Intune Security Copilot Readiness Agent

A public demo AI agent that helps endpoint teams investigate Intune compliance, patching, app deployment, and configuration policy issues using synthetic data and LLM-driven workflows.

Why this exists

Organizations with Microsoft Security Copilot capacity want practical, repeatable ways to apply AI to endpoint management scenarios. This project demonstrates how Security Copilot-style promptbooks, curated data retrieval, and agentic workflows can turn Intune operational signals into actionable insights.

The project is designed as a public, portfolio-ready example of AI/LLM solution architecture for endpoint management.

What it demonstrates

• LLM promptbook design for Intune investigations
• Agent workflow patterns for triage and summarization
• Graph/Intune-style data connector design
• Synthetic device-management telemetry
• Risk scoring, trend summaries, and recommended actions
• Executive-ready dashboard and reporting concepts

Public data statement

This repository uses synthetic/sample data only.

It does not contain customer data, tenant identifiers, internal Microsoft data, production credentials, or screenshots from real environments.

Core scenarios

The initial agent focuses on five Intune operations scenarios:

1. Device estate overview by platform
2. Non-compliant device investigation
3. Windows patch status for the previous month
4. Latest app deployment failures
5. Configuration policy failures affecting many devices

Conceptual architecture

Synthetic Intune Data
        |
        v
API / Query Layer
        |
        v
Agent Workflow
        |
        v
Promptbook Reasoning
        |
        v
Dashboard / Report

The optional future connector pattern is:

Customer Intune Tenant
        |
        v
Microsoft Graph / Intune Reporting APIs
        |
        v
Security Copilot Plugin or External Connector
        |
        v
Promptbook / Agent Workflow
        |
        v
Insights Dashboard / Monthly Report

Security Copilot positioning

This project does not attempt to duplicate native Intune Security Copilot or Copilot Explorer experiences.

Instead, it demonstrates a complementary adoption package:

• Promptbooks for repeatable Intune investigations
• Optional plugin/query layer for structured endpoint data
• Dashboard and monthly summary for customer-facing reporting
• Workshop/readiness content for implementation planning

Security Copilot capacity units are treated as the consumption model for Copilot experiences, not as something the project directly builds on.

Planned project structure

.
|-- README.md
|-- docs/
|   |-- architecture.md
|   |-- workshop-flow.md
|   `-- implementation-plan.md
|-- promptbooks/
|   |-- tenant-health-overview.md
|   |-- compliance-investigation.md
|   |-- windows-patch-analysis.md
|   |-- app-deployment-failures.md
|   `-- configuration-profile-failures.md
|-- data/
|   `-- synthetic/
|-- src/
|   |-- agent/
|   |-- connectors/
|   `-- reporting/
|-- dashboard/
`-- samples/

Roadmap

• Create promptbook MVP
• Define synthetic Intune data schema
• Build synthetic data generator
• Prototype agent workflow
• Create dashboard/report mockup
• Add optional Microsoft Graph connector design
• Package a customer workshop/readiness guide

Design documents

• MVP Dashboard Contract
• Synthetic Data Schema

Intended audience

This repository is intended for customers, partners, technical stakeholders, and portfolio reviewers who want to see how AI/LLM workflows can be applied to endpoint management and security operations scenarios.

License

License to be added.