
    2. 2
      Apply bulk remediation
      by group (vendor patching, segmentation rule, certificate rotation).
    3. 3
      Validate improvement
      by tracking hotspot shrinkage over 7/30 days.
    4. 4
      Use this for budgeting
      : justify investments by showing risk concentration.

    KPIs to watch

    High-risk assets
    count
    Hot zones
    count
    Time-to-remediate
    days

    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
    Asset Risk Heatmap screenshot