CISO • THREAT MODEL

    MITRE ATT&CK Techniques

    Prioritizes observed and blocked techniques mapped to ATT&CK—useful for reporting and control coverage.

    What it shows

    This list translates detections into a common language your security team and leadership already use. It supports coverage reviews, purple-team exercises, and board reporting.

    How it’s calculated

    • Signals are mapped to ATT&CK techniques based on behavior and context.
    • Technique ranking combines frequency, severity, and proximity to crown-jewel assets.
    • Control mapping highlights which Zero Trust policy or sensor produced the detection.

    What to do next

    1. 1
      Pick top 3 techniques
      and validate controls (prevent, detect, respond) end-to-end.
    2. 2
      Schedule tabletop exercises
      using observed techniques as scenarios.
    3. 3
      Close gaps
      by tightening access policies or adding coverage in missing zones.
    4. 4
      Report progress
      using technique coverage as a simple “security maturity” metric.

    KPIs to watch

    Top technique
    T####
    Blocked vs allowed
    ratio
    Coverage gaps
    count

    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
    MITRE ATT&CK Techniques screenshot