AI-Based Policy Generation

    Generate policy drafts from intent + telemetry, validate in simulation, and apply guardrails before enforcement.

    AI
    Policies
    Simulation
    Guardrails
    9 min
    Last updated: 2026-01-22

    Overview

    QuantLayer AI accelerates authoring by proposing policy drafts based on observed baselines and desired outcomes. Human review and simulation are required before enforcement.

    Inputs & signals

    • Observed communications and dependencies.
    • Identity assurance and access patterns.
    • Integrity and patch posture signals.
    • Zone metadata (IT segments, OT cells, IoT fleets).

    Generate → Simulate → Stage → Enforce

    • Generate: propose allow rules and deny-by-default baseline.
    • Simulate: observe mode to identify breakage risk.
    • Stage: pilot a subset with approvals and rollback.
    • Enforce: expand rollout with evidence capture.

    Guardrails

    • No hard blocks on OT critical paths until validated.
    • Maintenance window enforcement controls.
    • Break-glass access with strict logging.
    • Versioned policy diffs and approvals.

    Example intents

    • Only allow engineering laptops to access PLC admin during maintenance windows.
    • Require step-up for remote shell on Tier-0 servers.
    • Quarantine devices that fail integrity checks or show tamper evidence.