Scans
Scans are how AI Assets discovers components inside your connected environments. Each scan runs against a selected environment and populates your AI inventory with newly discovered Models or AI Workflows. All scans are logged in Scan History for traceability.
Model Scans
Model scans analyze your connected environments to identify AI models integrated into applications.
How to run a Model Scan
Navigate to AI Assets → Models.
Click Scan Models in the top right corner.
Select the environment(s) you want to scan.
Click Scan to begin.
Results appear in the Models view and include charts, usage breakdowns, and an updated model inventory.
Workflow Scans
Workflow scans analyze repositories for AI Workflows, including agents, tools, and MCP servers.
How to run a Workflow Scan
Navigate to AI Assets → AI Workflows.
Click Scan AI Workflows in the top right corner.
Select the environment(s) you want to scan.
Click Scan to begin.
Results appear in the AI Workflows view, where workflows are visualized as interactive graphs showing architecture, dependencies, and connections.
Scan History
The Scan History page provides a full audit trail of all scans. For each scan, you can see:
Environment Name – the given environment name
Environment Type – the type of environment scanned (currently GitHub or GitLab)
Scan Type – whether the scan targeted Models or AI Workflows
Created At – the timestamp of when the scan was initiated
Status – scan state: Finished, In Progress, or Error
Progress – scan completion percentage
Assets Count – the number of AI components discovered
This allows teams to track discovery over time, verify coverage, and repeat scans as needed.
Best Practices
Run Model scans regularly to stay updated on model usage across environments.
Run Workflow scans whenever workflows or agentic architectures evolve.
Review Scan History to ensure full coverage and follow up on failed scans.
Next Steps
When scans are finished, results are available directly in:
Models – for detailed insights into discovered AI models
AI Workflows – for visual graphs of agentic workflows, tools, and connections
Use these pages to explore, analyze, and act on the assets discovered during scans.
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