Zero Trust Decision Flow

    Signals -> risk scoring -> policy decision -> enforcement -> immutable evidence. The operational loop that makes Zero Trust measurable.

    Decision Flow
    ZTA
    Telemetry
    Risk
    Policies
    Evidence
    7 min
    Last updated: 2026-01-04

    The loop

    • Collect signals (identity, device, network, workload).
    • Compute risk and trust posture.
    • Evaluate policy and produce a decision.
    • Enforce the decision close to the asset.
    • Record immutable evidence and verify outcomes.

    Signals

    • Authentication and verification outcomes.
    • Integrity state and tamper indicators.
    • Patch and vulnerability posture.
    • Unexpected east-west movement attempts.

    Risk scoring

    Risk scoring prioritizes what matters most using severity, criticality, and blast radius context.

    Policy decision

    Policies combine subject/resource/action/context to decide allow/deny/step-up/quarantine.

    Enforcement

    Enforcers apply segmentation and access controls; OT can use staged enforcement to avoid downtime.

    Evidence

    Every decision includes the “why”: which signals and policy version produced the action.

    Examples

    • High-risk remote admin -> require step-up verification and notify SOC.
    • Integrity failure -> quarantine device and open an incident ticket.
    • New lateral connection path -> block and alert until validated.