Blueprint 04

Model Deployment Gate

Policy-gated model deployment with an attested integrity decision before production release. Cryptographic proof of whether only approved model versions were admitted to production.

AI Governance Platforms

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.

Threat Model.

Unauthorized model version deployment
Model weights tampering during transfer
Shadow model substitution attacks
Training data poisoning propagation
Rollback attacks to vulnerable versions

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 Pipeline

Model Registry

Deployment Request

Deployment Gate

decision boundary

Attestation Gate

Attested decision: PERMIT / DENY · effecting wired per deployment

Production Inference

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

Artifacts Produced.

Deployment Policy

Approval Attestations

Deployment Receipt

Outcomes.

Cryptographic evidence of model provenance for audits

Proves whether only attested model versions were admitted to production

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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