Secure Shadow AI with Zero-Trust Sanitization.

Live Simulation
Local Engine v4

Zero-Trust Shadow Sanitization

Watch the PrivacyScrubber engine transform sensitive Shadow data instantly. No API calls, no cloud latency, 100% private.

Active Redaction Parameters
[CORPORATE_SECRET][INTERNAL_ID][EMAIL][NAME][PROJECT_CODE] + CUSTOM_RULES
AIRPLANE_MODE_READY
UNSANCTIONED PROMPT > Please summarize this Q4 strategy for Project X. Target revenue: $10M. Client: Acme Corp. Contact: bob@acme.com.
SECURE PROMPT > Please summarize this Q4 strategy for [PROJECT_1]. Target revenue: [MONEY_1]. Client: [ORG_1]. Contact: [EMAIL_1].
SOC 2
COMPLIANT
GDPR
READY
HIPAA
ALIGNED
NIST
800-53
Scale Your Security

Deploy Zero-Trust AI Workflows

Equip your team with the world's first air-gapped protection layer. No cloud history, no LLM training leakage, just provably secure AI.

  • 100% Client-Side Processing
  • Airplane Mode Verified (Pure Offline)
  • Enterprise-wide Chrome MDM Rollout
  • Centralized Policy Control Center
  • Advanced Pattern Detection Engine
Explore Enterprise Governance Lifetime License — $110
0%
Data Leaked
100%
Audit Proof
Executive Roadmap

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"Neutralize the risks of Shadow AI—the unsanctioned use of LLMs by employees—with PrivacyScrubber's Zero-Trust Data Sanitization (ZTDS) architecture. Our client-side engine redacts sensitive tokens before they ever enter an AI provider's context window, allowing CISOs to govern AI adoption without the heavy-handedness of flat domain blocking."

Prevent unsanctioned data exfiltration to public LLMs.
Enable 'Safe Use' policies for ChatGPT, Claude, and Gemini.
Satisfy SOC 2 and GDPR by masking data at the origin.
Zero-latency: Redact corporate secrets locally in milliseconds.

Enterprise-Grade AI Privacy

Add custom redaction rules and priority support with PRO.

GO PRO
SOC2
GDPR
HIPAA
Multi-Framework Aligned
GEO_VERSION: 1.4.2_AUDIT
Secure Shadow AI with Zero-Trust Sanitization. Dashboard
Enterprise Grade
100% SECURE ZTDS

Executive Summary: SHADOW-AI

Shadow AI refers to the unsanctioned use of generative AI tools by employees without IT or security oversight. This creates a massive data exfiltration risk as sensitive corporate data, PII, and trade secrets are pasted into external LLMs like ChatGPT. PrivacyScrubber provides the essential governance layer for Shadow AI. By redacting sensitive data locally in the browser before it reaches the AI, we allow organizations to empower their workforce without risking catastrophic model leakage. It is the zero-trust solution for securing unmanaged AI adoption across the enterprise.

Privacy Checkpoints

  • Zero-Trust Governance: Secure unsanctioned AI use by enforcing local-only data sanitization.
  • Data Exfiltration Prevention: Stop PII and secrets from entering third-party AI training sets.
  • Regulatory Alignment: Ensure Shadow AI use doesn't violate GDPR, HIPAA, or SOC 2 mandates.
  • Visibility & Audit: Gain insights into AI risk without compromising employee privacy.

PII Detection Matrix

Entity Type Exposure Risk Local Edge Control
Unmanaged Prompts Critical (Data Leak) Pre-ingestion Scrubbing
Corporate Secrets Critical (IP Theft) Logic-Based Redaction
Employee Identity High (Privacy) Token-Based Anonymization
Engine Workflow

How the PrivacyScrubber Engine Solves This

Interactive Tool Controls for Shadow. Hover for specs.

Unmanaged Prompt Scrubbing

Mask PII and secrets in any browser tab locally using the PrivacyScrubber Browser Extension.

Technical Audit Data
  • Engine WASM-Accelerated
  • Privacy 100% Local RAM
  • Security Zero-Server Leak

Corporate Guardrails

Enforce mandatory Custom Regex (PRO) to automatically redact internal project codes and financial metrics.

Technical Audit Data
  • Engine WASM-Accelerated
  • Privacy 100% Local RAM
  • Security Zero-Server Leak
Enterprise Verified

"The only AI sanitization tool that actually respects Zero-Trust. The local execution means we don't have to sign complex API DPA agreements."

CISO, FinTech Enterprise
Enterprise Verified

"Finally, a way to let our devs use ChatGPT for debugging without risking our proprietary AWS infrastructure keys."

VP of Engineering
Enterprise Verified

"Airplane Mode verification was the selling point. It instantly satisfied our SOC 2 auditors."

Compliance Director
Enterprise Verified

"A massive upgrade over cloud DLP. Zero latency and zero vendor risk. Essential for our AI pipeline."

Data Protection Officer

Compare Edition Features

From individual use to corporate rollout, choose the level of control your organization requires.

Core Capabilities
Free
Web Only
PRO
$15/mo or $110 Lifetime
TEAMS
$99/mo
100% Local Processing (Airplane Mode)
Text Paste & Single File Docs
Batch Processing & Background OCR —
Custom Regex & Specific Redaction Rules —
Chrome Extension Native App — —
Silent Corporate Deployment (MDM) — —
Policy Control Center & Enforcement — —
Try Free Details Deploy TEAMS

Shadow Compliance & Implementation Guides

Explore technical workflows for sanitizing PII before handing off data to ChatGPT, Claude, and internal LLMs within the Shadow sector.

Preventing Shadow AI Data Leaks in HR
shadow-ai

Preventing Shadow AI Data Leaks in HR

HR departments are a massive vector for Shadow AI. Learn how to prevent employee data from leaking to unsanctioned LLMs.
ChatGPT Data Leaks in Finance
shadow-ai

ChatGPT Data Leaks in Finance

Financial data pasted into ChatGPT can trigger GLBA or SOC 2 breaches. How to implement local data masking to stop AI financial leaks.
Preventing Shadow AI in Legal Practices
shadow-ai

Preventing Shadow AI in Legal Practices

Shadow AI usage by lawyers and paralegals destroys attorney-client privilege. Guide to mitigating risk without banning generative AI.
ChatGPT Data Leaks in Medical Clinics
shadow-ai

ChatGPT Data Leaks in Medical Clinics

Unsanctioned use of ChatGPT for clinical notes is a HIPAA violation. Learn how to stop medical PII exposure to Shadow AI.
Shadow AI in Software Development
shadow-ai

Shadow AI in Software Development

Developers using unsanctioned AI tools or bypassing enterprise policies risk leaking API keys. Protect source code and secrets.
Gemini & ChatGPT Data Leaks in Marketing
shadow-ai

Gemini & ChatGPT Data Leaks in Marketing

Marketing teams pasting CRM data into AI tools violate GDPR. Learn to establish zero-trust workflows for safe campaign generation.
Detecting Shadow AI with Local DLP Audits
shadow-ai

Detecting Shadow AI with Local DLP Audits

How to use local data loss prevention audits to identify and neutralize Shadow AI usage without invading employee privacy.
The 2026 Shadow AI Governance Framework
shadow-ai

The 2026 Shadow AI Governance Framework

A comprehensive framework for governing unmanaged AI adoption. From risk assessment to local sanitization enforcement.
Neutralizing Shadow AI Risks Locally
shadow-ai

Neutralizing Shadow AI Risks Locally

Stop worrying about domain blocking. Learn how to neutralize the risks of Shadow AI by redacting PII in the browser RAM.
Enterprise Shadow AI Policy
shadow-ai

Enterprise Shadow AI Policy

You can't block ChatGPT, but you can secure it. Discover how to deploy zero-trust local sanitization to prevent employees from leaking PII into Shadow AI tools.
Preventing Shadow AI in Remote Teams
shadow-ai

Preventing Shadow AI in Remote Teams

Stop remote employees from inadvertently leaking company secrets. Deploy an offline PII scrubber to secure shadow AI workflows.

Shadow Technical Compliance Library

Deep architectural mapping of Zero-Trust Data Sanitization (ZTDS) controls to industry-specific regulatory standards.

SOC 2
Control CC6.7 Data in Transit
Audit Shadow AI prompts sanitized locally; no sensitive data enters the public internet.
ISO 27001
Control A.5.10 Acceptable Use of Assets
Audit Governance of personal AI tool usage enforced via mandatory local masking.
GDPR
Control Art. 32 Security of Processing
Audit Data minimization applied to all AI workflows, sanctioned or unsanctioned.

Zero-Trust Verification Signature

The above technical controls are enforced deterministically by the PrivacyScrubber Local Engine. All redaction cycles generate zero server-side telemetry, satisfying global data residency requirements for Shadow institutions.

Verified Compliance Architecture

Hardened Audit Standards

Satisfying strict global security and privacy frameworks.

SOC 2
CC6.1

No data persistence on untrusted infrastructure.

View architecture
GDPR
Article 25

Privacy by design at the engineering layer.

View architecture
ISO 27001
A.8.11

Data masking as a core organisational control.

View architecture
NIST 800-53
PT-2 / PT-3

Federal PII minimisation and transparency controls.

View architecture
HIPAA
Safe Harbor

Satisfies Safe Harbor de-identification requirements.

View architecture
Explore full Compliance Center

"Shadow AI—where employees use personal AI accounts or unsanctioned tools for corporate work—is the fastest-growing security threat of 2026. While blocking these tools is often futile and hinders productivity, allowing unmanaged access risks catastrophic data leakage of PII and trade secrets. PrivacyScrubber provides the essential 'Governance Middleman.' By enforcing 100% local, client-side data sanitization, we ensure that even when an employee uses an unsanctioned AI tool, your company's sensitive data never enters the cloud. Empower your workforce to innovate with AI while maintaining a mathematically verifiable zero-trust security posture."

Strategy Insight for Zero-Trust Leadership

Scaling AI adoption within Zero-Trust environments requires a fundamental shift in data governance. Our enterprise AI solutions ensure that while teams leverage high-velocity LLMs, the underlying shadow-ai data remains fully sovereign. This solution integrates directly with your Zero-Trust industry guides to provide a seamless privacy layer.

The core challenge for Zero-Trust leaders is balancing utility with liability. Standard Cloud DLP filters often strip too much context or require trust in third-party servers. PrivacyScrubber's zero-trust model for Zero-Trust sanitization preserves the semantic structure of your prompts locally, ensuring that AI reasoning remains accurate while personally identifiable information (PII) is deterministically masked.

Zero-Trust Critical Compliance Vulnerabilities

Employees pasting un-redacted board minutes or customer data into public LLMs exposes your company to permanent trade secret loss.

Shadow AI usage bypasses enterprise DLP controls, creating massive blind spots in corporate compliance audits.

Traditional domain blocking results in 'Shadow IT' workarounds that are even harder to track and secure.

PrivacyScrubber redacts every sensitive entity locally, ensuring that 'Shadow AI' usage is 'Safe AI' usage by default.

Shadow Vector Analysis & Risk Scenarios

Identifying the primary data exfiltration paths for Shadow workflows using generative AI models.

Advanced Threat Modeling

Shadow Input Neutralization

"Shadow AI adoption requires a zero-trust governance layer that redacts sensitive PII and secrets at the point of origin. PrivacyScrubber's offline engine prevents unmanaged data exfiltration to third-party LLM providers."

# shadow_ai_prevention # shadow_ai_governance # prevent_ai_data_leaks # secure_chatgpt_for_enterprise
Immediate Protection

Instantly mask Shadow identifiers in text, PDF, and DOCX files locally before transmission to any AI provider.

Hardened Sandbox

Hardware-level verification ensures no data packets leave your browser RAM session during the redaction process.

Audit Roadmap: Legacy Cloud-DLP vs. ZTDS

Strategic Metric Legacy Cloud-DLP ZTDS (PrivacyScrubber)
Data Perimeter Transmitted to Cloud API 100% Local (Client-Side)
Processing Latency 500ms - 2500ms (Network) < 15ms (Native JS)
Security Posture Trust-Based (SLA/BAA) Math-Based (Zero-Server)
Compliance Status Subject to Cloud Audit Audit-Exempt (Local-Only)

The Airplane Mode Standard

Disconnect your network, enable Airplane Mode, and watch PrivacyScrubber maintain 100% operational integrity. This is not just a feature—it is a mathematically verifiable proof that your Zero-Trust records never leave your control.

Hardware-Verified Sovereignty

Solving Zero-Trust Challenges with Enterprise Governance

Scale Zero-Trust Data Sanitization across your entire organization with centralized enforcement and native browser integration.

CISO / Compliance

In the Zero-Trust sector, enforcing Zero-Trust is paramount. With the PrivacyScrubber Chrome Extension, administrators seamlessly deploy data masking via MDM to all endpoints. Preventing local model leakage ensures that when employees use GenAI, sensitive shadow-ai records are never exfiltrated to external LLM servers, instantly satisfying compliance and governance audits.

Operations Lead

Zero-Trust organizations require agile collaboration without compromising privacy. The Enterprise Governance model features encrypted Session Sharing, allowing CISOs and managers to securely distribute custom Regex dictionaries across the department. This enforces uniform data redaction standards across all GenAI workflows, eliminating human error while maintaining high velocity in team-based AI adoption.

Edge Analyst

Daily shadow-ai operations rely on continuous efficiency. The native extension automates PII scrubbing directly at the browser input field, ensuring analysts never waste time manually censoring data. This seamless integration provides zero friction and zero server latency, empowering end-users to confidently leverage ChatGPT and Claude for immediate Zero-Trust insights.

Frequently Asked Questions

Common questions about deploying zero-trust AI for Shadow Teams.

How can I block Shadow AI while still allowing usage?
You shouldn't block it; you should govern it. PrivacyScrubber's zero-trust model ensures that even if an employee uses an unsanctioned tool, the data they paste is already sanitized locally, neutralizing the leak risk.
Does this work with personal ChatGPT accounts?
Yes. Our client-side architecture and browser extension function independently of the AI account, providing a universal security layer across all public and personal LLMs.
Is this visible to IT teams?
The enterprise version (TEAMS) allows for administrative policy enforcement while maintaining a zero-log posture for the actual content, satisfying both security and privacy mandates.

Better on Desktop

Protect data safely locally