Discover, monitor, and control shadow AI.
Two ways to gain shadow AI visibility and control.
One platform, the same four products in both tiers. The tier you choose depends on where you need shadow AI monitoring and control: across web AI tools only, or local desktop agents too.
Tier 1
Best Value
MagicMirror in
Browser
Browser-Native AI Visibility.
Real-time insight into every web AI tool your employees use.
Best for
Leaders who want a fast, complete picture of AI usage. Browser-native orgs. Teams that need adoption and governance insights without a heavy rollout.
Best for
- Browser extension across Chrome, Edge, Brave, Arc
- All four products: Risk Monitoring, Policy Enforcement, Data Protection (Marv), Insights
- On-device Small Language Models
- Coverage of 300+ web AI tools
Engagement
Discovery, pilot to a single team, phased rollout via your IdP or MDM.
Tier 2
Best for full coverage
MagicMirror for
Agents
Visibility Everywhere AI Runs.
Insight across every AI workspace your employees use, browser and desktop.
Best for
Organizations going all-in on AI. Teams using desktop AI agents, IDE assistants, MCP-connected tools, or clipboard-driven workflows you can't currently see.
Best for
- Everything in MagicMirror in Browser
- Local AI agents: Cursor, Claude Desktop, ChatGPT Desktop, native apps
- MCP tool call protection (bidirectional agent traffic)
- Clipboard movement detection
- On-device daemon coordinating every workspace
Engagement
Architecture review, pilot to a single team, phased rollout coordinated with your endpoint engineering team.
What the platform does
Shadow AI detection, governance, and control in one platform.
MagicMirror discovers, monitors, and governs shadow AI where it’s actually used: in the browser, on the device, in real time. No surveillance, no workflow friction.
AI Usage Insights
See how AI is really being used
Track prompts, uploads, and usage patterns at the browser level across every GenAI tool your teams touch. Understand adoption by department and role, and replace guesswork with evidence.
90% of AI logins are invisible to leadership today.
90% of AI logins are invisible to leadership today.
Real-Time Usage Tracking
Live dashboards, not quarterly guesses
Interactive dashboards show AI activity across departments, roles, and browsers as it happens, so you can track adoption, spot trends, and act on usage in real time instead of after the fact.
Actual AI tool usage runs up to 10x higher than expected.
Actual AI tool usage runs up to 10x higher than expected.
Executive & Governance Insights
Board-ready reporting in one place
Turn AI activity into clear, executive-level insights. Give leadership a single source of truth for adoption, governance, compliance, and ROI, with a defensible AI usage audit trail behind every number.
71% of CIOs say AI usage doesn't match spend.
71% of CIOs say AI usage doesn't match spend.
Shadow AI Discovery
Surface the AI usage you can't see
Shine a spotlight on hidden AI usage: the personal-account logins and unsanctioned tools running outside IT's view. Understand the risk-to-reward so you can bring the best tools in safely.
68% of employees use free AI through personal accounts.
68% of employees use free AI through personal accounts.
Trusted by
Trusted by security teams who don't have time to guess.
Customers & Partners
Common questions
Shadow AI FAQs
How can enterprises detect and control shadow AI across employee workflows?
Enterprises need continuous shadow AI discovery across approved and unapproved tools, along with prompt-level context. Effective shadow AI detection improves visibility into who is using AI, how it is being used, and where policy-based shadow AI control may be required.
What should shadow AI detection software identify?
Shadow AI detection software should identify AI tools in use, user activity, risky prompts, sensitive information exposure, and policy violations. The best shadow AI detection tools provide actionable context rather than simply listing applications or generating alerts without explaining the underlying risk.
How does shadow AI monitoring software improve visibility?
Shadow AI monitoring software provides ongoing insight into AI adoption across teams, tools, and workflows. Effective shadow AI monitoring helps organizations understand usage patterns, uncover unmanaged activity, improve shadow AI visibility, and distinguish productive AI use from behavior that requires review or intervention.
What capabilities should a shadow AI platform include?
A shadow AI platform should combine discovery, monitoring, governance, reporting, and real-time policy enforcement. It should support shadow AI security across multiple GenAI tools while giving IT, Legal, and Security teams enough context to manage risk without creating unnecessary workflow friction.
How does AI governance software support shadow AI risk management?
AI governance software helps organizations define acceptable-use policies, assess risky behavior, and apply consistent controls across AI tools. It supports shadow AI governance through reporting, classification, and policy enforcement while strengthening shadow AI risk management and informing ongoing shadow AI risk assessments.
Can shadow AI prevention software reduce risk without blocking approved AI use?
Yes. Shadow AI prevention software should not automatically block every AI interaction. It should apply proportionate controls—such as allowing, warning, masking, or blocking—based on the user, tool, data, and policy context, allowing productive AI use to continue safely.
How does MagicMirror help enterprises manage shadow AI?
MagicMirror helps enterprises discover, monitor, govern, and control shadow AI across ChatGPT, Claude, Gemini, Copilot, and 300+ AI tools. It provides browser-level visibility and enforces policies on-device, helping teams address risky activity before sensitive information leaves the browser.
