Do you know
how your teams are using AI?

Understand real AI usage.
Build AI governance that actually works.

MagicMirror gives organizations real visibility into AI activity, so you can see how tools are being used, prevent data risk before it happens, and make smarter decisions about policies and productivity.

Where AI meets control

Integrates with all major AI tools & LLMs

GenAI Tools – ChatGPT, Gemini, Claude, Copilot and 100+ more LLMs – Extend MagicMirror’s local AI model to your own LLM
We want to give our employees these tools, but we need to do it in a safe & responsible way. We really think MagicMirror can be the avenue for that.”
— Brian, Head of IT & Corporate Security, Hover
We had written our AI policy and outlined best practices, but we needed to have confidence that they were being followed."
— Bill Coapman, I.T. Manager
The user experience has been a great enabler for our employees. With MagicMirror enforcing policies & maintaining privacy standards for us, IT has become less of a “no” organization & more of a “yes” when it comes to AI.”
— Brian, Head of IT & Corporate Security, Hover
I don’t want to just block tools—we need to know how they’re being used so we can help our attorneys work smarter,”
— Bill Coapman, I.T. Manager
It’s changing how we think about endpoint security.”
— David Baker, Former CSO at
MagicMirror doesn’t feel like a hammer—it’s a toolbox. It provides us with visibility, protection, and the ability to shape AI usage based on real-world data. We’re not guessing anymore.”
— Bill Coapman, I.T. Manager

Built at the edge, not after the fact

MagicMirror

On-device policy enforcement

Policies are enforced locally using Small Language Models (SLMs), protecting sensitive data in real time before it leaves the device.

Zero-latency enforcement

All protection runs locally in the browser—no network calls, no cloud delays.

Higher accuracy w/purpose-built SLMs

SLMs outperform general-purpose LLMs for narrow, high-stakes tasks like PII and policy detection, reducing false positives.

Predictable, fixed cost model

No tokens. No usage-based pricing. Costs remain stable as AI usage scales.

No prompt logging by default

Visibility into AI usage patterns without capturing or storing user prompts.

Visibility without surveillance

Understand AI usage while preserving employee trust and adoption.

Traditional AI Governance Tools

Post-exposure enforcement

Policies are applied only after data has already been shared with external AI systems or vendors.

Network-dependent enforcement

Policies rely on cloud processing, introducing latency and enforcement gaps.

General-purpose LLM reliance

Broad LLMs are used for specialized security tasks, reducing precision and consistency.

Variable, usage-based costs

LLM API pricing is low today, but as providers raise prices to match rising compute costs, those increases are passed directly to customers.

Persistent prompt storage

Full prompts and responses are logged, increasing privacy and legal risk.

Employee monitoring by design

User-level logging creates cultural friction and slows adoption.

Inside the MagicMirror

MagicMirror’s architecture turns local safeguards into a system for safely scaling AI productivity across your organization:
  • Small Language Models (SLM)

    On-device models classify AI interactions in real time to protect sensitive data.

  • Full Local Execution

    Fast, browser-based enforcement with no reliance on centralized processing.

  • Custom Classifications

    Define and refine AI policies tailored to your organization’s data, roles, and use cases

  • Extensible API & SDKs

    Integrate MagicMirror insights into your broader security, governance, and analytics ecosystem.

Govern AI where it’s used—
not after the damage is done.

Discover: Shine a spotlight on Shadow AI

Identify organic adoption of new AI tools, understand the risk to reward in order to bring the top tools in your organization safely while allowing your users freedom to experiment and innovate.

Monitor in real time

Interactive dashboards show AI activity across departments, roles, and browsers—so you can track adoption, prove ROI, and manage risk as it happens.

Protection you can count on

Sensitive data stays on employees’ devices, while real-time audits show what’s protected and why—from uploaded files to data types—giving you full visibility into MagicMirror’s safeguards.

Measure AI skill in motion

Our AI-trained assessment model scores anonymized prompt sessions for effectiveness and efficiency, revealing how teams use GenAI day to day and tracking proficiency gains over time.

Upskill at scale

We surface your top department- and role-specific AI work streams, assess what works best, and turn winning sessions into shareable templates

Flexible polices

Intuitive granular event based rules allow for custom controls and messaging

No admin headaches

MagicMirror is up and running in minutes, not days. Be your company’s hero without the install and adoption hurdles that can take good intentions to unmet expectations.
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