PrivacyScrubber Enterprise —
Air-Gapped AI Privacy at Scale.
PrivacyScrubber Enterprise silently deploys to block PII leaks before they happen. Enforce strict local data masking at the browser level across ChatGPT, Claude, and Gemini, enforcing technical safe-harbor controls (GDPR Art. 32, EU AI Act Art. 50) for air-gapped sovereign clouds with zero server overhead.
Close Deals 6–8 Weeks Faster
No server means simplified Vendor Risk Assessments. No server-side data processing means minimal DPA overhead. No cloud storage means most of your security questionnaire is answered "N/A."
Zero Vendor Risk Assessment
No server infrastructure = minimized third-party risk. Your procurement team streamlines the VRA/DPA cycle, saving 6–8 weeks of back-and-forth.
Asymmetric Breach Protection
Against the $4.88M average enterprise breach cost (IBM 2024) and regulatory penalties up to €20M, an annual site license provides immediate downside risk containment with zero server infrastructure.
80% of SIG/CAIQ = "N/A"
Data encryption at rest? N/A — no data stored. Backup procedures? N/A. Sub-processor list? N/A. Architecture eliminates the question entirely.
What if an employee already pasted PII into ChatGPT?
With pre-prompt sanitization, the blast radius is zero. Even if data reaches the AI model, it contains only tokens like [NAME_1] — not real identities. Your incident response scope shrinks from months to minutes.
Why ChatGPT Enterprise & BAAs Still Leave Your Data Perimeter Exposed
Enterprise cloud agreements (BAAs and DPAs) govern contractual liability after a breach occurs. They do not stop cleartext prompts from crossing the public WAN or protect against indirect prompt injection exfiltration.
ChatGPT Enterprise / Cloud Copilots
- WAN Cleartext Ingestion: Unmasked employee prompts, patient IDs, and proprietary source code are transmitted in cleartext over the WAN to remote OpenAI/Microsoft server clusters.
- Statutory Processing Burden: Cleartext transmission legally constitutes third-party data processing, triggering mandatory Schrems II transfer assessments and annual vendor risk reviews.
- Prompt Injection Blast Radius: Untrusted repository code or external web context can coerce tool-enabled models to leak ambient tokens (e.g. CVE-2026-33032 and Codex credential leaks).
Air-Gapped Client-Side Masking
- Endpoint RAM Neutralization: Text is scrubbed locally in browser RAM before network sockets open. Upstream LLMs receive only surrogate badges like
[NAME_1]. - Zero-Subprocessor Non-Applicability (GDPR Art. 28): Zero bytes transmitted means PrivacyScrubber never qualifies as a third-party data processor under GDPR Art. 4(8) or HIPAA 45 CFR § 164.502(e).
- Zero Credential Exfiltration: Even if an LLM is hijacked by an indirect prompt injection exploit, it has zero access to real secrets because raw credentials never left the device.
0-Day Vendor Approval: Skip the 6-Week Security Questionnaire
Zero servers = Zero vendor risk. Forward this non-subprocessor & technical safe harbor memo directly to your CISO, General Counsel, or Vendor Review Board to unblock employee AI usage today.
MEMORANDUM // PRIVACY & GRC COMPLIANCE FAST-TRACK
TO: General Counsel / Chief Information Security Officer (CISO) / Procurement
FROM: Enterprise IT & Engineering Operations
SUBJECT: Fast-Track Approval for PrivacyScrubber (Zero-Trust Data Sanitization Architecture)
1. Executive Summary & Scope:
PrivacyScrubber is requested for enterprise deployment to sanitize corporate prompts and attachments before submission to third-party generative AI models (ChatGPT, Claude, Gemini). It operates as an air-gapped, client-side browser extension and local stdio MCP server.
2. Non-Subprocessor Determination & Technical Safe Harbor (GDPR Art. 28/32 & HIPAA § 164.514(b)):
• GDPR Article 4(8) & Article 28: Because PrivacyScrubber runs 100% in volatile endpoint RAM with zero external server infrastructure, PrivacyScrubber does not collect, transmit, store, or process personal data on behalf of our organization. Consequently, PrivacyScrubber does not qualify as a "Data Processor", rendering third-party Data Processing Agreements (DPAs) legally non-applicable.
• HIPAA Safe Harbor (45 CFR § 164.502(e)): Sanitization executes entirely on the covered entity's workstation prior to data egress. No protected health information (PHI) is received by PrivacyScrubber, eliminating the requirement for a Business Associate Agreement (BAA).
• EU AI Act (Article 50 Transparency & Article 10 Data Governance): Active enforcement as of August 2026 mandates strict data minimization and user transparency for generative AI deployment. In-memory source sanitization physically prevents confidential records from entering frontier model training pipelines, mitigating liability up to €15M or 3% global turnover.
• ISO/IEC 42001:2023 & NIST AI RMF Alignment: Formally aligns with ISO/IEC 42001 Artificial Intelligence Management System (AIMS) controls (Annex A.6 AI Risk Assessment, Annex A.8 Data for AI Systems) and NIST AI RMF (GOVERN 1.2, MANAGE 2.4) with formal readiness roadmap targeted for Q2 2027.
• CCPA / CPRA (§ 1798.140): Zero personal information is sold, shared, or retained across vendor servers.
3. Security Architecture & Verification Standard:
• Zero Network Egress: PII detection executes offline in local RAM. Disconnecting network connectivity (Airplane Mode) does not interrupt de-identification functionality.
• Non-Bypassable Fleet Deployment: Chrome Enterprise Managed Policies (ExtensionInstallForcelist) enforce automatic activation without employee login credentials.
• Proprietary IP & Legal Notice: Architecture protected under U.S. & International Patents Pending (Paris Convention / PCT Priority Framework; formal verification via counsel NDA).
• Static Auditing: Codebase executes entirely in open client-side JavaScript/WASM with zero remote binary execution or obfuscated server calls.
4. Recommendation:
Approve immediate deployment via Chrome Enterprise MDM under the Zero-Vendor Risk Fast-Track procurement category.
Sovereign Cloud & ZTDS Compliance
Whether you deploy on AWS Sovereign Cloud, Google Distributed Cloud (GDC) Edge, or on-premise, PrivacyScrubber keeps data strictly in user RAM. Because it operates client-side with no external API calls, it simplifies the need for custom DPAs, complex Third-Party Risk Management (TPRM) reviews, and security questionnaire delays.
Under GDPR, CCPA, and standard GRC taxonomies, PrivacyScrubber operates as a locally-executed utility. This helps compliance teams confirm that traditional SaaS DPA requirements are not applicable to the tool—speeding procurement cycles from months to a single afternoon.
EU AI Act Art. 50 Enforced
Active Since Aug 2026The European AI Office actively enforces Article 50 transparency and data governance mandates with statutory penalties up to €15M or 3% global annual turnover. Sending raw enterprise records, internal ticket IDs, or customer PII to external GPAI model providers represents an immediate regulatory infraction.
PrivacyScrubber structurally satisfies Article 50 and Annex III high-risk AI data hygiene by sanitizing tokens exclusively in local browser RAM prior to WAN transmission—guaranteeing zero cleartext data ingestion by third-party model weights.
ISO/IEC 42001:2023 Readiness Roadmap
Target: Q2 2027As enterprise procurement mandates formal AI Management System (AIMS) governance, PrivacyScrubber directly addresses ISO/IEC 42001:2023 Annex A.6 (AI Risk Assessment & Prompt Safety) and Annex A.8 (Data for AI Systems & Pre-Ingestion Sanitization).
Mapped against the NIST AI RMF 1.0 (GOVERN 1.2, MEASURE 2.6, MANAGE 2.4), our deterministic client-side engine neutralizes indirect prompt injection and agentic exfiltration (SalesBleed, ShareLeak) at step zero.
Enterprise ROI & Risk Containment
According to IBM's 2024 Cost of a Data Breach Report, the average corporate breach carries a cost of $4.88 Million. PrivacyScrubber Enterprise shields your entire corporate workforce through non-bypassable Chrome MDM policies. Preventing even a single prompt exfiltration incident or Article 50 regulatory infraction yields immediate, verifiable downside containment with zero third-party cloud exposure.
Security via "Airplane Mode"
Zero proxy walls. Zero server hops. All sanitization executes locally in endpoint RAM. If network connectivity drops to zero, the engine runs completely unaffected.
Volatile RAM Only
Identifiers exist only in tab RAM. When the tab closes, the original data vanishes mathematically.
Zero Attack Surface
No backend logs, databases, or API relays. Egress is physically impossible under standard OS network isolation.
Verifiable Payloads
Inspect every outbound packet in browser DevTools. What appears in RAM is precisely what the LLM receives.
In-Browser Zero-Egress Audit Sandbox
Test live PII tokenization across enterprise verticals and verify with your browser DevTools Network tab that zero packets leave endpoint RAM.
Airplane Mode Verification Active: Disconnect Wi-Fi or set Chrome DevTools Network to Offline, then switch presets or click Scrub in RAM. Every regex rule and token restoration runs 100% in local V8 memory with zero server calls.
Two-Tier Governance: Strict CISO Hard Lock vs. Worker Autonomy
Traditional enterprise DLP forces a painful trade-off: either block AI completely and frustrate employees, or route prompts through latency-heavy cloud proxies. PrivacyScrubber solves this with a two-tier policy engine executed 100% in local endpoint RAM.
Strict CISO Hard Lock
For high-compliance fleets (HIPAA, SOC 2, Defense), the CISO locks the master protection switch and clipboard paste interception ON. The extension displays ENFORCED BY CISO and cannot be disabled or bypassed by employees.
Additive Local Rules Overlay
Corporate policies remain immutable ( Enterprise), but managed workers can instantly add custom [LOCAL] regex rules for confidential project codenames and case IDs without waiting weeks for IT approval.
Fleet Blueprints & Receipts
Deploy policies to every managed Chrome seat via 1-click encrypted Team Blueprints or Chrome Enterprise MDM. Workers generate 1-click cryptographic PDF compliance certificates with SHA-256 session proofs of zero data egress.
Bulk & Batch Processing
Enterprise workflows involve massive datasets. Easily drop folders of CSVs, PDFs, and .docx files for high-speed local processing. Prevent bottlenecks when sanitizing legal discovery or HR archives before LLM ingestion.
Offline PDF OCR
Most OCR engines upload images to the cloud. PrivacyScrubber Enterprise uses a custom WebAssembly local OCR engine. Drag and drop scanned contracts, and extract sensitive PII strictly inside the RAM—even in Airplane Mode.
Unlimited Custom Rules
Pre-built regex only covers standard PII. The Enterprise tier allows your compliance admins to define unlimited Custom Rules using Regex—perfect for scrubbing proprietary project codenames or complex internal identification systems.
The Enterprise AI Connectivity Gap
Centralized cloud scrubbers introduce a new leak: the network path itself. ZTDS solves this by moving the trust boundary to the user's RAM.
DLP Blind Spots
Traditional HTTPS inspection is blind to the nuanced, streaming payloads of AI models. PrivacyScrubber intercepts the DOM event before the browser even opens the socket.
Contractual AI Waivers
Most AI TOS waive IP ownership if data contains unprotected PII. By sanitizing locally, your data remains "proprietary IP" throughout the model's inference loop.
Audit-Grade Traceability
Unlike "ghost" tools, Enterprise delivers verifiable proof of redaction. We generate cryptographically signed "Clean Bills of Health" for internal compliance audits.
Hardened ZTDS Architecture
Enterprise environments require more than just "best efforts." Our architecture is built for strict verification.
- Static Analysis Ready: No remote script execution. No dynamic imports. Your security team can audit the exact payload running on employee machines.
- Air-Gap Verification: Functional proof that zero packets leave the user's terminal during high-risk prompt generation.
- Volatile Session Handoff: Original PII stays in ephemeral local state, cleared automatically on tab closure.
- NPM SDK Integration: Complete offline access to the core processing engine via a private NPM package for your Node.js CI/CD workflows.
ZTDS™ vs The Alternatives: CISO Battle Matrix
Why Fortune 500 security architects and enterprise risk committees deploy client-side Zero-Trust Data Sanitization instead of middleman cloud proxies or relying solely on contractual cloud BAA promises.
Pre-Emptive Answers for Infosec & Risk Committees
Direct technical answers addressing the four most common questions raised during vendor security evaluations.
Why deterministic rules instead of cloud NER (Presidio/BERT)?
Sending sensitive documents to an external Named Entity Recognition (NER) model introduces the exact cloud leakage problem that sanitization is meant to prevent. ZTDS™ deploys deterministic local pattern rules and 30 specialized industry vocabularies locally in RAM.
How is browser RAM protected from local memory extraction?
PrivacyScrubber operates under strict Content Security Policy (script-src 'self') with zero external script tags or analytics trackers. The local ZTDS™ token dictionary is strictly tab-isolated, never stored in persistent browser storage, cookies, or disk, and instantly purged from heap memory upon tab closure or reload.
What happens if the LLM hallucinates or alters synthetic tokens?
Generative AI models occasionally alter whitespace or case ([NAME 1] instead of [NAME_1]). PrivacyScrubber’s patent-pending reverse engine incorporates deterministic multi-format token restoration that resolves case variations, markdown syntax shifts, and spacing discrepancies locally in RAM.
How does the CISO audit compliance if no data goes to external servers?
Zero server processing does not mean zero auditability. PrivacyScrubber generates cryptographically verifiable CISO Audit Receipts (SHA-256 integrity hash, triggered compliance frameworks, timestamp, entity counts) directly on the client. For enterprise pipelines, telemetry streams locally into internal Splunk or Datadog instances via our Node.js SDK and MCP server.
Enterprise Governance: Local Policies, Zero Server Calls
We don't overpromise cloud integrations that break our Zero-Trust strictures. PrivacyScrubber Enterprise relies entirely on hardened, offline logic managed via your existing Mobile Device Management (MDM) infrastructure.
- Silent MDM Push (Deployment)
What we deliver: Zero-touch deployment via Chrome Enterprise Managed Policies (
ExtensionInstallForcelist). Extensions arrive on employee devices pre-configured with your organization's unique ZTDS profiles and custom regex rules.Problem solved: Eliminates the need for end-user training or voluntary installations across 100+ employees. You achieve instant, frictionless corporate-wide coverage without lifting a finger.
- MDM-Locked Profiles (Governance)
What we deliver: Policy-enforced extension lockdowns using
ExtensionSettings. The scrubber sits persistently on corporate-managed domains (ChatGPT, Claude, Gemini) and cannot be bypassed, paused, or uninstalled by the user.Problem solved: Neutralizes "Shadow AI" risk. When strict compliance is mathematically enforced via MDM, employees can't temporarily disable the scrubber to quickly finish a task, ensuring DLP policies are unbreakable.
- Zero-PII SIEM Streaming & Local Audit (Telemetry)
What we deliver: Stream zero-PII sanitization heartbeats directly into your corporate SIEM (Splunk, Datadog, Microsoft Sentinel) or Slack security channels in real-time, coupled with cryptographically verified offline PDF audit receipts containing signed SHA-256 session digests.
Problem solved: SecOps gains instant, centralized fleet-wide visibility into Shadow AI activity and regulatory controls (EU AI Act, SOC 2 CC6.1, ISO 27001 A.8.11) without ever exfiltrating raw employee prompts or storing PII in an external cloud.
Copy-Paste MDM Configuration Snippets
Select your enterprise device management platform to copy the exact configuration payload.
{
"ExtensionSettings": {
"pimoejgefeilajmmbpghifdmhdlkgjol": {
"installation_mode": "force_installed",
"update_url": "https://clients2.google.com/service/update2/crx",
"runtime_allowed_hosts": ["https://chatgpt.com/*", "https://claude.ai/*", "https://gemini.google.com/*"],
"blocked_permissions": ["management"],
"toolbar_pin": "force_pinned"
}
},
"ExtensionInstallForcelist": [
"pimoejgefeilajmmbpghifdmhdlkgjol;https://clients2.google.com/service/update2/crx"
]
} <!-- Microsoft Intune OMA-URI Settings Catalog Policy --> <OMA-URI>./Device/Vendor/MSFT/Policy/Config/Chrome~Policy~googlechrome~Extensions/ExtensionInstallForcelist</OMA-URI> <Data Value> <enabled/> <data id="ExtensionInstallForcelistDesc" value="1pimoejgefeilajmmbpghifdmhdlkgjol;https://clients2.google.com/service/update2/crx"/> </Data Value>
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>ExtensionInstallForcelist</key>
<array>
<string>pimoejgefeilajmmbpghifdmhdlkgjol;https://clients2.google.com/service/update2/crx</string>
</array>
</dict>
</plist> Business Cases: What Happens in the Browser, Stays in the Browser
Discover how PrivacyScrubber’s local encryption technology resolves the challenges of secure collaboration with generative AI without transmitting sensitive data to third-party servers.
Secure Prompt Handoff
Scenario: An engineer or analyst prepares a complex AI prompt containing trade secrets or personal data. The extension automatically masks the data locally before submission.
Solution: Instead of sending raw text, the employee generates an encrypted handoff link in one click. A colleague imports it to continue the AI conversation. Only shared-key holders can view the data—not a single byte of PII leaves local devices.
Cross-Team Incident Response & Log Analysis
Scenario: The InfoSec or DevOps team uses AI to analyze log files containing critical IP addresses, access keys, or vulnerability hashes.
Solution: The security team shares a cryptographically locked .pssession file via secure channels. The support team imports it to reveal the original variables locally in the AI responses, removing the risk of leaks to public LLM models.
Local GRC & Compliance Auditing
Scenario: A Data Protection Officer (DPO) or external GRC auditor reviews business department AI interactions (HR, accounting) for GDPR or HIPAA compliance.
Solution: All encryption keys remain stored solely on the end-user devices, removing database hacking risks. Audit trails are encrypted locally, allowing authorized compliance teams to safely detokenize logs during verification audits.
Questions Your Procurement Team Will Ask
Real answers. No runaround. We respect your time and your security standards.
Do you support enterprise invoicing or purchase orders?
Yes. We support direct corporate invoicing with Net 30/60 terms, wire transfers (SWIFT, SEPA, ACH), Paddle B2B corporate checkout with VAT reverse-charge, and formal purchase orders (PO).
Upon activation, your team receives a centralized Master License Key and deployment blueprint that can be embedded directly into your MDM policy for instant fleet-wide rollout without individual employee logins. One key. Full coverage.
How do we roll this out to 500+ employees without a new admin tool?
You use the infrastructure you already have. PrivacyScrubber deploys silently via Chrome Enterprise Managed Policies — Google Workspace, Microsoft Intune, or Jamf all work out of the box.
Your IT team adds the extension ID to ExtensionInstallForcelist, embeds the Master Key, and every managed device activates automatically — without a single employee having to click anything. Typical enterprise rollout time: under 2 hours.
What compliance documentation can you provide for our GRC review?
We provide a CISO Security Blueprint (15-page ZTDS whitepaper), a SOC 2 architecture memo, and our GDPR/HIPAA data-processing statement — all available instantly when you request a proposal below.
Here's what makes your GRC review unusually straightforward: because PrivacyScrubber processes zero data on any server, PrivacyScrubber introduces zero external subprocessors under GDPR Article 28, eliminating cloud data-retention surface area to audit. The tool is architecturally incapable of holding your data. That's a compliance advantage most vendors can't offer.
Our AppSec team needs to inspect the code. Is that possible?
Not only possible — we actively encourage it. PrivacyScrubber is built entirely in client-side JavaScript and WebAssembly. There are no compiled server-side binaries, no hidden network calls, and no dynamic remote imports.
Your security engineers can inspect every line of code that executes on employee machines directly in Chrome DevTools. What they see is exactly what runs. We've designed the codebase this way precisely so that enterprise security teams can verify our zero-trust claims without taking anyone's word for it.
How does PrivacyScrubber support ISO/IEC 42001:2023 and EU AI Act Article 50 compliance?
PrivacyScrubber aligns with ISO/IEC 42001:2023 controls for AI data quality and governance (Annex A.8) and satisfies EU AI Act Article 50 transparency and data minimization requirements. With active enforcement of Article 50 as of August 2026, PrivacyScrubber intercepts and redacts sensitive PII and confidential enterprise credentials in client RAM prior to model ingestion, eliminating external subprocessor risk and ensuring audit readiness with a formal ISO 42001 readiness roadmap targeted for Q2 2027.
How does PrivacyScrubber defend against agentic data exfiltration like SalesBleed?
Recent indirect prompt injection attacks against enterprise AI agents (such as Salesforce Agentforce SalesBleed, Manus AI, and Microsoft Copilot Studio ShareLeak) exploit untrusted business records loaded as prompt instructions. PrivacyScrubber acts as an in-memory pre-prompt firewall: before an AI agent or LLM ingest context, sensitive customer records, API tokens, and employee identities are deterministically replaced with volatile surrogate tokens. Attackers exploiting injected instructions exfiltrate only dummy tokens, while real cleartext data never leaves the host client.
Enterprise Contract Deliverables & Licensing
Four core technical and operational commitments included with every enterprise license agreement.
On-Prem Source License
Full access to unminified source code for internal AppSec audits, private self-hosted registries, and air-gapped sovereign cloud builds.
Silent MDM Push
Zero-touch rollout via Google Workspace, Intune, or Jamf with non-bypassable enterprise policy locks ( ENFORCED BY CISO).
Private SDK & MCP
Headless client-side sanitization libraries for internal Node.js pipelines, private RAG databases, and local stdio MCP servers for Cursor & Claude Desktop.
Net 30/60 Invoicing
Corporate invoicing with Purchase Order (PO) support, ACH/SEPA/SWIFT bank wire transfers, and pre-filled answers for SIG/CAIQ security questionnaires.
Hardening the AI Perimeter
PrivacyScrubber Enterprise is tailored for large-scale corporate fleets requiring Silent MDM Fleet Push (Google Workspace, Microsoft Intune, Jamf Pro), Air-Gapped Sovereign Cloud isolation, and On-Premise Source Code Escrow.
Every enterprise engagement includes dedicated onboarding, corporate Net 30/60 invoicing, custom vendor security review (SIG/CAIQ), and tailored SLA guarantees. Request a custom proposal to receive your CISO Security Blueprint.
Request Custom Proposal
Receive your CISO Blueprint via email alongside a custom quote.
Engineered by BrandMeWeb Agency
PrivacyScrubber's Zero-Server Client-Side ZTDS engine, WebAssembly sandbox, and 730+ static route Generative Engine Optimization (GEO) architecture were designed and engineered by BrandMeWeb. As an agency specializing in high-performance web engineering, technical SEO, and enterprise AI data protection, BrandMeWeb builds production-grade digital infrastructure with zero-server overhead, sub-millisecond memory latency, and strict zero-data-egress compliance.
