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Agentic AI governance, for risk and security leaders

Let agents do more of the work, with a human accountable for every decision.

Your systems decide whether an agent can act. Icebreaker decides whether it should: this action, now, for the purpose the business approved. Stop what was never authorised. Escalate what needs a person. Trace everything else to the human who delegated it.

1. See it decide

Permission is not authority

Pick a process, then an action the agent attempts. Every one is permitted by the underlying system. Watch what runtime governance does with each.

Agent persona

Purpose
Acts alone up to
With approval up to
Accountable owner
The agent attempts
ALLOWPermitted by the underlying system: yes

    Objective set by
    Accountable

    Recorded: the objective, intent, action, the policy applied, the outcome and the reasoning behind it.

    Illustrative and simplified. Names and limits are examples, not a client configuration.

    2. What could your agent do today?

    Authorised access is not authorised behaviour

    Take one agent. Using your own figures, see how much it could act on in a day if nothing stops it, and which controls narrow that most.

    Whatever the systems it can reach would allow, in USD.

    $

    Payments, updates or approvals it could make.

    The most you would let it do without a person, in USD.

    $
    Could be acted on in a day, with the controls you ticked
    $0
    With every control in place
    $0

    What would narrow it most

      Your figures stay in this browser. A worst case from what the agent can reach, not a forecast of loss.

      3. What remains

      Nothing executes outside the authority a person delegated

      Where a bad outcome still occurs, it is because a person approved it, instructed it, or it fell inside the authority a person delegated. Each case is traced to that person, with the reasoning recorded.

      Fails closed

      If a check errors, or anything tries to go around it, the action does not execute.

      Not replaced

      Model validation, testing, data quality, and your existing identity, access and fraud controls.

      Not included

      The cost of the solution, delivery and operation. This is an illustration, not a quotation.

      The bigger prize

      What that autonomy is worth in your exception queues

      Governance is what lets agents take on the exceptions your rules could never automate. See the value in the STP savings calculator.

      Open the STP calculator

      Find out what authority your agents actually have.

      We will map one agent’s authority with your risk team and run it under runtime governance in your environment. Icebreaker is patent pending, with pilots and proofs of value in progress with regulated enterprises, and deploys on premises or in your cloud tenancy.

      Talk to Midships