All courses / AI Red Team / Module 2 / Chapter 5
Learning objectives
After the lesson the participant can:
- Explain the difference between risk appetite and risk tolerance, and between an autonomy ceiling and a running autonomy level.
- Identify the four additions the context record needs when AI is in scope.
- Revise five risk assumptions built for slower adversaries and state the consequence of each for the strategy.
- Draft a risk-appetite statement for security AI with ceilings per usage mode, error tolerances and review triggers.
Key concepts
- Three dimensions of appetite
- For security AI the appetite covers error, autonomy and reversibility. The appetite is a short statement the management body can read; the tolerances are numbers a pipeline can check, measured on the organisation's own evaluation set and not a vendor's benchmark.
- Autonomy ceiling
- The highest autonomy level that any security AI in a given usage mode may reach without a decision of the management body. Within it the AI governance board or the CISO may raise a level on evidence; above it, a proposal is risk beyond appetite.
- Automatic step down
- The named action on a breach of error tolerance: the level falls automatically by one until the owner has investigated. The chapter's default is a missed-threat rate of at most 2 per cent for anything at Level 2 Supervised or above.
- Recognition is not verification
- The revised assumption on synthetic media: for decisions that move money, change payees, reset credentials or approve security exceptions, the strategy requires verification through a channel the requester does not control.
- Change-triggered review
- The statement names its triggers, such as a new system, a model version change, a mode or level change, an incident, a red-team finding or a supplier change, and the pipeline opens a review when one fires. The calendar backstop only catches triggers the organisation failed to define.
Interactive exercises
Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.
Interactive exercise 1 · Sort
Earlier and revised risk assumptions
Sort each assumption about the adversary or the tooling: is it the earlier basis or the revised basis in the chapter's table?
Interactive exercise 2 · Scenario
A tolerance breach at Level 3
Apply Hansa Mutual's risk-appetite statement HM-RAS-SECAI to an evaluation result.
Teaching plan
| 15 min | The teacher presents GV.OC with the four additions to the context record and the obligations table; participants list the security AI their own defence depends on, including ambient features. |
| 15 min | Walk through error tolerance, autonomy ceilings and reversibility, using the typical pattern of ceilings per mode and the two fixed limits. |
| 10 min | Participants take the table of revised assumptions and mark which earlier basis their current strategy still rests on. |
| 25 min | Exercise: groups write a risk-appetite statement for security AI following the seven steps and the Hansa Mutual statement HM-RAS-SECAI. |
| 10 min | Groups compare ceilings; the teacher shows how the chaos experiment verifies that a registered system or a supplier notice opens a review within one working day. |
Discussion
- Why is an appetite that the CISO sets alone incomplete under the provisions of NIS 2 and DORA that the chapter cites?
- Hansa Mutual reports the tenth percentile of approval time as a risk indicator. What does it reveal, and what should the organisation do when it falls?
- The chapter records security AI as a strategic opportunity under GV.RM-07. How should a management body weigh the risk of using security AI against the risk of not using it?
Written exercise
Exercise · 25 minutes
Write a risk-appetite statement for security AI
For Nordvik Region or your own organisation, follow the practical guide. List the security AI in the context record, including Mode 0 features and a managed security service provider's AI, with usage mode, current level, owner and identity. Classify each one's actions as reversible within minutes on a single target, reversible with effort, or irreversible. State the appetite in one paragraph in terms of consequences, not technology. Set an autonomy ceiling per usage mode with the two fixed limits, set error tolerances for one use case with the step down on breach, and name the review triggers, the time within which a review opens and the calendar backstop.
Deliverable: A risk-appetite statement with an appetite paragraph, fixed limits, ceilings per usage mode, error tolerances for one use case, review triggers and the approving body.
Self-test
Choose an answer to see whether it is right, or open the answer below each question.
What does the chapter mean by an autonomy ceiling?
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C. The highest level security AI in a given mode may reach without a decision of the management body
The chapter stresses that a ceiling is not the level a system runs at but the limit within which the AI governance board or the CISO may raise a level on evidence.Why does error tolerance measured only on benign inputs overstate the performance of security AI?
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A. Because alert content can be crafted to steer the model, so behaviour under attack differs
The chapter recalls that manipulation through content is a property of the architecture, so the evaluation set needs an adversarial share, which Chapter 13 supplies.In Hansa Mutual's statement, what does the entity override do?
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D. It keeps the ceiling at Level 1 Assisted where employee representatives have not yet agreed
The override keeps the ceiling at Level 1 Assisted in any entity where employee representatives have not yet agreed to a tool that can act on employees' accounts, so one group statement respects national labour law.