Map the AI System
A support-agent deployment is live and nobody has an inventory of it. Walk it end to end and record which model, whose prompt, which corpus and which tool token are in play, and where the trust boundaries actually sit.
Foundational · First contact with the concept — the evidence points at the answer.
Outcome · Produce an asset, trust-boundary, identity, data and tool map of a live AI application.
AI connection
This activity runs entirely on the deterministic runtime. Optional live-model runtimes only affect dialog, coaching and wording — never checks or scoring.
Nothing leaves the browser session.
Prompts never leave the learner's machine.
Lab prompts reach the learner's chosen provider only.
Customer tenancy; Cybrary sees metadata only.
Cybrary AI gateway; retention off by default.
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: map-the-ai-system
release: 1.0.0
mode: ai-lab
maturity: 2
roles:
- ai-security-engineer
- security-architect
outcomes:
niceTasks:
- T0177
- T0473
atlasTechniques:
- AML.T0002
owaspRisks:
- LLM03
aiAssets:
models:
- support-agent-model@2026.06
prompts:
- map-the-ai-system-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: map-the-ai-system-seed-1
injects:
- map-the-ai-system-inject-1
telemetry:
requiredSignals:
- ai.trace
- rag.retrieval
- tool.call
- identity.auth
- dlp.egress
- siem.alert
evaluation:
deterministicChecks:
- map-the-ai-system-checks
repeatedTrials: 20
maliciousSuite: map-the-ai-system-attack-v1
benignSuite: support-utility-v4
safety:
networkEgress: deny
maxTokens: 250000
maxCostUsd: 20