Model Deployment Gate

Policy-enforced model deployment with integrity verification before production release. Cryptographic proof that only approved model versions reach inference endpoints.

AI Governance PlatformsFIG. 3, Claim 1(d)

1. Target System

ML/AI model deployment pipelines, inference serving infrastructure, model registries, and any system where model integrity and version control are critical for safety, compliance, or intellectual property protection.

2. Threat Model

Unauthorized model version deployment

Model weights tampering during transfer

Shadow model substitution attacks

Training data poisoning propagation

Rollback attacks to vulnerable versions

3. Integration Points

Model Registry Hook

Pre-deployment attestation gate in CI/CD pipeline

Digest Verification

SHA-256 model weights + config + SBOM binding

Approval Chain

Multi-party attestation before production release

Deployment Receipt

Signed proof of authorized model activation

┌─────────────────────────────────────────────────────────────────┐
│                    ML/AI DEPLOYMENT PIPELINE                    │
│                                                                 │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐      │
│  │   Training   │───▶│    Model     │───▶│  Deployment  │      │
│  │   Pipeline   │    │   Registry   │    │   Request    │      │
│  └──────────────┘    └──────────────┘    └──────┬───────┘      │
│                                                  │               │
│                                          ┌──────▼───────┐       │
│                                          │   DEPLOYMENT │       │
│                                          │     GATE     │       │
│                                          │  ┌────────┐  │       │
│                                          │  │Attestor│  │       │
│                                          │  └────────┘  │       │
│                                          └──────┬───────┘       │
│                                                  │               │
│                      ┌───────────────────────────┼───────┐      │
│                      │                           │       │      │
│                      ▼                           ▼       ▼      │
│                 ┌────────┐                 ┌────────┐ ┌────┐   │
│                 │ BLOCK  │                 │APPROVE │ │LOG │   │
│                 │        │                 │+ DEPLOY│ │    │   │
│                 └────────┘                 └────────┘ └────┘   │
│                                                  │               │
│                                          ┌──────▼───────┐       │
│                                          │  Production  │       │
│                                          │  Inference   │       │
│                                          └──────────────┘       │
└─────────────────────────────────────────────────────────────────┘

4. Gate Verification Checks

MODEL_DIGEST

Verify model weights hash matches approved baseline

Required

CONFIG_DIGEST

Verify inference configuration integrity

Required

SBOM_DIGEST

Verify software bill of materials for dependencies

Required

APPROVAL_QUORUM

Verify required approvers have attested

Configurable

TRAINING_PROVENANCE

Verify training pipeline attestation chain

Optional

5. Artifacts Produced

Deployment Policy

Approval Attestations

Deployment Receipt

6. Measurable Outcomes

Cryptographic evidence of model provenance for audits

Eliminates unauthorized model deployment risk

Full audit trail for model version history

Integration with existing MLOps toolchains

Sample Bundle

Model deployment gate variant with approval chain

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