GDPR Compliance Through Local Pseudonymization.

Satisfy GDPR Article 32 requirements for AI data processing. Implement local pseudonymization and data minimization locally.

Live Simulation
Local Engine v4

Zero-Trust Gdpr Sanitization

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

Active Redaction Parameters
[INTERNAL_IP][API_KEY][DATABASE_URL][AUTH_TOKEN][HOSTNAME] + CUSTOM_RULES
AIRPLANE_MODE_READY
CONFIG DUMP > Host: db-prod.internal.corp.com Token: Bearer eyJhbGciOiJSUzI1NiJ9.xK8m... Admin: ops@corp.com | IP: 192.168.1.104
CONFIG DUMP > Host: [HOSTNAME_1] Token: [TOKEN_1] Admin: [EMAIL_1] | IP: [IP_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
0%
Data Leaked
100%
Audit Proof

How privacy-conscious Gdpr teams use the tool

Our Zero-Trust engine is uniquely positioned to solve the most critical compliance bottlenecks when adopting modern AI workflows.

Workflow Challenge 1

Processing EU citizen data in US-hosted LLMs without proper pseudonymization can lead to massive GDPR Article 32 fines.

Workflow Challenge 2

Generic AI 'privacy toggles' do not satisfy the requirement for proportionality and data minimization at the point of origin.

Workflow Challenge 3

Deploy localized pseudonymization to transform PII into non-identifying tokens before cross-border data transfer.

Gdpr PRO Engine

Advanced Semantic Data Masking

Protected Parameters (Masked Locally)

[NAME][EMAIL][PHONE][ACCOUNT_ID][SSN] + CUSTOM_REGEX

Key Problems Solved

  • Executes 100% locally in your browser leveraging WebAssembly.
  • Bypasses cloud APIs to guarantee zero data extraction.
  • Maintains structural integrity of your payloads and documents.
  • Satisfies stringent vendor risk management requirements.

Compare Edition Features

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

Core Capabilities
Free
Web Only
PRO
$49 Lifetime
TEAMS
$49/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

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

GDPR Technical Implementation Mapping

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

GDPR Article 5(1)(c)
Control Data Minimization
Audit Deterministic Local Tokenization
GDPR Article 32
Control Security of Processing
Audit AES-GCM Local Token Storage
GDPR Article 4(5)
Control Pseudonymization
Audit Local SessionMap Isolation

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 Gdpr 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

"The General Data Protection Regulation (GDPR) mandates 'Privacy by Design and by Default.' In the context of Generative AI, this means applying data minimization and pseudonymization before processing begins. PrivacyScrubber enables organizations to satisfy GDPR Article 5(1)(c) and Article 32(1)(a) by stripping identifying details locally on the user's device. Our Zero-Trust Data Sanitization (ZTDS) framework ensures that AI providers only see pseudonymized 'tokens,' preventing the re-identification of EU citizens and ensuring that your AI strategy remains fully compliant with the world's most rigorous privacy standards."

Strategy Insight for GDPR-Compliant Leadership

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

The core challenge for GDPR-Compliant 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 GDPR compliance preserves the semantic structure of your prompts locally, ensuring that AI reasoning remains accurate while personally identifiable information (PII) is deterministically masked.

GDPR-Compliant Critical Compliance Vulnerabilities

Processing EU citizen data in US-hosted LLMs without proper pseudonymization can lead to massive GDPR Article 32 fines.

Generic AI 'privacy toggles' do not satisfy the requirement for proportionality and data minimization at the point of origin.

Deploy localized pseudonymization to transform PII into non-identifying tokens before cross-border data transfer.

Gdpr Vector Analysis & Risk Scenarios

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

Advanced Threat Modeling

Gdpr Input Neutralization

"The GDPR Vector prioritizes the distinction between internal identity and external utility. By replacing real identities with deterministic placeholders locally, we ensure that the LLM processes only the 'logic' of the request, satisfying the mandate for data minimization without sacrificing analytical quality."

# gdpr_compliant_ai # ai_pseudonymization # data_minimization_online # privacy_by_design_ai
Immediate Protection

Instantly mask Gdpr 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.

GDPR Technical Implementation Mapping

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

GDPR Article 5(1)(c)
Control Data Minimization
Audit Deterministic Local Tokenization
GDPR Article 32
Control Security of Processing
Audit AES-GCM Local Token Storage
GDPR Article 4(5)
Control Pseudonymization
Audit Local SessionMap Isolation

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 Gdpr institutions.

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 GDPR-Compliant records never leave your control.

Hardware-Verified Sovereignty

Solving GDPR-Compliant Challenges with PrivacyScrubber TEAMS

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

CISO / Compliance

In the GDPR-Compliant 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 gdpr records are never exfiltrated to external LLM servers, instantly satisfying compliance and governance audits.

Operations Lead

GDPR-Compliant teams require agile collaboration without compromising privacy. The TEAMS subscription features encrypted Session Sharing, allowing 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 gdpr 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 GDPR-Compliant insights.

Better on Desktop

Protect data safely locally