Global AI Assurance · Layer 05

    AI Runtime Assurance

    Static governance assesses a system, approves it and deploys it. That works when behaviour is fixed. It does not work when a system retains memory, reaches tools, interacts with other agents and changes with every version. Institutions need to see what systems are doing, test how they behave and intervene while it matters, not only before deployment.

    Static lifecycle

    AssessApproveDeploy

    Ends. Produces a point-in-time opinion.

    Runtime assurance

    Observe · Evaluate · Control · Intervene · Evidence · Learn · Reassess ·

    Does not end. Produces a current position and the evidence behind it.

    The loop

    R1 · Observe

    What is the system actually doing right now?

    Telemetry at the level of the action, not the deployment. Every invocation carries the identity of the agent that made it.

    Output

    Action stream with agent, tool, data and jurisdiction attached.

    What intervention actually means

    Intervention is a designed capability with an owner and a tolerance. These are the dispositions available, in increasing severity.

    Throttle

    Reduce rate or scope while the position is assessed.

    Hold

    Queue the action pending a named human decision.

    Downgrade

    Move the agent to recommend-only authority.

    Refuse

    Reject the action and record the boundary engaged.

    Quarantine

    Withdraw the agent from the estate until released.

    Runtime assurance is human-governed throughout. Nothing here executes without an accountable owner, and no disposition is applied without a record of who applied it.

    Global AI Assurance