The AI Tutor will answer grounded in this lesson's cited source (jira_story: GOV-322) and key concepts — authority Informational. Not yet enabled.
Lesson 3 of 4 — Active-plane runtime posture signals
Scale & Intelligence · Source: Jira Story GOV-322 (13 pts) · Authority: Informational (the Jira story is authoritative).
Purpose
Feed runtime (Active-plane) signals into governance posture.
Why it matters
Design-time posture is incomplete; runtime behaviour is the real risk.
Where this lives
Runs in the Customer AI Governance platform (components: active). The Active enforcement plane streams runtime events into posture computation. Learn teaches this read-only.
Workflow
- Given runtime events
- When they arrive
- Then posture reflects live runtime signals
Worked example
A system is documented as compliant but drifting at runtime. How does posture catch it?
Active-plane runtime signals feed posture, so live drift is reflected, not just design-time state.
Acceptance criteria (authoritative — GOV-322)
Given runtime events, when they arrive, then posture reflects live runtime signals.
Common pitfalls
- Governing only paperwork while runtime drift goes unseen.
Knowledge check
- Scenario: A system is documented as compliant but drifting at runtime. How does posture catch it?
- Look for: Active-plane runtime signals feed posture, so live drift is reflected, not just design-time state.
Key concepts
- runtime signals
- Active plane
- live posture
For the AI Tutor
- Summary: Feed runtime (Active-plane) signals into governance posture.
- When to use: teaching or answering questions about "active-plane runtime posture signals".
- When NOT to use: the design-time recompute on task close (that is GOV-135).
- Key concepts: runtime signals, Active plane, live posture.
Completion criteria
Learner passes the scenario knowledge check and can point to the system state that satisfies GOV-322's acceptance criterion.
Related
- Module: LEARN-MOD-011 (Scale & Intelligence)
- Provenance: LEARN-MAP-001 · Generation standard: LEARN-STD-002
- Next: LEARN-LSN-057