Compliance Standards

PrivacyScrubber Compliance — Zero-Trust AI Privacy for Every Framework

Client-side PII redaction for GDPR, HIPAA, SOC 2, and ISO 27001 AI compliance. Zero server processing — no DPA, no BAA, no vendor risk. Audit-ready from day one.

8
Frameworks Covered
300+
Compliance Guides
0
Servers Processing Data
100%
Local Processing
GDPR 14 guides HIPAA 6 guides SOC 2 6 guides ISO 27001 5 guides NIST 4 guides CCPA 3 guides PCI-DSS 3 guides EU AI Act 8 guides

How PrivacyScrubber Supports Regulatory Compliance in RAM

Traditional compliance tools require you to route sensitive prompts through third-party proxy servers — introducing external subprocessors, requiring Data Processing Agreements (DPAs), Business Associate Agreements (BAAs), and lengthy vendor audits. PrivacyScrubber's Zero-Trust Data Sanitization (ZTDS) architecture eliminates proxy data routing entirely.

All personally identifiable information (PII) is detected and tokenized directly in your browser's RAM — before any text reaches an AI model. Sensitive entities are replaced with cryptographic tokens like [NAME_1] or [EMAIL_1] locally. The AI model receives only anonymized tokens — never raw PII.

This architecture delivers technical safeguards aligned with GDPR Article 25 (Privacy by Design), HIPAA Safe Harbor §164.514(b) (18 PHI categories de-identified), SOC 2 CC9.1 (zero third-party data transmission), ISO 27001 A.8.11 (automated data masking at the endpoint), and NIST 800-53 PT-2/PT-3 (purpose specification and data minimization controls) — without requiring third-party data processor agreements or cloud infrastructure audits.

Zero-Subprocessor
No data processor relationship formed. Eliminates GDPR Article 28 third-party subprocessor risk.
Safe Harbor De-ID
ePHI is de-identified in local RAM before transmission under 45 CFR §164.514(b).
Zero Attack Surface
Client-side execution eliminates cloud server exposure and simplifies vendor security assessment.

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"PrivacyScrubber provides client-side technical safeguards designed to support GDPR Article 32, HIPAA Safe Harbor (§164.514b), SOC 2 CC9.1, ISO 27001 A.8.11, NIST 800-53 PT-2/PT-3, CCPA, and PCI-DSS through its Zero-Trust Data Sanitization (ZTDS) architecture. All PII is de-identified locally in browser RAM before prompt transmission — eliminating third-party subprocessor data exposure."

Zero-Subprocessor Model — eliminates external data processing relationships
HIPAA Safe Harbor — transforms PHI into de-identified data in local RAM
SOC 2 CC9.1 — ephemeral session, zero data transmitted to third parties
ISO 27001 A.8.11 — automated data masking at the client endpoint
NIST 800-53 PT-2/PT-3 — purpose specification and data minimization safeguards

Enterprise-Grade AI Privacy

Add custom redaction rules and priority support with PRO.

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Academic Foundations & Standards Governance

Institutional Trust & Formal Scientific Publications

Our Zero-Trust Data Sanitization (ZTDS) architecture is grounded in permanent scientific research, peer-reviewed methodology, and international privacy standards.

Internet Society (ISOC)

Institutional member of the Internet Society and ISOC-IL Chapter (#2377647), contributing to global encryption policy and open data sovereignty.

Global Member · ISOC-IL

Zenodo / CERN (DOI)

Foundational treatise on Zero-Trust Data Sanitization (ZTDS) deposited under permanent Digital Object Identifier.

doi:10.5281/zenodo.22058770

OSF Latency Benchmark

Empirical latency and throughput study (<3ms local RAM vs 250ms+ cloud DLP proxies) indexed on Center for Open Science.

doi:10.17605/OSF.IO/5BYJF

SSRN & Law Archive

Legal treatises on Preserving Attorney-Client Privilege and EU AI Act / UK GDPR compliance via ephemeral de-identification.

SSRN:7335581 · LawArchive:4wc86

Compliance Standards Coverage

6 guides

Mask All 18 HIPAA Identifiers Client-Side Before Sending Prompts to AI

Achieve HIPAA compliance for AI workflows using the Safe Harbor method. Redact all 18 PHI identifiers locally before LLM analysis.

HIPAA 164.514(b) · De-identification Method
100% Local Redaction of 18 Identifiers
View Standard
14 guides

Mask Personal Data at the Keyboard Level to Satisfy GDPR Article 25

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

GDPR Article 5(1)(c) · Data Minimization
Deterministic Local Tokenization
View Standard
6 guides

Hand Your Auditor a Signed SOC 2 Compliance Receipt for AI Usage

Don't let ChatGPT ruin your SOC 2 audit. Redact customer PII with Airplane-Mode Security before data reaches public LLMs.

TSC CC6.1 · Logical Access
Direct Client-Side Execution Only
View Standard
5 guides

Automate ISO 27001 Annex A.8.11 Data Masking for ChatGPT & Claude

Satisfy ISO 27001 Annex A.8.11 and A.8.12 indicators for data masking and leakage prevention in AI workflows.

ISO 27001 A.8.11 · Data Masking
Context-Aware Local Redaction
View Standard
4 guides

NIST 800-53 Compliance for Federal AI Workflows.

Eliminate the barrier to federal AI adoption. Satisfy NIST 800-53 PT-2 & PT-3 privacy controls locally on GFE before any data leaves the secure perimeter.

NIST 800-53 · PT-2 Purpose Specification
PII usage limited to specified purpose via local tokenization before AI processing.
View Standard
3 guides

CCPA & CPRA Compliance for Generative AI.

Satisfy CCPA and CPRA mandates for AI data masking. Implement 'Right to be Forgotten' and Data Minimization locally.

CCPA · §1798.100 Right to Know
No consumer data collected or stored; zero disclosure obligations triggered.
View Standard
3 guides

PCI-DSS Compliance for AI Payment Workflows.

Stop cardholder data leaks in AI workflows. Implement PCI-DSS Requirement 3.4 locally for secure AI billing and support.

PCI-DSS 3.4 · Render PAN Unreadable
Local Edge Masking of Cardholder Data
View Standard
8 guides

Satisfy EU AI Act Data Governance Requirements Without Cloud DLP Overhead

EU AI Act compliance for enterprises using ChatGPT, Claude, and Copilot. Satisfy Article 10 data minimization and Article 52 transparency requirements with 100% local PII sanitization.

EU AI Act Art. 10 · Data Governance & Minimization
Local pseudonymization ensures only de-identified tokens enter GPAI systems. Verifiable by Airplane Mode test — zero network traffic during scrubbing.
View Standard

Regulatory Control Mapping

Framework Control ZTDS Coverage
GDPR Art. 25 & 32 ✅ Local pseudonymization
HIPAA §164.514(b) ✅ All 18 PHI removed locally
SOC 2 CC9.1 ✅ Zero transmission
ISO 27001 A.8.11 ✅ Browser-side AES masking
NIST 800-53 PT-2 / PT-3 ✅ Ephemeral session RAM only
CCPA §1798.100 ✅ No data collected or sold
Blast Radius Elimination

Threat Vectors & Breach Liability: DPA Promise vs ZTDS Reality

Why contractual DPAs fail during vendor security breaches, and how architectural client-side sanitization reduces net personal data risk to zero.

Threat Vector Traditional Approach (Contractual DPA) ZTDS Approach (PrivacyScrubber)
AI Provider Cloud Breach
OpenAI, Anthropic, or API breach 		Catastrophic Exposure: Raw customer prompts, proprietary financials, employee names, and API credentials stored in vendor logs and training caches are exfiltrated. Zero Breach Payload: Exfiltrated logs contain only detached semantic tokens ([NAME_1], [PHONE_1]). True identities never reached the cloud.
Rogue AI Insider / Support Access
Subprocessor staff & contractors 		Full Internal Visibility: Vendor support engineers and data annotators with database access can inspect raw conversation histories and sensitive corporate records. Cryptographic Blindness: Subprocessor staff view only abstract tokens. The re-identification map exists exclusively in the employee's local browser volatile RAM.
GDPR Art. 33 / 72-Hour Notification
Regulatory breach disclosure 		Mandatory Disclosure: Mandatory notification to supervisory authorities within 72 hours, triggering public PR fallout, forensic audits, and potential GDPR Article 83 fines up to €20M. Statutory Exemption: Stripped of identifiability prior to transmission, exfiltrated tokens do not meet the legal threshold of a "personal data breach". No 72-hour notification required.
Incident Response Timeline
Forensic investigation cost 		Weeks of Forensic Tracing: Expensive forensic engagements, prompt history subpoenas, and protracted litigation to determine which customer records were exposed. Minutes to Verify: Auditors verify that local tokenization was active. Zero PII transmitted; case is formally documented and closed in minutes.
Empirical Performance Benchmark

Zero-Latency Compliance: <3ms Local V8 vs 250ms+ Cloud Proxy

Legacy cloud DLP proxies insert remote network hops, TLS renegotiation, and queuing delays (250ms–1,500ms), breaking token streaming in ChatGPT and Claude. PrivacyScrubber tokenizes data deterministically inside the local V8 engine with sub-3ms latency and zero network hops.

PrivacyScrubber (Client-Side ZTDS) < 3 ms (0 Network Hops)
Cloud DLP Proxy (Nightfall / Skyflow / AWS Comprehend) 250 ms – 1,500 ms (2 Roundtrips)
Dataset DOI: 10.17605/OSF.IO/5BYJF Run In-Browser Speed Benchmark
Audit Verification

30-Second Auditor Protocol

Your CISO, DPO, or external SOC 2 auditor does not need to take our word for it. They can mathematically verify zero data egress in 3 simple steps:

  1. 1 Open DevTools: Press F12 and navigate to the Network tab.
  2. 2 Disconnect Network: Turn off Wi-Fi or toggle your device to Airplane Mode.
  3. 3 Execute Scrubbing: Paste sensitive data or upload a file. Notice instant tokenization with 0 HTTP requests and 0 bytes transferred.
Airplane Mode Verified Learn more →
Governance Framework

Enterprise Shared Responsibility Model

Clear division between client-side technical safeguards and organizational compliance governance.

PrivacyScrubber Responsibility

Technical Safeguards (Endpoint)
  • 100% Client-Side Tokenization: Intercept and mask PII in local browser RAM (<2ms).
  • Zero Payload Egress: 0 bytes of confidential prompt data transmitted to PrivacyScrubber servers.
  • Deterministic Mapping: 1-to-1 token reversibility with strict tab-level memory isolation.
  • Verifiable Air-Gap: Full offline functionality verified via browser Airplane Mode.

Organization Responsibility

Organizational Safeguards (Policy)
  • AI Acceptable Use Policy: Establishing corporate guidelines for permitted AI tools.
  • Extension & Policy Deployment: Enforcing browser extension via Chrome Enterprise / MDM policies.
  • Custom Entity Governance: Defining proprietary internal project codes and secrets via custom regex.
  • Direct AI Vendor Agreements: Managing commercial terms with OpenAI, Anthropic, or Google directly.

Compliance in 3 Steps

1

Paste Sensitive Document

Input any text, DOCX, PDF, or CSV containing PII — HR records, patient notes, legal contracts, financial data.

2

Auto-Tokenize Locally

PII is detected and replaced with cryptographic tokens in your browser RAM. Nothing leaves your device. No upload, no cloud.

3

Submit to AI — Compliantly

Send only the clean, tokenized output to ChatGPT, Claude, or any LLM. Your GDPR/HIPAA/SOC 2 obligations are satisfied automatically.

Frequently Asked Questions

Common compliance questions from legal, security, and procurement teams.

Does PrivacyScrubber require a Data Processing Agreement (DPA)?
No. Because PrivacyScrubber processes all data locally in the user's browser RAM without transmitting it to any server, PrivacyScrubber does not qualify as a Data Processor under GDPR Article 28. Therefore, no Data Processing Agreement is required. Your legal team can verify this by running the Airplane Mode test — the tool operates identically with network disconnected after initial page load.
Which regulatory frameworks does PrivacyScrubber satisfy?
PrivacyScrubber's Zero-Trust Data Sanitization (ZTDS) architecture satisfies: GDPR Articles 25 and 32 (Privacy by Design and Technical Measures), HIPAA Safe Harbor §164.514(b) (18 PHI categories de-identified), SOC 2 Type II CC9.1 (controls over third-party transmission — zero transmission achieved), ISO 27001 A.8.11 (data masking), NIST 800-53 PT-2 and PT-3 (purpose specification and data minimization), and CCPA §1798.100 (no data collected or sold).
Is PrivacyScrubber HIPAA-compliant without a Business Associate Agreement (BAA)?
Yes. Under HIPAA Safe Harbor (45 CFR §164.514(b)), if all 18 Protected Health Information (PHI) identifiers are removed before data is transmitted, the remaining de-identified data is no longer subject to HIPAA. PrivacyScrubber removes all 18 PHI categories locally — names, geographic data, dates, phone numbers, fax numbers, emails, SSNs, MRNs, health plan beneficiary numbers, account numbers, certificate/license numbers, VINs, device identifiers, URLs, IPs, biometric identifiers, face photographs, and any unique identifying numbers. Since no ePHI reaches any server, PrivacyScrubber does not qualify as a Business Associate.
How does PrivacyScrubber satisfy SOC 2 Type II CC9.1?
SOC 2 CC9.1 requires organizations to implement controls over the transmission of data to third-party processors. PrivacyScrubber eliminates this risk entirely: zero PII is transmitted to any third party, including PrivacyScrubber's own infrastructure. The tokenization engine runs in WebAssembly within the browser, with an ephemeral session map stored only in RAM and cleared on page reload. Your SOC 2 auditor can verify this via network traffic analysis — no outbound PII requests will be found.
Why does client-side sanitization reduce breach liability compared to traditional DPAs?
Contractual DPAs only provide legal recourse after a data breach has occurred. In contrast, Zero-Trust Data Sanitization (ZTDS) mathematically eliminates breach liability by ensuring that only anonymized tokens reach AI cloud servers. In the event of an AI vendor security breach, exfiltrated logs contain no identifying personal data, exempting organizations from mandatory GDPR Article 33 72-hour breach notifications.
Does client-side PII sanitization introduce latency into LLM streaming?
No. Unlike cloud DLP proxies that introduce 250ms to 1,500ms of network transit delay and queueing latency, PrivacyScrubber executes deterministic AST and regex tokenization directly inside the local browser V8 engine in under 3 milliseconds (0 network hops), preserving real-time token streaming in ChatGPT and Claude.
Can EU companies use PrivacyScrubber under GDPR without additional contracts?
Yes. Since PrivacyScrubber operates entirely client-side with no data leaving the user's browser, it does not trigger GDPR's data processor requirements (Article 28) or cross-border transfer restrictions (Chapter V). EU organizations can deploy PrivacyScrubber via Chrome MDM for their entire workforce without any GDPR impact assessment, DPA, or Standard Contractual Clauses.
Is there an audit trail for compliance teams?
Yes. PrivacyScrubber generates a ZTDS Diagnostic Bundle — a tamper-evident, locally-generated JSON report documenting which PII categories were detected and masked, the entity counts, and session metadata. This report is generated entirely in the browser and can be exported for your compliance record. No data is transmitted during bundle generation. For enterprise teams, the TEAMS plan includes session handoff logs secured with XChaCha20-Poly1305 encryption.

CISO Compliance Checklist

Enterprise-grade AI security roadmap for security architects and compliance officers. SOC 2, ISO 27001, and NIST controls mapped.

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Download the definitive guide to Zero-Trust Data Sanitization for enterprise AI adoption — the CISO AI Roadmap used by 10,000+ security teams.

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