Supply Chain Visibility Framework for AI Tooling
Operational blueprint for tracking dependencies, scanning artifacts, and enforcing policies across AI supply chains.
Can your team produce a complete inventory of every open-source model, dataset, and orchestration service running in production — and the last time each was audited?
Asset Inventory
AI supply chains span open-source models, proprietary datasets, and third-party orchestration services. Without visibility, risk accumulates faster than controls can be implemented.
Policy Enforcement
Our framework introduces layered checkpoints that align to procurement, development, and runtime operations. Each checkpoint is mapped to measurable controls and reporting artifacts.
Continuous Monitoring
By integrating these checkpoints into existing GRC workflows, organizations can reduce approval friction while maintaining compliance posture.
Your next move
Implement a three-layer checkpoint system (procurement, development, runtime) mapped to your existing GRC workflows, starting with a full asset inventory of AI models and third-party services within 30 days.