How does the Zero-Trust Agentic Guard work in practice when AI agents run shell commands or edit code?

PrivacyScrubber Agentic Guard acts as a local in-memory proxy between your workstation and autonomous AI coding agents (Cursor, Windsurf, Claude Code, Copilot). When an agent executes shell commands (guard_exec) or reads credentials (guard_read_file), output is intercepted in local RAM and secrets are replaced with anonymous tokens ([API_KEY_1], [EMAIL_1]). The remote LLM reasons exclusively over tokenized placeholders. When applying code changes (guard_apply_patch), tokens are reversed back to authentic local secrets in memory and written to disk with an automatic .bak backup. Zero secrets leave your device.

Does PrivacyScrubber send my data to any server?

No. Every detection and masking operation runs locally inside your browser's RAM. Zero bytes of your text, documents, or session tokens leave your device. Verify this yourself: open DevTools → Network tab, test our DLP speed benchmark , or disconnect from the internet entirely — our air-gapped local processing keeps working offline.

Which AI platforms does the browser extension support?

The PrivacyScrubber Chrome extension injects real-time PII masking directly inside ChatGPT, Claude, Gemini, Microsoft Copilot (Bing Chat), Grok, Perplexity, DeepSeek, Qwen, Kimi, and Zendesk. For coding agents and autonomous workflows, explore our AI Agents Protection guide, or use the web app at privacyscrubber.com to sanitize text before pasting it into any interface.

What does the free version include?

The free tier includes our core PII Removal Tool with the General PII profile (names, emails, phones, SSNs, EINs, addresses, corporate entity names), text scrubbing up to 15,000 characters, single-file upload (.txt, .docx), and PDF text extraction up to 3 pages. Our PRO Plan unlocks 24+ industry detection profiles, batch file processing, unlimited custom regex rules, offline OCR for scanned images & PDFs , and downloadable redacted PDFs.

Can PrivacyScrubber sanitize W-2 forms, paystubs, and payroll documents?

Yes. Our specialized financial PII profile natively detects Employer Identification Numbers (EIN/FEIN), payroll-format names (LASTNAME, FIRSTNAME), corporate employer names with legal suffixes (Inc, LLC, Corp), and US street addresses. All wage amounts, tax withholdings, hourly rates, and financial figures are preserved untouched — essential for loan underwriting and HR payroll compliance .

Can I get my original data back after the AI responds?

Yes. Paste the AI's response back into the tool and click Reveal. The 1-Click Reveal engine swaps every token ([NAME_1], [EMAIL_2], etc.) back to the original value using your volatile local session map — zero server round-trips, zero database storage.

Does this help with HIPAA, GDPR, or SOC 2 compliance?

PrivacyScrubber is designed to support de-identification under HIPAA Safe Harbor (45 CFR §164.514) for 18 PHI identifiers, GDPR Article 25/32 data minimization, and SOC 2 Type II controls by stripping identifiers in browser RAM before prompt submission. Review our Top 20 Corporate PII Guide and CISO AI Security Blueprint for detailed governance controls.

What is the CISO Procurement Memo and how do enterprise teams use it?

The CISO Procurement Memo is a standardized, copy-ready compliance document for enterprise IT, security architects, and procurement officers. It provides General Counsel, DPOs, and InfoSec committees with formal statutory evidence (GDPR Art. 4(8)/28, HIPAA 45 CFR § 164.502(e), CCPA § 1798.140) proving that because PrivacyScrubber runs 100% in local client RAM with 0 bytes transmitted to any server, third-party DPA/BAA contracts and lengthy vendor risk questionnaires (SIG/CAIQ) are legally non-applicable, enabling fast-track 0-day software approval.

How does PrivacyScrubber prove zero network egress and lightweight memory usage?

Every software build undergoes an automated 13-suite security and performance QA pipeline in continuous integration (CI). Automated headless network sniffers verify that during PII sanitization, exactly 0 HTTP, WebSocket, or background telemetry packets leave the browser. In-memory heap profiling enforces an ultra-lightweight ceiling under 6MB RAM (5.68 MB JS Heap) and sub-75ms streaming DOM mutation scans across 5,000 live nodes, ensuring zero laptop heating and zero CPU throttle. Review the full audit in our Technical Security Specifications .

What happens to the session map when I close the tab?

The session map exists exclusively in volatile browser RAM and is strictly isolated per tab. The moment you close the tab, reload the page, or navigate away, the entire mapping — including all original PII values and cryptographic keys — is permanently purged from memory. Read more in our Technical Security Architecture .

What is the difference between AI Tokens mode and Blackout mode in PrivacyScrubber?

AI Tokens mode replaces sensitive entities with structured badges like [NAME_1] and [EMAIL_1], preserving contextual roles for LLMs (ChatGPT, Claude) and allowing 1-click restoration via Reveal Originals. Blackout mode applies permanent, solid black raster bars over sensitive pixel coordinates, physically destroying vector text layers for court filings, legal discovery, and FOIA releases with zero underlying text leakage.

Why do standard PDF blackout tools leak data, and how does PrivacyScrubber prevent it?

Most conventional PDF editors and markup tools merely overlay black rectangles as a visual layer, leaving underlying OCR text, character coordinates, and metadata intact and extractable via Cmd+A copy or pdftotext. PrivacyScrubber executes true Secure Raster Flattening : pages are re-rendered in local RAM, PII coordinates are overwritten at the pixel level, and a fresh PDF is synthesized with zero underlying text layers, guaranteeing 100% leak-proof redactions.

What file formats can I sanitize, and what do I get back?

Supported formats include .txt, .docx, .pdf (text-layer and scanned images via Tesseract OCR), .xlsx, and .csv. With Batch File Redaction and Excel Spreadsheet Scrub , you can download sanitized files with PII removed or export redacted PDFs with permanent raster flattening (zero underlying text layers).

How does TEAMS encrypted session handoff work?

PrivacyScrubber TEAMS uses Argon2id key derivation and XChaCha20-Poly1305 authenticated encryption (via libsodium WASM). Through encrypted team session handoff , colleague Alice scrubs prompts and shares a cryptographic blueprint; colleague Bob restores original values locally with zero server intermediary.

How does Shadow DOM sandboxing protect against malicious scripts?

PrivacyScrubber wraps editor inputs and tokenized outputs inside closed Shadow DOM roots. This makes unredacted sensitive text completely inaccessible to DOM-scraping scripts, third-party analytics, or unauthorized browser extensions running on the host page. Learn more about our in-DOM prompt sandbox .

Can I use PrivacyScrubber as an MCP server in Cursor, Windsurf, or Claude Desktop?

Yes. The official @privacyscrubber/mcp-server package runs as a local stdio-based Model Context Protocol server for Cursor, Windsurf, Claude Desktop, and VS Code. It intercepts codebase prompts, sanitizes database passwords and API tokens in RAM, and protects your software development workflows with zero external calls.

Is there a developer SDK for integrating PII sanitization into my own pipeline?

Yes. The @privacyscrubber/sdk NPM package exposes the headless sanitization engine as a programmatic Node.js & ESM library. Call scrubText() and unscrubText() directly inside CI/CD pre-commit hooks, RAG pipelines, and automated LLM gateways with zero external dependencies.

Does changing the detection profile reset my session?

No. Switching between our 24+ industry profiles (e.g. from General to Legal & Contracts or Medical) preserves active tokens and session maps. Tokens remain restorable via Reveal until you click the Clear button explicitly.

How does PrivacyScrubber prevent data residue in system RAM?

After processing documents (PDF, DOCX, XLSX), the engine immediately overwrites all temporary ArrayBuffers at the byte level with zeroes (Uint8Array.fill(0)) before releasing them to garbage collection. Pair this with our tamper-evident audit receipts for verifiable forensic compliance.

Can enterprise or accounting teams pay via invoice or wire transfer?

Yes. For organizations requiring formal vendor onboarding, purchase orders (PO), or SWIFT/SEPA bank wire transfers, we provide custom invoicing with EU VAT reverse-charge support. Check our transparent pricing matrix or visit our Enterprise Solutions Hub .

Does PrivacyScrubber load any third-party analytics or tracking scripts?

No. The platform loads zero analytics trackers, third-party cookies, or fingerprinting scripts. Maintaining strict Content Security Policies (CSP) ensures third-party endpoints cannot inspect memory or DOM states. Review our full commitments in our Zero-Server Privacy Policy .

How are TEAMS admin roles managed without a backend?

There are no centralized accounts. Team administrators configure mandatory regex rules and compliance profiles locally in the Teams Deployment Hub , then generate a cryptographically signed Blueprint URL. When team members open this link, the configuration locks client-side without any backend database.

What rights does a Team Administrator have compared to Managed Team Members in TEAMS?

The purchaser acts as the Team Administrator with exclusive authority to configure organization-wide custom Regex rules, corporate token taxonomy (e.g. [PATIENT_ID]), and default compliance profiles in the Teams Dashboard . When the Admin exports a cryptographically signed Blueprint with Lock Rules enabled, Managed Team Members receive a locked, read-only configuration across their Web App and Chrome Extension (badged as 🔒 Enterprise), preventing employees from altering or bypassing corporate DLP policies.

What is the difference between Custom Regex Rules and Token Labels?

Our Custom Regex Rules Engine discovers proprietary data formats (custom ticket IDs, project codes like PROJ-1234, internal server URLs). Token Labels, in contrast, customize the replacement placeholder (e.g. renaming [NAME] to [PATIENT_ID]) to give LLMs optimal domain context without modifying regex patterns.

How does PrivacyScrubber detect PII without AI hallucinations or latency?

PrivacyScrubber utilizes a high-performance deterministic pattern matching engine running natively in browser RAM (sub-2ms execution time). Unlike cloud LLM-based redaction which can hallucinate, omit tokens, or introduce network latency, our deterministic parser guarantees 100% reproducible tokenization across 18 core Safe Harbor/GDPR entity types (names, emails, phones, SSNs, credit cards, IBANs, medical MRNs, API tokens). PRO users can also inject custom regex rules or run local offline OCR for documents.

How does license key custody, non-transferability, and emergency revocation work without user tracking?

Because PrivacyScrubber maintains a Zero-Trust Data Sanitization (ZTDS) architecture with zero server databases and zero phone-home user tracking, license custody is sovereign to the purchaser. All license tiers are strictly non-transferable. If a key is accidentally leaked or exposed, the billing owner can immediately request emergency revocation via support@privacyscrubber.com. We append the SHA-256 hash of the compromised key to our global Key Revocation List (KRL), instantly invalidating it across all client instances within 24 hours while reissuing a secure replacement.

What are the exact operational boundaries between Personal PRO, Team Workspace, and Developer SDK licenses?

PRO ($15/mo or $110 Lifetime) is a single-user personal license valid on up to 3 personal devices (Web, Chrome, IDE MCP). TEAMS ($99/mo flat) is an organization-wide internal workspace covering unlimited internal staff with Master Key Isolation. The Developer SDK ($199/mo or $1,990/yr) covers headless execution across unlimited internal backend nodes, microservices, ETL pipelines, and internal RAG vector databases. Embedding into customer-facing commercial SaaS for third-party resale requires an OEM/Enterprise contract.

Is the PrivacyScrubber MCP Server completely air-gapped and zero-network?

Yes. The @privacyscrubber/mcp-server package executes strictly in local machine memory over standard stdio JSON-RPC transport. It makes zero outbound network requests, transmits zero telemetry, and performs all PII sanitization and token mapping exclusively in your local volatile RAM, satisfying stringent IDE security policies across Cursor, Windsurf, and Claude Desktop.

Satisfy EU AI Act Data Governance Requirements Without Cloud DLP Overhead

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"PrivacyScrubber satisfies EU AI Act Article 10 (training data quality and data minimization), Article 13 (transparency obligations), and Article 52 (chatbot disclosure requirements) by executing 100% locally in the browser. EU personal data is pseudonymized before it reaches any General-Purpose AI (GPAI) system, eliminating cross-border transfer risks under Schrems II and the EU AI Act simultaneously."

Zero-Server Airplane Mode No Server Logs

ZTDS EU REGULATORY GATEWAY

EU AI Act Art. 10 & 52 Ready

<1.5ms

RAM Latency

0 Bytes

Cloud Egress

Art. 10 & 52

Data Minimization

Article 10 Data Governance: Enforces strict data minimization before prompts enter General-Purpose AI (GPAI) systems.

Article 52 Transparency Compliance: Tokenized prompts ensure outputs cannot be correlated to real natural persons.

Air-Gapped Operation: 100% local in-RAM execution verified via Airplane Mode.

Deploy Extension Deploy TEAMS ($99/mo)

Airplane Mode Verified · Zero Cloud Ingestion Inspect Architecture

Peer-Reviewed Foundation

CERN / Zenodo DOI OSF Benchmark (<2ms) SSRN / Elsevier Law Archive / OSF

Live Turnkey Simulator · ZTDS Engine

Interactive PII Detection & Sanitization Sandbox

Test real-time client-side RAM tokenization. Choose a specialized preset or paste your own raw prompt to test instant reversible redaction.

0 Bytes Server Egress

<1.8ms Latency

Select Industry Test Payload: Preset: EU AI Act

Raw Input Payload

0 chars

RAM-Only Isolated Session

Automated Detection Classes:

Customer / Employee Names Email Addresses Physical Addresses National Identifiers (SSN/SIN/NIF) User / Server IP Addresses IBAN Bank Accounts ORG

Open in Full Workspace

Article 10 compliance: Data minimization enforced at the browser layer before any LLM receives your prompts.

Article 52 transparency: Disclosure controls built in — users always know they are interacting with AI-processed, sanitized data.

Schrems II shield: Zero EU personal data transmitted to US-based AI infrastructure, eliminating cross-border transfer liability.

August 2026 deadline: High-risk AI deployers must register and audit by this date — local sanitization is your most auditable technical control.

Enterprise-Grade AI Privacy

Add custom redaction rules and priority support with PRO.

GO PRO

Zero-Trust GRC Checklist

GDPR: 100% local processing. Zero EEA egress.

HIPAA: Removes 18 PHI parameters.

SOC 2: Zero third-party cloud routing.

Billing: Flat-rate Teams ($99/mo).

Executive Summary: EU AI ACT

The EU AI Act (Regulation 2024/1689), in force since August 1, 2024, classifies ChatGPT, Copilot, and Claude as General-Purpose AI (GPAI) systems subject to Article 52 transparency obligations. For deployers using these tools with EU personal data, Article 10 requires data minimization — AI systems must operate with only the minimum necessary personal data. Organizations sending unredacted EU customer records or employee files to US-based LLMs face fines up to 7% of global annual turnover under Article 99. PrivacyScrubber's Zero-Trust Data Sanitization (ZTDS) architecture solves this at the browser layer: EU personal data is pseudonymized locally in under 15ms before any prompt crosses the network boundary, satisfying Article 10, Article 13, and eliminating Schrems II liability simultaneously.

Privacy Checkpoints

Article 10 compliance: Pseudonymize EU personal data locally before it enters any GPAI system prompt.
Article 52 transparency: Reversible tokenization creates an auditable [NAME_1] → original mapping — locally only, never transmitted.
Article 9 Risk Management: Local sanitization is a documented FRIA (Fundamental Rights Impact Assessment) technical control.
Schrems II / CJEU: Zero EU personal data transmitted to US servers — pseudonymized tokens are not personal data under GDPR Art. 4(1).
Shadow AI control: Prevent employees from leaking EU data via personal ChatGPT accounts — enforce organization-wide ZTDS policy.
August 2026 deadline: High-risk AI deployers (HR screening, credit scoring, medical triage) must register and audit technical controls.

PII Detection Matrix

Entity Type	Exposure Risk	Local Edge Control
EU Customer PII	Critical (Art. 10 + Art. 99 fine)	Local NER Pseudonymization
Employee HR Records	High (Art. 9 High-Risk AI)	[NAME_N] + [ID_N] Tokenization
Corporate IP / Contracts	Critical (Confidentiality + FRIA)	Custom Regex + ORG Masking
GPAI Prompt Data	Critical (Schrems II Transfer)	Zero-Server Browser Processing

"The EU AI Act (Regulation 2024/1689) entered into force August 1, 2024. For enterprises deploying General-Purpose AI systems like ChatGPT, Copilot, or Claude across EU operations, the core compliance challenge is data minimization under Article 10 — AI systems must be trained and prompted with only the minimum necessary personal data. Sending unredacted EU customer records, employee files, or clinical data to US-based LLMs violates this principle, and exposes your organization to fines up to 7% of global annual turnover under Article 99. PrivacyScrubber solves this architecturally: by pseudonymizing EU personal data in-browser before any prompt reaches OpenAI, Anthropic, or Microsoft servers, you satisfy Article 10 data minimization, Article 13 transparency, and eliminate Schrems II cross-border transfer risk — simultaneously, in under 15ms, with no infrastructure changes."

Strategy Insight for EU AI Act Leadership

Scaling AI adoption within EU AI Act environments requires a fundamental shift in data governance. Our enterprise AI solutions ensure that while teams use high-velocity LLMs, the underlying eu-ai-act data remains fully sovereign. This solution integrates directly with your EU AI Act industry guides to provide an automated privacy layer.

The core challenge for EU AI Act 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 and EU AI Act alignment preserves the semantic structure of your prompts locally, ensuring that AI reasoning remains accurate while personally identifiable information (PII) is deterministically masked.

EU AI Act Critical Compliance Vulnerabilities

Sending EU employee names, customer emails, or contract details to ChatGPT Free/Plus violates EU AI Act Article 10 data minimization and GDPR Article 28 simultaneously — without a DPA, each prompt is a compliance event.

ChatGPT Enterprise offers a DPA but costs ~€55/user/month and still requires your prompts to traverse US infrastructure, creating residual Schrems II cross-border transfer risk that DPAs cannot fully eliminate.

High-risk AI deployers (HR screening, credit scoring, medical triage) must register with national authorities and pass a Fundamental Rights Impact Assessment (FRIA) by August 2026 — without a documented technical control, your FRIA is incomplete.

Shadow AI is the #1 EU AI Act enforcement vector: employees using personal ChatGPT accounts for work tasks bypass all corporate DPAs and create direct organizational liability under Article 71 fines (up to 7% of global turnover).

GPAI model providers (OpenAI, Anthropic, Google) must publish training data transparency by August 2025 — but this does not retroactively protect your prompts from being used in future fine-tuning without explicit Enterprise agreements.

Manual PII review before AI prompting is 40-120× slower than automated local sanitization and introduces human error — the EDPB considers manual processes insufficient for systematic AI workflows under Article 32 security requirements.

EU AI Act Vector Analysis & Risk Scenarios

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

Advanced Threat Modeling

EU AI Act Input Neutralization

"Enterprise EU AI Act compliance requires eliminating personal data from LLM prompts before they cross organizational boundaries. PrivacyScrubber's browser-native Zero-Trust Data Sanitization (ZTDS) engine pseudonymizes EU citizen records locally, satisfying Article 10 data governance requirements without deploying on-premise models or negotiating expensive Data Processing Agreements with every AI vendor."

# eu_ai_act_compliance # eu_ai_act # eu_ai_act_2026 # eu_ai_act_chatgpt

Immediate Protection

Instantly mask EU AI Act 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 verifiable proof that your EU AI Act records never leave your control.

Hardware-Verified Sovereignty

Solving EU AI Act Challenges with Enterprise Governance

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

CISO / Compliance

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

Operations Lead

EU AI Act 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 eu-ai-act 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 automated integration provides zero server latency, enabling end-users to confidently use ChatGPT and Claude for immediate EU AI Act insights.

Relevance-Mapped Industry Profile

Named Entity (NER) General Profile: Detection Coverage

Universal Named Entity Recognition ruleset. Detects names, government IDs, bank accounts, project codenames, and geographic locations across unstructured text.

24+ Industry Profiles Active in Web, Extension & MCP

Top 6 EU AI Act Sensitive Entity Types Detected & Scrubbed

Automated Local Tokenization

[PERSON_NAME] Critical (Personal Identity)

Individual Full Name

Transform: Mark Miller → [NAME_1]

[ID_NUMBER] Critical (Regulatory PII)

Government SSN / Tax ID

Transform: 999-12-4482 → [ID_1]

[ACCOUNT_ID] Critical (Financial PII)

Bank IBAN & Account Ref

Transform: CH-8821-9901 → [ID_2]

[PROJECT_CODE] High (IP Leak)

Proprietary Project Codename

Transform: PROJECT NEBULA-X → [PROJECT_1]

[LOCATION_NAME] Medium (Location)

Geographic Location

Transform: Geneva Headquarters → [LOCATION_1]

[MONEY_VALUE] High (Value Exposure)

Financial Balance Amount

Transform: $1,450,000 → [VALUE_1]

Continuous Detection Engine Expansion & Custom Regex Sovereignty

The 6 entity types above represent the core detection baseline for EU AI Act. Our zero-trust engine detects hundreds of additional data classes and is continuously updated with new heuristic patterns, shadow AI leak vectors, and custom regulatory rulesets. Need proprietary database IDs or internal project codenames masked? PRO and TEAMS users can define unlimited custom regular expressions running 100% locally in browser RAM.

Explore PII Scanner

Engine Workflow

How the PrivacyScrubber Engine Solves This

Interactive Tool Controls for EU AI Act. Hover for specs.

Article 10 Data Hygiene Compliance

Enforce rigorous data governance and bias-mitigation standards before feeding datasets into high-risk AI models.

Technical Audit Data

Engine WASM-Accelerated
Privacy 100% Local RAM
Security Zero-Server Leak

In-DOM EU AI Act Guardrail

The Browser Extension intercepts and masks personal data in real-time across ChatGPT, Claude, and Copilot.

Technical Audit Data

Engine WASM-Accelerated
Privacy 100% Local RAM
Security Zero-Server Leak

Auditable Zero-Cloud Compliance

Generate tamper-evident local compliance documentation required by EU regulatory authorities with zero tracking.

Technical Audit Data

Engine WASM-Accelerated
Privacy 100% Local RAM
Security Zero-Server Leak

EU AI Act Compliance Library

Step-by-step redaction workflows for EU AI Act environments.

View all guides →

compliance

How to Encrypt Text Without a Server for HIPAA-Compliant Data Masking

How medical startups mask PHI locally and encrypt text without a server to share mappings with colleagues while keeping data inside the local RAM.

compliance

Top 20 Data Types Leaked to AI — Masked Automatically (GDPR & SOC 2)

Discover the top 20 sensitive PII and secret data types employees paste into ChatGPT, Claude, and Gemini — and how masking them locally in browser RAM prevents regulatory fines under GDPR, HIPAA, and SOC 2.

compliance

HIPAA Safe Harbor 18 Identifiers

The complete list of all 18 HIPAA Safe Harbor identifiers under 45 CFR § 164.514(b)(2). Learn how to de-identify clinical notes locally in RAM to safely use ChatGPT without an OpenAI BAA.

compliance

DPO AI Compliance Checklist 2026

A practical checklist for Data Protection Officers to ensure AI tool usage aligns with GDPR and Article 32 security standards. Zero-server architecture.

compliance

HIPAA & SOC 2 AI Audits

Learn how to pass your next security audit by implementing client-side PII masking for all AI-enabled business units. Flat-rate TEAMS pricing available.

compliance

US AI Privacy Laws 2026

How US privacy laws apply to AI tools. Why local PII scrubbing keeps you compliant in every US state. Flat-rate TEAMS pricing available.

compliance

GLBA AI Sanitization

Ensure Gramm-Leach-Bliley Act (GLBA) compliance when analyzing financial data with AI. Discover how to mask Non-Public Personal Information (NPI) locally.

compliance

Texas TDPSA AI Compliance

Ensure Texas Data Privacy and Security Act (TDPSA) compliance for ChatGPT, Claude, and enterprise AI workflows. Mask Texas consumer PII and sensitive data locally.

compliance

Virginia VCDPA AI Data Privacy

Satisfy Virginia Consumer Data Protection Act (VCDPA) requirements for generative AI. Implement client-side pseudonymization and automated Data Protection Impact Assessments.

compliance

Colorado AI Act (SB 205) & CPA

Navigate the Colorado AI Act (SB 205) and Colorado Privacy Act (CPA). Prevent algorithmic discrimination and manage high-risk AI system obligations with local data sanitization.

compliance

Washington My Health My Data Act

Comply with Washington My Health My Data Act (MHMDA) when using AI. Protect non-HIPAA consumer health, wellness, and biometric data from cloud LLM leakage with zero-trust redaction.

compliance

Connecticut CTDPA & Florida FDBR

Master Connecticut (CTDPA) and Florida Digital Bill of Rights (FDBR) compliance for generative AI. Enforce automated profiling opt-outs and biometric data protection.

compliance

Canada Bill C-27 & AIDA

Navigate Canada's Consumer Privacy Protection Act (CPPA) and Artificial Intelligence and Data Act (AIDA). Tokenize Canadian PII and provincial health numbers locally.

compliance

Japan APPI Compliance for AI

Comply with Japan's Act on the Protection of Personal Information (APPI) and Personal Information Protection Commission (PPC) Generative AI directives with zero-server masking.

compliance

Australia Privacy Act Reforms & AI

Prepare for Australia's Privacy Act Review reforms and comply with OAIC Generative AI guidelines. Protect Australian Tax File Numbers (TFN) and Medicare data in AI prompts.

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	ENTERPRISE Custom Tier
100% Local Processing (Airplane Mode)
Text Paste & Single File Docs	Max 5k chars	UNLIMITED	UNLIMITED	UNLIMITED
Batch Processing & Background OCR	—
Custom Regex & Specific Redaction Rules	—
Chrome Extension Native App	—
Silent Corporate Deployment (MDM)	—	—
Policy Control Center & Enforcement	—	—
On-Premise Source Code License	—	—	—
100% Air-Gapped Operation	—	—	—
Dedicated GRC Support	—	—	—
Includes guaranteed no server logs for all tiers. 100% Client-Side.	Try Free	Details	Deploy TEAMS	Enterprise Hub

EU AI Act Technical Compliance Library

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

Regulatory Standard

Technical Control

Auditable Evidence

EU AI Act Art. 10

Control Data Governance & Minimization

Audit Local pseudonymization ensures only de-identified tokens enter GPAI systems. Verifiable by Airplane Mode test — zero network traffic during scrubbing.

EU AI Act Art. 13

Control Transparency & Information

Audit Reversible tokenization creates a clear audit trail: [NAME_1] → original name mapping preserved locally, never transmitted.

EU AI Act Art. 52

Control Obligations for Chatbot Transparency

Audit Pre-scrubbed prompts remove all personal identifiers, ensuring chatbot outputs cannot be linked to specific EU data subjects.

EU AI Act Art. 9

Control Risk Management System

Audit Local sanitization is a documented technical control in your FRIA (Fundamental Rights Impact Assessment) — auditor-ready, zero-server footprint.

GDPR Art. 25

Control Data Protection by Design

Audit Browser-layer pseudonymization satisfies Privacy by Design: personal data never enters the AI processing pipeline in identifiable form.

Schrems II / CJEU

Control Cross-Border Transfer Prohibition

Audit Zero EU personal data transmitted to US servers. Pseudonymized tokens are not personal data under GDPR Art. 4(1) — no transfer restrictions apply.

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 EU AI Act institutions.

Compliance FAQ

Frequently Asked Questions

Common questions about deploying zero-trust AI for EU AI Act Teams.

Does the EU AI Act apply to my company if we use ChatGPT?

Yes, if you operate in the EU or serve EU users. Under the EU AI Act, your company is classified as a 'deployer' when you use AI systems in a professional context. If your use case falls under a high-risk category (HR decisions, credit scoring, medical triage, education), you must conduct a Fundamental Rights Impact Assessment (FRIA) and register with national authorities by August 2026. Even for standard GPAI tools like ChatGPT, sending EU personal data without a DPA violates GDPR Article 28, which the AI Act reinforces.

What are the EU AI Act compliance deadlines in 2025 and 2026?

Key deadlines: February 2025 — prohibited AI practices banned (social scoring, real-time biometric surveillance). August 2025 — GPAI model providers (OpenAI, Anthropic, Google) must publish training data transparency. August 2026 — all high-risk AI system deployers must register, conduct a FRIA, and implement documented technical controls. August 2027 — remaining high-risk product manufacturer obligations. For most enterprises using ChatGPT/Copilot, the August 2026 deadline is the critical compliance date.

How does local PII sanitization satisfy EU AI Act Article 10?

Article 10 requires that AI systems are trained and operated using data that is 'relevant, representative, and as free as possible from errors' — including strict data minimization. By pseudonymizing EU personal data locally before it enters any GPAI prompt, you ensure that only the minimum necessary information reaches the AI system. This enforces GDPR Article 5(1)(c) data minimisation at the point of entry and materially reduces the exposure of personal data to external GPAI systems.

What is the difference between a GPAI model and a high-risk AI system under the EU AI Act?

A General-Purpose AI (GPAI) model (like GPT-4o, Claude 3, Gemini) is a foundation model trained on broad data. It is subject to Article 52 transparency and Article 53 obligations on the provider side. A high-risk AI system is a specific deployment of AI for regulated purposes — CV screening, credit scoring, medical diagnosis. If your organization deploys ChatGPT for CV screening, your deployment becomes high-risk and triggers full Article 9, 10, 13 and FRIA obligations on you as the deployer, not just OpenAI.

Can local PII sanitization replace a Data Processing Agreement (DPA) with an AI vendor?

For GDPR purposes: replacing direct identifiers with locally retained tokens is a recognized pseudonymisation technical control (GDPR Art. 4(5) & Art. 32). By preventing raw personal identifiers from crossing the network perimeter to an external AI vendor, you enforce data minimisation (Art. 5(1)(c)) and drastically mitigate cross-border transfer liabilities (Chapter V). For EU AI Act purposes: local sanitization provides an auditable technical control demonstrating compliance with Article 10 data minimization and Article 9 risk management to support your FRIA.

Zero-Trust Sanitization Verified

100% GDPR, HIPAA & CCPA compliant. All PII processing occurs locally in browser RAM.

Start Protecting Data