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LangDock

Rencore monitors LangDock across 18 governance policies, 9 reports, and 11 inventories, detecting cost overruns, access issues, and workspace sprawl automatically.

Published For Head of IT, CISO
AI & Agents

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Definition

Rencore LangDock governance is a set of 18 policies, 9 reports, 9 segments, and 11 inventories that audit LangDock's AI platform for cost overruns, access control gaps, and workspace sprawl. It detects users exceeding cost limits, workspaces without assigned owners, inactive accounts consuming licenses, and usage patterns indicating potential data governance risks.

See LangDock in Rencore

Step 1 of 4

51 governance capabilities: 11 inventories · 18 policies · 9 reports · 9 segments · 1 automations

Why govern LangDock with Rencore

Control AI platform costs

Track spending at the workspace and user level. Policies alert when costs exceed thresholds. Reports break down spending by model, workspace, and user for budget accountability.

Manage user access

Detect users deactivated in Entra ID who still have LangDock access, external users without business justification, and accounts with excessive permissions.

Govern workspaces

Find inactive workspaces without recent activity, workspaces without assigned owners, and usage patterns that indicate potential data governance concerns. Reports show workspace activity trends.

What Rencore discovers

Rencore automatically inventories these LangDock object types.

LangDock Workspace
A LangDock workspace representing an organization
LangDock User
A user in the LangDock workspace with usage metrics for a specific time period
LangDock Agent
An AI agent/assistant in the LangDock workspace with usage metrics
LangDock Project
A project in the LangDock workspace with usage metrics
LangDock Model Usage
Usage metrics for an AI model in the LangDock workspace
LangDock Audit Log
Audit log entries from the LangDock workspace
LangDock inventory card in Rencore

How LangDock governance works in Rencore

Rencore connects to LangDock via the LangDock API and inventories workspaces, users, assistants, usage data, and cost data. Policies run on every scan cycle and flag cost overruns, access issues, and workspace sprawl with severity levels and recommended actions.

Who uses LangDock governance

Heads of IT use cost policies to keep AI platform spending within approved budgets. CISOs review user access policies to enforce identity governance. Teams evaluating LangDock alongside other AI platforms use the reports to compare usage and cost patterns.

Getting started

Provide Rencore with LangDock API credentials. All 18 policies activate on first scan, covering workspaces, users, and cost data automatically.

Policies

18 governance rules that detect violations and risks.

LangDock policies card in Rencore
LangDock User is privileged (admin)
Admin users hold over-scoped privileges, raising the likelihood that any weakness is exploited.
High Security
LangDock Agent is live and callable
Agents that are not disabled are reachable by users, raising the likelihood that any weakness is exploited.
Medium Operation
LangDock Agent can reach the web
Agents with web search enabled pull untrusted external content, raising the likelihood of impact.
Medium Security
LangDock Integration can perform actions
Integrations with configured actions can invoke external systems, raising the likelihood of real-world impact.
Medium Security
LangDock User has admin role
Detects LangDock users who have the admin role assigned.
Medium Security
LangDock Agent has high message volume
Detects LangDock agents that received more than 200 messages in the period.
Medium Operation

Need a rule that isn't listed? Rencore's Policy Builder lets you create custom policies tailored to your organization.

Reports

9 analytics views and dashboards.

Messages per LangDock user
Shows the top 10 users by total message count
Bar Chart · Operation
Messages per LangDock agent
Shows the top 10 agents by message count
Bar Chart · Operation
LangDock model usage distribution
Shows the distribution of requests across AI models
Bar Chart · Costs
Agent usage per user
Shows top 10 users by total agent message count
Bar Chart · Operation
Model usage by user
Shows the distribution of messages across AI models per user
Bar Chart · Costs
Agent adoption (unique users)
Shows the number of unique users per agent
Bar Chart · Adoption
LangDock reports card in Rencore

Automations

1 automated remediation workflows.

Disable LangDock Agent
Automatically disables a LangDock agent after approval

Segments

9 data groupings for targeted filtering.

LangDock Admin UsersActive LangDock AgentsHigh Usage LangDock ModelsHigh Agent UsageHigh Model UsageOAuth IntegrationsAPI Key IntegrationsActive LangDock UsersInactive LangDock Users

Frequently asked questions

Does Rencore support governance for AI tools beyond Microsoft Copilot?
Yes. Rencore connects to Claude, OpenAI, Gemini, GitHub Copilot, Cursor, Windsurf, AWS Bedrock, Azure AI Foundry, and other AI platforms. Each connector provides tailored policies for cost management, security, adoption tracking, and access control, giving IT a unified governance view across all AI tools the organization uses.
What is Rencore governance?
Rencore governance is a SaaS platform that continuously monitors your Microsoft 365 tenant for policy violations, configuration drift, and security risks across SharePoint, Teams, Power Platform, Copilot, and AI Agents. It automates compliance evidence collection, surfaces oversharing and sprawl, and provides actionable remediation workflows, reducing manual audit effort by up to 80%.
How do Rencore policies work?
Rencore ships with hundreds of pre-built policies that detect governance violations across every connector, oversharing, sprawl, cost overruns, security risks, and compliance gaps. Policies run on a continuous schedule, evaluate each discovered object against configurable rules, and flag violations with severity (High, Medium, Low), category, and a recommended action.

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