Global AI Assurance · Regulatory assurance

    AI Regulatory Framework Builder

    A standards body or a national authority does not need software that reports compliance. It needs a way to express a framework so that the framework itself can run: taxonomy, control objectives, obligation mappings, jurisdictional overlays, evidence requirements, evaluation methods, supervisory thresholds and reporting.

    Policy as code, for AI regulation.

    Published as reference architecture. Control weights, grading rubrics and the full control set are set per engagement.

    Ten steps

    Each step produces an artefact, not a statement of intent.

    01

    Define principles

    The stated outcomes the framework exists to achieve, in language that can be tested.

    02

    Define the AI risk taxonomy

    Categories and thresholds, with the test that places a system in each.

    03

    Select control objectives

    The baseline control set, each written as something that can observably fail.

    04

    Map applicable laws

    Authority to obligation to control, per jurisdiction in scope.

    05

    Create jurisdictional overlays

    The additional obligations, controls and evidence each jurisdiction adds.

    06

    Define evidence requirements

    The artefact, its owner, its cadence and where it must be held.

    07

    Define evaluation methodologies

    What is tested, by whom, how often, and what dispositions are available.

    08

    Define supervisory thresholds

    The values that trigger enquiry, escalation or intervention.

    09

    Define reporting

    Who reports what, to whom, on which clock, from which trigger.

    10

    Deploy continuous monitoring

    The framework becomes machine-readable and runs, rather than sitting in a document.

    Output

    The output is a machine-readable assurance framework: taxonomy, control objectives, obligation mappings, overlays, evidence requirements, thresholds and reporting, expressed so a system can execute them and a supervisor can inspect them.

    Cabier does not write regulation and does not hold a supervisory mandate. It provides the architecture that lets an authority express one, monitor against it continuously, and inspect the evidence that results.

    Model, system and regulatory assurance run on one kernel. The framework is what the kernel executes.

    Back to the assurance fabric