All courses / AI Red Team / Module 2 / Chapter 7
Learning objectives
After the lesson the participant can:
- Match each usage mode to its policy instrument and state what the instrument fixes.
- Explain the roles in a TIBER-EU test and the four places where AI enters a threat-led test.
- Apply the six rules for offensive AI capabilities as dual-use controlled assets.
- Draft a rules-of-engagement manifest with scope, AI participation, stop conditions and an out-of-band stop path.
Key concepts
- Three layers of policy
- A statement approved by the management body, standards that interpret it for each usage mode, and enforceable rules as code at the AI gateway, the policy decision point and the pipeline gates. One rule that refuses an out-of-scope tool call serves several obligations at once.
- Policy instruments by usage mode
- Supplier assurance for Mode 0, acceptable-use standards for Modes 1 and 2, a governed skills and connector catalogue for Mode 3, decision records for Mode 4, and permission manifests and rules of engagement for Mode 5. Policy for Modes 1 and 2 is about people; for Mode 5 it is about boundaries.
- Dual-use controlled assets
- Reconnaissance pipelines, vulnerability-discovery models, emulation agent frameworks and scenario libraries. They are registered and restricted, bound to a mandate, contained, logged, limited in autonomy and used only inside the perimeter of own or contracted systems.
- Rules of engagement as code
- A machine-readable manifest naming approvers including every target-system owner, window, parties, scope by ATT&CK tactic or ATLAS technique, AI participation, safeguards, stop conditions, an out-of-band stop path, deconfliction and evidence. A change during an exercise is a new signed version.
- Rollout gate per legal entity
- The architectural implication of works-council rights and AI Act Article 26(7): a monitoring capability, or an exercise touching employees' accounts or endpoints, goes live in an entity only once its consultation is recorded as complete.
Interactive exercises
Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.
Interactive exercise 1 · Match
Policy instruments by usage mode
Match each usage mode to the policy instrument the chapter assigns to it.
Interactive exercise 2 · Scenario
An action outside the approved plan
You are in the white team of Nordvik Region's exercise under RoE-NR-2027-001.
Teaching plan
| 15 min | The teacher presents the three layers of policy and the instrument for each usage mode; participants check which modes their current policy does not reach. |
| 15 min | Review the duties to test and monitor in NIS 2 Article 21(2), DORA Articles 24 to 27 and the Cyber Resilience Act, then the TIBER-EU phases and roles. |
| 15 min | Discuss when a security tool is an AI system and when it may be high-risk, and the six rules for offensive AI capabilities. |
| 35 min | Exercise: groups draft a rules-of-engagement manifest for a threat-led exercise in which AI proposes actions, modelled on RoE-NR-2027-001. |
| 10 min | Groups exchange manifests and act as white team: each names one action the policy decision point should refuse and checks the manifest makes that refusal possible. |
Discussion
- Why must rules of engagement be machine-readable and enforced when AI takes part, when a signed document was enough for a human red team?
- The July 2026 incident failed through correlated controls. Which three requirements does the chapter derive for rules of engagement, and how would you verify each before an exercise starts?
- Where would insider-threat analytics or user-behaviour scoring in your organisation meet Annex III point 4 of the AI Act and works-council rights, and what would the rollout gate need to record?
Written exercise
Exercise · 35 minutes
Draft rules of engagement for an exercise that uses AI
Draft a rules-of-engagement manifest for an authorised threat-led exercise against your own organisation's systems or Nordvik Region's citizen-facing services. Record the obligation the exercise serves. List systems in and out of scope, express permitted techniques by ATT&CK tactic or ATLAS technique only, and prohibit impact against production. Set AI participation: models and hosting, a maximum of Level 2 Supervised with each action approved by the test lead, credentials, egress and transcript logging. Write machine-detectable stop conditions, name the stop-path holders and the out-of-band channel, and define deconfliction, data-protection basis, classification, retention and the purple session that receives the findings. Do not describe procedures or tooling.
Deliverable: A signed-ready manifest in the structure of RoE-NR-2027-001, plus one dry-run out-of-scope action that the policy decision point must refuse.
Self-test
Choose an answer to see whether it is right, or open the answer below each question.
Which provision does the chapter call the legal anchor for testing under NIS 2?
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A. The requirement in Article 21(2) for policies to assess the effectiveness of the measures
Article 21(2) lists policies to assess the effectiveness of the measures; the chapter concludes that an entity which cannot show its measures are effective has not met the obligation.Under the chapter's rules for offensive AI capabilities, which autonomy applies?
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B. Level 2 Supervised, or Level 3 Bounded for catalogued, reversible emulations in a standing programme
Rule five limits autonomy to Level 2 Supervised, or Level 3 Bounded for catalogued, reversible emulations in a standing programme; Level 4 Autonomous is never used for offensive work.Why is the production scoring of the benefits-triage system out of scope in RoE-NR-2027-001?
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D. So that the exercise cannot affect decisions about residents
The benefits-triage system is a high-risk AI system; the chapter states that its production scoring is out of scope so the exercise cannot affect decisions about residents.