Consulting
Model, Dataset, and Artifact Supply Chain Review
Schedule a focused technical conversation that scopes your AI product risk, identifies the right advisory track, and translates your needs into a practical engagement proposal.
Selected service
Model, Dataset, and Artifact Supply Chain Review
Assess the trust chain behind models, adapters, datasets, notebooks, plugins, containers, and updates. We focus on provenance, unsafe formats, artifact loading, registry controls, and reproducible build evidence.
Duration
3-6 weeks
Deliverables
7 implementation-grade outputs
Rate
Custom
What we cover
- Model and adapter provenance review
- Dataset ingestion and trust-boundary analysis
- Unsafe serialization and artifact loading review
- Plugin, extension, and update-channel assessment
- Registry and access-control review
- Reproducibility and SBOM evidence recommendations
What we cover in the call
- • Your AI architecture, data sources, and model supply chain.
- • Risk profile for RAG, agents, prompt injection, and tool access.
- • Desired outcomes, timeline, and delivery constraints.
- • Recommended engagement format and next steps.
Typical duration
30 minutes
If you’re preparing:
- • A short summary of your AI program or feature.
- • Key risk concerns or audit requirements.
- • Current controls, telemetry, and team structure.