AI Asset Inventory
Related Templates
What This Requires
Maintain a comprehensive, continuously updated inventory of all AI assets across the organization, including sanctioned AI applications, APIs, models, plugins, browser extensions, shadow AI tools detected through monitoring, and AI components embedded in third-party software. Each inventory entry must record the asset name, vendor, data classification of inputs and outputs, business owner, security review status, and approval state.
Why It Matters
Organizations cannot secure what they do not know exists. AI tools proliferate rapidly through browser extensions, SaaS integrations, and developer experimentation, creating an invisible attack surface that bypasses traditional asset management. Without a complete inventory, security teams cannot enforce acceptable use policies, conduct risk assessments, or respond to vendor-related security incidents. The AI asset inventory is the foundational control upon which all other governance and infrastructure controls depend.
How To Implement
Define Inventory Schema and Classification
Establish a standardized schema for AI asset records capturing: asset name, type (SaaS, API, self-hosted model, embedded component, plugin/extension), vendor, version, deployment environment, data classification of inputs and outputs, integration method (API key, OAuth, browser extension, SDK), business owner, last security review date, approval status (approved, conditional, under review, prohibited), and risk rating. Store the inventory in a configuration management database (CMDB) or dedicated governance tool.
Populate Through Multiple Discovery Methods
Combine manual registration (require business owners to register new AI tools through the intake process) with automated discovery: network traffic analysis to detect AI service API calls, endpoint agent scans for AI desktop applications and browser extensions, SaaS management platform integration to identify AI tools in the OAuth grant inventory, and procurement system integration to flag AI-related purchase orders. Cross-reference all sources monthly to identify gaps.
Assign Ownership and Maintain Currency
Designate a business owner and a technical contact for every inventoried asset. Require owners to attest to the accuracy of their asset records quarterly. Implement automated alerts when assets are detected without registered owners or when security review dates expire. Remove decommissioned assets and add newly discovered assets within 5 business days of detection.
Integrate with Governance Workflows
Connect the inventory to downstream processes: acceptable use policy enforcement (block unapproved assets), vendor security evaluation triggers (new vendors automatically queue for assessment), incident response (quickly identify affected assets by vendor), and compliance reporting (generate on-demand reports of AI assets by data classification, approval status, or risk rating).
Evidence & Audit
- AI asset inventory with all required schema fields populated
- Automated discovery tool configurations and scan results
- Manual registration intake forms and approval records
- Quarterly owner attestation records showing inventory accuracy confirmation
- Reconciliation reports comparing automated discovery against registered inventory
- Integration documentation connecting inventory to governance workflows
- Decommission records for removed assets with rationale and date