AI Incident Commander

An AI system failure becomes a full incident with five roles to fill and a regulator clock running. Command the room through adaptive injects and simulated stakeholders, and defend every call you make on the record.

Expert · Assumes real range time. Little guidance, full consequences.

Outcome · Coordinate legal, privacy, security and business response to an AI incident.

Launch the windows desktop Open the workbench only How this is graded

George · 5 lines

Roles

• Incident commander

• Legal

• Privacy

• Communications

• Security lead

Standards mapping

NICE T0175, T0036

ATLAS AML.T0051

OWASP LLM01

Publish gate

Manifest valid · release 1.0.0

AI connection

This activity runs entirely on the deterministic runtime. Optional live-model runtimes only affect dialog, coaching and wording — never checks or scoring.

Deterministic simulationmode 0

Nothing leaves the browser session.

Chrome built-in AImode 1

Prompts never leave the learner's machine.

Bring your own keymode 2

Lab prompts reach the learner's chosen provider only.

Organization-owned AImode 3

Customer tenancy; Cybrary sees metadata only.

Cybrary-managed AImode 4

Cybrary AI gateway; retention off by default.

Hybrid routingmode 5

Per-job — the router never sends restricted jobs off-tenant.

Lab manifest

The machine-readable release contract. Authors edit this; the console refuses to publish without checks, both regression suites and a reference solve.

schemaVersion: cybrary.ai-lab/v1
id: ai-incident-commander
release: 1.0.0
mode: ai-enhanced-range
maturity: 4
roles:
  - incident-commander
  - legal
  - privacy
  - communications
  - security-lead
outcomes:
  niceTasks:
    - T0175
    - T0036
  atlasTechniques:
    - AML.T0051
  owaspRisks:
    - LLM01
aiAssets:
  models:
    - support-agent-model@2026.06
  prompts:
    - ai-incident-commander-system-prompt@1
  agents:
    - support-agent-orchestrator@3
  tools:
    - crm.lookup
    - ticket.update
    - email.send
    - refund.issue
  corpora:
    - support-kb@v4
enterpriseTopology: support-enterprise-v3
scenario:
  seed: ai-incident-commander-seed-1
  injects:
    - ai-incident-commander-inject-1
telemetry:
  requiredSignals:
    - ai.trace
    - rag.retrieval
    - tool.call
    - identity.auth
    - dlp.egress
    - siem.alert
evaluation:
  deterministicChecks:
    - ai-incident-commander-checks
  repeatedTrials: 20
  maliciousSuite: ai-incident-commander-attack-v1
  benignSuite: support-utility-v4
safety:
  networkEgress: deny
  maxTokens: 250000
  maxCostUsd: 20