CISO AI Governance: RBAC with Prompt Logging in 30 Days

```yaml
policy_version: 1.7
service: ai_trust_gateway
owners:
  security: alice.kim@company.com
  platform: sre-oncall@company.com
  legal: dpa-notices@company.com
env: prod
regions:
  - us-east-1
  - eu-west-1
residency_rules:
  eu_tenants:
    region: eu-west-1
    kms_key_arn: arn:aws:kms:eu-west-1:111111111111:key/ai-eu-key
  default:
    region: us-east-1
    kms_key_arn: arn:aws:kms:us-east-1:222222222222:key/ai-us-key
models_allowlist:
  default:
    - provider: azure-openai
      model: gpt-4o
    - provider: anthropic
      model: claude-3-opus
  high_risk_block:
    - provider: community
      model: unknown
rbac:
  roles:
    Support.Agent:
      actions: ["chat.generate", "retrieval.query"]
      datasets: ["kb_public", "kb_internal_redacted"]
      models: ["gpt-4o"]
    Finance.Analyst:
      actions: ["nlq.query", "embedding.create"]
      datasets: ["snowflake_finance_semantic"]
      models: ["gpt-4o", "claude-3-opus"]
    Legal.Counsel:
      actions: ["chat.generate", "policy.override.request"]
      datasets: ["contracts_vector", "privacy_policies"]
      models: ["claude-3-opus"]
    DataScience.Admin:
      actions: ["model.evaluate", "tool.invoke", "policy.update"]
      datasets: ["*"]
      models: ["gpt-4o", "claude-3-opus"]
logging:
  destination_primary: s3://ai-audit-logs-prod/promptlogs/
  warehouse_copy: snowflake.db.ai_logs.prompt_events
  immutability: glacier_vault_lock
  retention_days:
    standard: 365
    high_risk: 2555
  event_schema:
    - ts
    - actor.id
    - actor.role
    - action
    - model
    - data_domain
    - prompt.redacted
    - response.summary
    - redaction.rules_applied
    - redaction.entities_detected
    - pii.confidence
    - approval.state
    - region
    - request.purpose
    - ticket.ref
redaction:
  pre_send: true
  pre_log: true
  confidence_threshold: 0.80
  rules:
    - name: ssn
      regex: "\\b(?!000|666)[0-8][0-9]{2}-[0-9]{2}-[0-9]{4}\\b"
      replace_with: "<SSN_HASHED:${sha256:$0+$salt}>"
    - name: credit_card
      regex: "\\b(?:\n        4[0-9]{12}(?:[0-9]{3})?|\n        5[1-5][0-9]{14}|\n        3[47][0-9]{13}|\n        3(?:0[0-5]|[68][0-9])[0-9]{11}|\n        6(?:011|5[0-9]{2})[0-9]{12}|\n        (?:2131|1800|35\\d{3})\\d{11}\n      )\\b"
      replace_with: "<CC_HASHED:${sha256:$0+$salt}>"
    - name: email
      regex: "[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,}"
      replace_with: "<EMAIL_HASHED:${sha256:$0+$salt}>"
  ml_entities: ["PERSON", "PHONE_NUMBER", "MEDICAL_RECORD"]
approvals:
  high_risk_conditions:
    - condition: "pii.confidence > 0.85"
      required_approvers: ["Security.OnCall", "Legal.Counsel"]
    - condition: "model not in models_allowlist.default"
      required_approvers: ["Security.OnCall"]
  sla_minutes: 15
observability:
  sinks:
    - type: splunk
      index: ai_audit
    - type: datadog
      metric: ai_gateway.latency
slo:
  p99_latency_ms: 800
  audit_event_delivery: 99.9
  redaction_coverage: ">= 99% seeded PII masked"
change_management:
  access_review_quarterly: true
  break_glass:
    approvers: ["CISO", "GC"]
    expiry_minutes: 60
    reason_required: true
```

{
  "title": "CISO AI Governance: RBAC with Prompt Logging in 30 Days",
  "published_date": "2025-12-06",
  "author": {
    "name": "Michael Thompson",
    "role": "Head of Governance",
    "entity": "DeepSpeed AI"
  },
  "core_concept": "AI Governance and Compliance",
  "key_takeaways": [
    "Map roles to AI capabilities before tooling. Least-privilege first.",
    "Log every prompt/response with actor, data domain, model, and redaction evidence.",
    "Build a trust layer that enforces redaction pre-log and pre-send to the model.",
    "Route high-risk prompts to human approval; keep audit trails immutable.",
    "Prove control coverage with a 30-day audit → pilot → scale motion."
  ],
  "faq": [
    {
      "question": "How does this align with NIST AI RMF and ISO 42001?",
      "answer": "The trust layer enforces governance functions (map, measure, manage) and operationalizes policies as controls—role mapping, allowlists, redaction, approvals, and monitoring—providing artifacts auditors expect under both frameworks."
    },
    {
      "question": "Will pre-log redaction break analytics or troubleshooting?",
      "answer": "We hash sensitive values with salts so you can correlate repeated entities without exposing raw PII. You still see behavior patterns and drift without leaking secrets."
    },
    {
      "question": "Can we do this if our models run on-prem or in VPC?",
      "answer": "Yes. We deploy the gateway in your VPC or on-prem, route to local models, and keep logs in-region using your KMS. We never train on client data."
    }
  ],
  "business_impact_evidence": {
    "organization_profile": "Global B2B SaaS, 2k employees, mixed US/EU customer base, SOC 2 + ISO 27001.",
    "before_state": "Shadow AI endpoints with inconsistent logging; some prompts stored with raw PII; model access managed per app; DPIAs averaged 18 days.",
    "after_state": "Central gateway enforced RBAC and pre-log redaction; immutable, region-pinned logs; exception workflow with 15-minute SLA; DPIAs averaged 9 days.",
    "metrics": [
      "40% reduction in audit evidence collection time (from ~25 to 15 hours/quarter).",
      "9 days faster DPIA approvals (18 -> 9 days).",
      "100% of AI endpoints routed through trust layer within 30 days."
    ],
    "governance": "Audit, Legal, and Security approved due to pre-log redaction proof, immutable region-pinned logs, prompt logging with purpose fields, RBAC via IdP groups, and a never-train-on-client-data commitment."
  },
  "summary": "CISOs: Stand up RBAC with prompt logging and redaction in 30 days. Cut audit evidence time 40% and accelerate DPIA approvals with board-ready controls."
}