AI governance starts with visibility
Manage your AI agents, models, and MCP servers the same way you would any other CI. Each one with owner, relationships and dependencies, criticality, and more.
Your AI layer has no map yet
AI Assets brings visibility to the AI agents, models, and MCP servers running in your company.
AI agent
The thing that runs on its own, but never without an owner. Record what it does, whether it runs autonomously or on a cron, and the models, MCP servers, and systems it touches.
- Type
- Description
- Owner
- Lifecycle status
- Relationships
Model
The model an AI agent uses. Track which models run in your company, so a deprecation or change doesn’t break critical processes.
- Manufacturer
- Identifier
- Provider
- End of support date
MCP server
The connector an AI agent or assistant uses to reach a system. See who accesses what, and whether they only read or can also write.
- Transport
- Version
- Package registry
- Tools
You can also track the skills, plugins, and marketplaces your AI agents use. Every record has the same level of detail as your other CIs: owner, lifecycle status, tags, custom fields, relationships, and activity history.
See which AI agents may be impacted by a change
AI Assets share the relationship model of the rest of your CMDB, so impact analysis runs from your systems to the AI agents that depend on them.
3 AI agents and 1 MCP server show up as affected by the ERP change, each with an owner to notify.
Upload the AI inventory you already have
Most teams already keep a list somewhere, often a spreadsheet from a security review. Start with your AI agents, assign owners, and work from the dashboard.
Manual form
Pick the subtype and fill in the fields that matter for it.
CSV import
A template per subtype, pre-validation, and a per-row error report.
Public API
Script the load from a platform export.
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Atlas
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AI Assets
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Frequently asked questions
Everything you need to know about AI Assets.
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