Netwrix Access Analyzer now supports natural language querying of Access Analyzer data through integration with Model Context Protocol (MCP).
This means you can now get faster, more actionable security insights by connecting AI tools like Claude Desktop and Microsoft Copilot Studio directly to the data Netwrix Access Analyzer already collects—without logging into dashboards or writing a single query.
Just ask questions in plain language and get immediate answers you can act on—helping you uncover risks and strengthen your security posture without relying on dashboards or manual reporting.
You stay in full control of the integration: the MCP server is deployed in your environment, you decide what data is accessible to AI tools, and all queries can be logged and audited—so you gain speed and visibility without giving up oversight.
What You Can Do with MCP + Netwrix Access Analyzer
Use natural language prompts to unlock insights across data, identity, and infrastructure attack surfaces.
Here are just a few examples of the questions you can ask:
Who Has Access to What
“Who has access to \fs02\finance?”
“Where does lab\marketing have access?”
Quickly see who has access to sensitive folders, no UI clicks required.
How Access Was Granted
“How did lab\marketing get access to \fs02\finance?”
Trace indirect or inherited access across nested groups.
Find Stale Account
“Show me all accounts that haven’t logged in for 90 days and still have access to HR data.”
Identify unused accounts that may increase your attack surface.
Locate Sensitive Data
“What sensitive data exists in \fs02\marketing?”
“Where does credit card data exist?”
Discover where sensitive data is stored using Access Analyzer’s data classification capabilities.
Detect Shadow Access
“Who has shadow access to Domain Admins?”
“Who has shadow access to credit card data”
Uncover hidden or indirect access paths that can lead to privilege escalation.
Generate a Data Security Overview Dashboard
You can also issue high-level prompts that return AI-generated dashboards combining multiple insights.
Example prompt:
“Using all the tools available to you from Netwrix Access Analyzer, create a dashboard which shows my data security overview, risks, and recommended remediations.”
How to Get Started
This integration is available now on GitHub.
To try it, you’ll need:
- Netwrix Access Analyzer installed and populated with data
- An MCP-compatible AI tool – like Claude Desktop or Claude for Work or Microsoft Copilot Studio
- Basic familiarity with Python or container tools
Access the MCP server implementation here:
What’s Next
More capabilities are on the way—including AI-assisted remediation. Stay tuned!
What are your thoughts?
We are always happy to hear from our users on what you like, and what you hope to see in the future. Please, share your thoughts below!