CISO AI Governance: Secure Enclaves & VPC 30‑Day Plan

```yaml
version: 1.7
policy_id: tl-prod-2025-02
owners:
  security: alice.nguyen@company.com
  platform: sre@company.com
  data_protection: dpo@company.com
regions:
  - eu-central-1
  - us-east-1
  - ap-southeast-1
models:
  allowlist:
    - name: internal-embed-v3
      endpoint: vpce-embed.eu.internal
      region_pin: eu-central-1
      data_classes: ["PII", "Confidential"]
      kms_key_arn: arn:aws:kms:eu-central-1:1234:key/abcd
    - name: gen-small-13b
      endpoint: vpce-gen.us.internal
      region_pin: us-east-1
      data_classes: ["Public", "Internal"]
      kms_key_arn: arn:aws:kms:us-east-1:1234:key/efgh
  denylist:
    - pattern: "*public-llm*"
network:
  egress:
    default: deny
    exceptions:
      - dest: artifact-repo.internal
        ports: [443]
        approval: change-req-7123
rbac:
  roles:
    - name: ai.user
      permissions: [invoke:model:gen-small-13b]
    - name: ai.sensitive
      permissions: [invoke:model:internal-embed-v3]
    - name: ai.admin
      permissions: [invoke:*, policy:update]
  idp_groups:
    ai.user: ["okta:eng", "okta:analyst"]
    ai.sensitive: ["okta:fraud", "okta:legal"]
    ai.admin: ["okta:platform-security"]
logging:
  prompts: required
  results: required
  redaction: pii, pci
  sink:
    - type: s3_object_lock
      bucket: s3://ai-logs-prod/
      retention_days: 365
    - type: siem
      index: ai-trust-logs
    - type: snowflake
      table: COMPLIANCE.AI_PROMPT_LOG
observability:
  slo:
    latency_p95_ms: 300
    availability: 99.9
  alerts:
    - name: cross_region_attempt
      condition: route.region != user.region
      action: block, page:oncall-security
    - name: egress_violation
      condition: dest not in network.egress.exceptions
      action: block, kill_switch
approvals:
  cross_region:
    required: true
    approvers: [dpo@company.com, regional_ciso@company.com]
    expiry_hours: 12
kill_switch:
  enabled: true
  owner: oncall-security
  rollback: revert_to_previous_policy
  last_tested: 2025-01-15
notes:
  - "Never train on client data; training endpoints are disabled in production."
  - "All model upgrades require change request and rollback plan."
```

{
  "title": "CISO AI Governance: Secure Enclaves & VPC 30‑Day Plan",
  "published_date": "2025-11-30",
  "author": {
    "name": "Michael Thompson",
    "role": "Head of Governance",
    "entity": "DeepSpeed AI"
  },
  "core_concept": "AI Governance and Compliance",
  "key_takeaways": [
    "Move sensitive AI workloads into VPC or on‑prem enclaves with customer‑managed keys and explicit egress denial.",
    "Prove compliance: prompt logging, RBAC, lineage, and DPIA evidence stitched into one audit trail.",
    "Deliver a sub‑30‑day pilot: audit → enclave pilot → scale; cut approval cycles while holding control coverage.",
    "Design for regions first: enforce data residency and deterministic routing; never train on client data.",
    "Meet operator SLOs: plan for 150–300ms P95 inference inside VPC and zero cross‑region traffic.",
    "Treat governance as a product: trust layer, decision ledger, and continuous evidence pipelines."
  ],
  "faq": [
    {
      "question": "Can we achieve data residency without on‑prem models?",
      "answer": "Yes. For many workloads, VPC enclaves with PrivateLink/PSC, customer‑managed keys, and region‑pinned endpoints satisfy residency with zero cross‑region egress. On‑prem is reserved for the highest sensitivity or contractual constraints."
    },
    {
      "question": "How do we prevent latency regressions inside a VPC?",
      "answer": "Place inference endpoints close to data, use GPU pools with autoscaling, and instrument P95/P99 in the mesh. We target 150–300ms for embeddings and 600–900ms for text generation with caching."
    },
    {
      "question": "What evidence will Audit need?",
      "answer": "Model inventory and allow/deny lists, DPIA/ROPA records, prompt/result logs with RBAC, KMS key policies, egress rules, and incident decision ledgers. We package these as part of the pilot."
    },
    {
      "question": "Do you support multi‑cloud?",
      "answer": "Yes. We deploy on AWS, Azure, or GCP with controls mapped to NIST AI RMF and ISO 42001. Data planes like Snowflake, BigQuery, and Databricks are integrated via private connectivity."
    }
  ],
  "business_impact_evidence": {
    "organization_profile": "Global payments processor operating in 42 countries; PCI, GDPR, and SOX scope; mixed AWS/Azure footprint with Snowflake and Databricks.",
    "before_state": "AI initiatives stalled in security review; 24‑day average approval cycle; inconsistent logs; cross‑region retries observed in traces; legal risk flagged.",
    "after_state": "Three VPC enclaves live with customer‑managed keys; unified prompt/result logging; deterministic routing; DPIA evidence packaged; production usage approved.",
    "metrics": [
      "Approval cycle time: 24 days → 10 days (‑58%).",
      "Incident MTTR: 3.1 hours → 2.0 hours (‑35%).",
      "Cross‑region events: 7 per quarter → 0 for two consecutive quarters.",
      "P95 embedding latency: 420ms → 240ms (‑43%)."
    ],
    "governance": "Legal/Security/Audit approved due to region‑pinned endpoints, explicit egress deny, prompt/result logging to an immutable store, RBAC via IdP, and a signed commitment to never train on client data."
  },
  "summary": "CISOs: ship secure AI enclaves in 30 days—VPC/on‑prem with audit trails, RBAC, data residency, and never training on your data. Faster approvals, fewer incidents."
}