The MagicMirror AI Security Platform.
Four products, one platform. Built for how AI is actually used today.
See it
AI Risk Monitoring
See every AI tool, account, and prompt used across your organization – both personal and enterprise logins. Real-time dashboards and proactive risk assessment by department, role, and risk level.
Control it
AI Policy Enforcement
Set rules for how AI gets used and accessed. Allow, guide, protect, or block and redirect, all on-device, in milliseconds.
Protect it
AI Data Protection (Marv)
Last-mile protection for PII, PCI, PHI, and IP. Marv detects and anonymizes sensitive data on-device, before it leaves. Specialized models for industry verticals like financial services, healthcare and legal.
Measure it
AI Insights
Measure AI productivity, proficiency, and adoption. The Insights Agent scores anonymized prompt sessions and surfaces patterns that drive ROI.
Our platform scales alongside your AI roadmap.
All product capabilities, ready to protect wherever work happens.
Tier 1
MagicMirror AI in Browser
Browser-Native AI Security. On-device protection for every web AI tool your employees use.
Tier 2
MagicMirror AI for Local Agents
Local-First AI Security. On-device runtime control across every AI workspace.
The stakes
AI is everywhere.
MagicMirror gives security leaders the confidence to navigate and control a rapidly evolving landscape.
Problem 01
Shadow AI is exposing sensitive data.
Problem 02
Security teams lack GenAI visibility.
Problem 03
Regulated data is leaking into AI tools.
Problem 04
AI investments are failing to deliver ROI.
Works with every AI tool your employees use.
GenAI tools, LLM APIs, custom internal models. 500+ supported. No vendor cooperation required.
Meet Marv.
Marv
Your team's AI guide.
Marv anonymizes sensitive data before it leaves the endpoint and delivers custom guidance to keep employees aligned with your AI policies.
01
Marv protects regulated data.
Real-time, on-device PII / PCI / PHI anonymization. Lets your team use their favorite AI tool while keeping compliance easy.
02
Marv protects business-critical data.
Safeguards your IP by blocking, anonymizing, or routing prompts to approved LLMs. Keeps your team in line with policy.
03
Marv makes company policy easy to enforce.
From blocking personal logins to verifying 'training on data' is off, Marv applies granular controls and in-product guidance to educate and enforce responsible AI use.
04
Marv scrubs your files
A blocked file promotes more ShadowAI, Marv cleans files in real time, keeping employees on task and sensitive data protected.
Trusted by
Trusted by security teams that don't compromise.
Customers & Partners
Architecture
A new architecture for AI governance.
Most AI governance tools enforce in the cloud, after data has already left. MagicMirror runs locally, where AI is used. Protection runs on-device, before sensitive data leaves. Faster, more accurate, more cost-efficient. No surveillance.
Built locally, not after the fact.
MagicMirror
On-device policy enforcement
Policies enforced locally using Small Language Models. Sensitive data is protected in real time before it leaves the device.
Zero-latency enforcement
All protection runs locally in the browser or device. No network calls, no cloud delays.
Purpose-built SLMs
Small Language Models outperform general-purpose LLMs for narrow, high-stakes tasks like PII and policy detection. Fewer 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 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 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
Inside the MagicMirror.
MagicMirror's architecture turns local safeguards into a platform for safely scaling AI across every workspace.
Small Language Models (SLMs)
On-device models classify AI interactions in real time to protect sensitive data. Purpose-built for security tasks, not general purpose.
Full Local Execution
Fast, on-device enforcement with no reliance on cloud processing. Policy decisions happen where the AI activity happens.
Custom Classifications
Define and refine AI policies tailored to your organization's data, roles, and use cases. Granular, intuitive, customer-controlled.
Extensible API & SDKs
Integrate MagicMirror insights into your broader security, governance, and analytics ecosystem. SIEMs, ticketing, dashboards, all connected.
Govern AI where it's used, not after the damage is done.
Questions? sales@magicmirror.team
