Shadow AI Is Still Shadow IT
The same discovery that finds software nobody approved now finds the AI tools nobody approved. One inventory answers both.
Lansweeper finds AI usage across your devices and network, right next to everything else you track. Know which AI tools are being used, where they run, and how your organization classifies them.
The problem
AI is everywhere, but nobody has a clear picture of what’s being used, where it’s running, or whether it’s approved.
Employees install AI tools, developers use coding assistants, and new applications move in without asking. Now the questions are landing, and the answers are spread across tools.
Total Visibility
Treat AI like any other asset. Lansweeper identifies AI applications and services across your environment, connects them to the assets where they’re found, and gives IT and Security the context to understand what’s running.
Trusted context for policy decisions
Downstream platforms and tools
The same discovery that finds software nobody approved now finds the AI tools nobody approved. One inventory answers both.
Each AI tool sits next to the devices it runs on, with one approval status and risk level. A new finding starts with context instead of a fire drill.
Feed the record of what’s actually running into the tools you already use. When someone asks what else is out there, the answer is in the same place.
Phillip Heyns
Global Cyber Resilience Manager, Hitachi Energy
How it works
Finding an unfamiliar AI tool is one thing. Understanding where it’s running and whether it’s approved is what makes that discovery useful.
Detect AI apps, browser extensions, coding assistants, local model servers, stored AI keys, and connections to AI services.
Every tool links to the assets it was found on, so an unfamiliar name gets context instead of a fire drill.
Mark each tool approved or unapproved and set its risk level. IT and Security see the same status.
Detect AI apps, browser extensions, coding assistants, local model servers, stored AI keys, and connections to AI services.
Every tool links to the assets it was found on, so an unfamiliar name gets context instead of a fire drill.
Mark each tool approved or unapproved and set its risk level. IT and Security see the same status.
Detect AI apps, browser extensions, coding assistants, local model servers, stored AI keys, and connections to AI services.
Every tool links to the assets it was found on, so an unfamiliar name gets context instead of a fire drill.
Mark each tool approved or unapproved and set its risk level. IT and Security see the same status.
USE CASES
Whether you’re uncovering shadow AI, checking policy compliance or preparing for an audit, each question starts with knowing which AI tools are running.
Discover AI apps, browser extensions and local models employees are using without IT approval.
Compare discovered AI tools with your approved list to identify applications that need review.
Identify AI applications and services across your environment to support inventory and governance requirements.
Keep track of discovered AI tools, approval decisions and available risk information for reviews and audits.
Identify coding assistants, AI extensions and local models installed or detected on developer endpoints.
Check where approved applications are detected and identify devices that may still need them.
Our Roadmap
You can see what’s running today. We’re building toward what it can reach, and the reporting to prove it.
Direction, not a commitment, and subject to change.
AI Governance
See how IT and Security get one current answer to what AI is running.
AI governance is how an organization decides which AI tools and systems it allows, who can use them, and how it shows those decisions are followed. Without an accurate list of the AI actually in use, those decisions rest on guesses and self-reporting. Lansweeper supplies that list, detected from devices and network traffic and linked to real assets, so governance starts from what’s there.
No. Governance and GRC platforms manage policies, assessments, and workflows, and they all depend on knowing what AI exists. Lansweeper provides that inventory, plus the approval and risk decisions recorded against it, which you can export into the processes you already run.
AI security protects against threats that come from or through AI, like data leaving for outside tools or an agent being tricked into acting. AI governance decides which AI is allowed and shows that the decision holds. Both depend on the same starting point: an accurate list of the AI in use, which is the part Lansweeper provides.
Discover AI where it lives: installed apps, browser extensions, coding assistants, local model servers, and connections to AI services. Tie each finding to a device and user, then record whether it’s approved and how risky it is.
No. Marking a tool approved or unapproved records a decision, not a technical control. Lansweeper gives your enforcement tools, such as security, GRC, and ITSM platforms, one verified record of what’s running so they can act on facts.