AI VISIBILITY & GOVERNANCE
See the AI your organization is using
Discover employee AI usage, surface unapproved applications, and connect observed activity to your AI governance inventory.
Explore the product concept with an illustrative demo.
Availability and integrations confirmed during scoping.
Shadow AI & Risk
Observed activity, compared with your AI policy.
AI apps discovered
57
6 newly discovered
Approved / unapproved
18 / 39
Application approval
Active AI users
742
Across 8 departments
High-risk AI
11
For priority review
Top AI applications
Unique users by application
The visibility gap
Shadow AI is the use of AI applications or services within an organization without appropriate visibility, approval, or governance.
Employees can adopt AI assistants, coding tools, and autonomous agents faster than an organization can review them. An approved tools list alone does not show what people actually access or whether their business use cases have been registered.
Guardian AI’s Shadow AI Detection Platform is designed to bridge that gap: compare observed AI activity with your inventory and policies, then bring the differences into a clear review process.
One connected view
Bring AI application activity into view. Explore which tools appear in connected telemetry, how usage changes, and where unapproved applications need review.
Connect what your organization observes with what it has registered. Keep applications, models, vendors, and business use cases in one governance context.
See the health of the sources behind the dashboard. Interpret findings alongside synchronization status and missing data, rather than assuming complete visibility.
Inside the platform
Switch between risk findings and the AI inventory to explore observed usage, approval status, and registered business use cases.
Shadow AI & Risk
Observed activity, compared with your AI policy.
AI apps discovered
57
6 newly discovered
Approved / unapproved
18 / 39
Application approval
Active AI users
742
Across 8 departments
High-risk AI
11
For priority review
Top AI applications
Unique users by application
Unapproved AI application detected
Review the application, business owner, and registered use case.
A simplified interactive preview based on the product design. All applications, counts, approval states, and findings are examples, not customer results or live detections.
Built for shared responsibility
Prioritize unapproved applications and potential AI risks with visibility into the telemetry behind each finding.
Understand the AI tools employees are accessing and identify where monitoring coverage needs attention.
Compare observed adoption with registered use cases, ownership, and approval policies.
Pair usage discovery with policies, ownership, and review processes through our AI Governance service.
Questions, answered
Shadow AI is the use of AI applications or services within an organization without appropriate visibility, approval, or governance. It can include employees using public AI assistants, coding tools, and autonomous agents outside established review processes.
The platform is designed to use activity observed in connected security and network data sources, identify AI applications, and compare that activity with an organization’s AI inventory and approval policies. Visibility depends on the sources connected and the information those sources provide.
The platform observes AI applications, APIs, and MCP servers and compares them with approval classifications in the AI inventory. An application that is unapproved and a business use case that is unregistered are separate findings: approval for a tool does not automatically approve every use of it.
Yes. The platform can collect prompts and conversation content, but this requires deeper integration with your environment. Please contact our team to discuss your requirements and integration options.
The scope of our Shadow AI Detection Platform is discovery, monitoring, risk review, and inventory reconciliation. Guardian AI’s AI Governance service can help implement controls to block unapproved AI access and data use, along with governance measures tailored to your organization. Please contact our team to discuss your requirements.
The platform focuses on visibility into observed AI activity and gaps in the AI inventory. Guardian AI’s AI Governance service helps establish the policies, responsibilities, risk review processes, and controls that give those observations organizational context.
Yes. Contact Guardian AI for a product walkthrough and a discussion of your data sources, monitoring scope, deployment requirements, and product availability. The website preview is illustrative and uses sample data; it is not a live monitoring service.
Start with visibility
Email our Shadow AI team to arrange a product walkthrough. Tell us about your data sources, governance priorities, and what you would like to explore.
For product demos, pricing, and deployment enquiries, email us directly.
Email us at
shadowai@guardianlab.aiHelp us tailor the conversation
Include your company name and a brief note about your AI monitoring or governance needs.
