How to govern Inventory in LangDock
A step-by-step guide to governing Inventory in LangDock with Rencore: detect, review by owner and severity, and remediate with an audit trail.
Governing Inventory in LangDock means finding where it goes wrong, reviewing the findings by owner and severity, and remediating with an audit trail. Rencore covers this concern for LangDock with the pre-built controls below, so it becomes a repeatable check rather than a one-off cleanup. The steps that follow apply the same detect, review, remediate loop to Inventory.
Steps
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Inventory LangDock
Connect LangDock and let Rencore build a continuous inventory of its resources, owners, and configuration, so governance starts from what exists rather than a stale export.
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Detect with policies
Turn on the pre-built policies that cover Inventory in LangDock to surface oversharing, sprawl, and misconfiguration on the first scan, before writing a single custom rule.
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Review by owner and severity
Use the LangDock reports to review findings by owner, category, and severity, and to share them with stakeholders who do not have a seat in the platform.
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Remediate and automate
Apply automations to fix findings at scale, route sensitive changes through approvals, and keep every action reversible and logged for the audit trail.
LangDock controls for Inventory
Grounded in the Rencore catalog. See the full LangDock catalog on the LangDock connector page.
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LangDock Workspace
A LangDock workspace representing an organization
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LangDock User
A user in the LangDock workspace with usage metrics for a specific time period
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LangDock Agent
An AI agent/assistant in the LangDock workspace with usage metrics
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LangDock Project
A project in the LangDock workspace with usage metrics
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LangDock Model Usage
Usage metrics for an AI model in the LangDock workspace
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LangDock Audit Log
Audit log entries from the LangDock workspace
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LangDock User Agent Usage
Usage record linking a LangDock user to an agent with message count for a specific period
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LangDock User Model Usage
Usage record linking a LangDock user to an AI model with message count for a specific period
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LangDock User Project Usage
Usage record linking a LangDock user to a project with message count for a specific period
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LangDock Integration
A third-party integration configured in the LangDock workspace (e.g., SharePoint, Jira, Slack)
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LangDock Integration Action
An action available within a LangDock integration (e.g., 'Search documents' in SharePoint)
