SC-RED-01

    Red-Force Behaviour Agent

    Adversary doctrine simulation & RL red-teaming.

    Doctrine alignment
    Designed to support JIPOE workflows described in STANAG 6527 / AIntP-17.
    Deployment
    Sovereign cloud or on-prem; fully air-gappable.
    Underlying products
    SynapseMesh™VerityGridAI™
    01

    Purpose

    Commanders need to understand what an adversary can do before they commit friendly forces, but generic threat summaries hide the doctrine that shapes real behaviour. SC-RED-01 models adversary intent and likely courses of action by combining reinforcement-learned policies with retrieval over sovereign doctrinal corpora. It conditions behaviour on observed pattern-of-life and ISR indicators, then returns probable COAs, most-dangerous and most-likely postures with explicit confidence intervals. Every inference is tagged to the source doctrine and sensor data that shaped it, so red-teaming outputs can be audited rather than trusted.

    Wargaming cell reviewing adversary courses of action on large displays
    Adversary modelling cell
    02

    Architecture

    Adversary order of battle, doctrinal corpora and ISR indicators enter through STANAG-aligned adapters and are normalised into the mesh schema. The reasoning core combines reinforcement-learned adversary policies with retrieval over sovereign doctrinal corpora, so behaviour is grounded in published doctrine rather than free generation. Pattern-of-life data conditions the model toward the observed adversary, not a generic one. Every model tag is checked against the fail-closed register before inference; an unapproved tag is refused. Outputs, including most-likely and most-dangerous postures, are sealed with full provenance to CyberFort Blockchain.

    IngestAdversary order of battle · Doctrinal corporaISR indicators · Pattern-of-lifeReasoning coreReinforcement-learned adversary policiesRetrieval over sovereign doctrineConditioning on observed adversaryPolicy & assuranceModel tag checked before inferenceUnapproved tags refusedOutput & provenanceMost-likely and most-dangerous posturesFull provenance chain · Sealed decision record

    Hover or focus a band to see what it guarantees.

    03

    Inputs and outputs

    Typical inputs
    • IN-01Adversary OOB
    • IN-02Historical doctrine
    • IN-03ISR indicators
    • IN-04Pattern-of-life
    Outputs
    • OUT-01Probable adversary COAs
    • OUT-02Most-dangerous / most-likely posture
    • OUT-03Doctrinal red-teaming reports
    05

    What it does not do

    It does not predict individual adversary decisions with certainty and never presents a single-outcome forecast. All postures carry explicit confidence.

    06

    The same four gates as every agent

    Fail-closed model register

    An unregistered or unapproved model tag is refused before inference, not flagged afterwards.

    Five-role RBAC

    Every action is scoped to a declared role. Scope is checked at the engine, not in the prompt.

    Supervised quarantine

    New or changed models run under supervision until their evaluation evidence is accepted.

    Human-on-the-loop

    Irreversible decisions require a signed human authorisation recorded with the decision.

    The agents differ in what they reason about. They do not differ in what they are allowed to do.

    07

    Deployment

    Sovereign Cloud

    In-country, accredited cloud, under your jurisdiction and operational control.

    Applicable
    On-Premises Classified

    Designed for deployment up to NATO SECRET. Accreditation is per deployment.

    Applicable
    Air-Gapped Tactical

    Runs disconnected. Inference, agents and the decision record are all local.

    Applicable

    Ready to see SynapseCommand® in action?

    Briefings available under NDA. Classified briefings arranged through cleared channels.