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.

Zero-Trust AI for Educational Institutions.

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"PrivacyScrubber provides a local, de-identification shield for K-12 and higher-education institutions, enabling teachers, administrators, and researchers to use AI tools while ensuring student records remain protected under FERPA."

Zero-Server Airplane Mode No Server Logs

ZTDS EDUCATION GATEWAY ACTIVE

0 Bytes Server Egress

<1.8ms

RAM Latency

0 Bytes

Cloud Egress

25+

PII Profiles

In-DOM Education AI Firewall: Automatically intercepts prompts in ChatGPT, Claude, Gemini & Copilot.

Cryptographic Audit Receipts: Argon2id + XChaCha20-Poly1305 signed proof for ISO 27001 A.8.11 & SOC 2 CC6.1.

Air-Gapped Operation: 100% functional with network disconnected (Airplane Mode verified).

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: Education

Raw Input Payload

0 chars

RAM-Only Isolated Session

Automated Detection Classes:

STUDENT_NAME STUDENT_ID GRADE SCHOOL_NAME Email Addresses

Open in Full Workspace

FERPA-aligned local PII masking of student records.

Deployable via school district Chrome Enterprise policies.

Zero external server routing ensures student data privacy.

Offline PDF/DOCX sanitization for student assignments.

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).

"Educational institutions must protect student privacy under FERPA and local state regulations. While AI tools offer immense benefits for lesson planning, grading support, and academic research, they also risk exposing protected student details. PrivacyScrubber allows districts and universities to safely adopt GenAI by sanitizing all inputs inside the employee's browser, preventing compliance infractions. Powered by a Zero-Trust Data Sanitization (ZTDS) architecture, our engine operates 100% in local browser RAM using WebAssembly (WASM), delivering 0ms network latency. Sessions are cryptographically sealed with XChaCha20-Poly1305, ensuring enterprise-grade isolation without per-user licensing fees ($$15/mo PRO, $$99/mo TEAMS)."

Strategy Insight for Education Leadership

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

The core challenge for Education 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 academic record security preserves the semantic structure of your prompts locally, ensuring that AI reasoning remains accurate while personally identifiable information (PII) is deterministically masked.

Education Critical Compliance Vulnerabilities

Pasting student grades, behavior reports, or IEP data into ChatGPT violates federal student privacy mandates.

Institutional DPAs with AI providers are slow to negotiate and complex for individual departments to monitor.

ZTDS intercepts and masks student identifiers locally, ensuring educational records never leave the local machine.

Traditional cloud DLP APIs add dangerous network latency and violate data sovereignty by transmitting PII off-device.

Lack of WASM-based local memory processing exposes workflows to cross-tab state leakage and intercept attacks.

Education Vector Analysis & Risk Scenarios

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

Advanced Threat Modeling

Education Input Neutralization

"Education workflows require strict de-identification of student records and academic grades. PrivacyScrubber ensures no student PII is transmitted to LLM servers."

# ferpa_ai_privacy # student_record_anonymizer # education_chatgpt_compliance # campus_data_security

Immediate Protection

Instantly mask Education 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 Education records never leave your control.

Hardware-Verified Sovereignty

Solving Education Challenges with Enterprise Governance

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

CISO / Compliance

In the Education 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 education records are never exfiltrated to external LLM servers, instantly satisfying compliance and governance audits.

Operations Lead

Education 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 education 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 Education 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 Education 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 Education. 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 Education. Hover for specs.

In-DOM FERPA Prompt Masking

The Browser Extension intercepts student names, IDs, and transcripts directly in ChatGPT/Claude with <3ms local RAM sanitization.

Technical Audit Data

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

Local Student Record Redactor

Drop student transcripts, IEPs, and disciplinary records into the Wasm File Engine for 100% offline redaction.

Technical Audit Data

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

Institutional FERPA Protection

Safeguard school and university federal funding by ensuring student educational records never enter AI training sets.

Technical Audit Data

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

Education Compliance Library

Step-by-step redaction workflows for Education environments.

View all guides →

education

FERPA and ChatGPT

Learn how K-12 school districts and universities can use ChatGPT and Claude safely. Maintain FERPA compliance through client-side PII sanitization.

education

FERPA Compliant ChatGPT Workflows

Enable educators and administrators to use ChatGPT while remaining fully compliant with FERPA. Learn how local redaction protects student records.

education

Protecting Student PII from AI Ingestion

Stop public AI models from training on sensitive student data. Implement zero-server masking to secure university and K-12 AI initiatives.

education

University Research Data Anonymization for AI

Securely analyze qualitative research and interview transcripts with AI. Learn how universities use local tokenization for IRB compliance.

education

Higher Education AI Data Governance

Implement comprehensive AI data governance in higher education to protect student records, faculty research, and university IP from generative AI leaks.

education

K-12 AI Acceptable Use Policy

Develop a K-12 AI Acceptable Use Policy that protects minors' data, ensures COPPA/FERPA compliance, and enables safe generative AI in the classroom.

education

Writing IEPs with ChatGPT Safely

Learn how special education teachers can safely write Individualized Education Programs (IEPs) using ChatGPT by utilizing zero-trust PII sanitization.

education

Protecting Student Mental Health Data in AI

Ensure school counselors and psychologists protect sensitive student mental health data when using generative AI tools for case notes and reports.

education

Alumni and Donor Database AI Screening

Safely utilize AI for university alumni and donor database screening by masking financial PII locally with zero-trust data sanitization.

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

Education Technical Compliance Library

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

Regulatory Standard

Technical Control

Auditable Evidence

FERPA

Control 34 CFR §99.31

Audit Local-only de-identification of student education records; zero cloud transmission of PII.

COPPA

Control 16 CFR Part 312

Audit Prevents unauthorized collection of child PII when using generative AI tools.

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 Education institutions.

Compliance FAQ

Frequently Asked Questions

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

How does PrivacyScrubber help teachers use ChatGPT safely?

Teachers can paste lesson notes, grading rubrics, or student progress observations into ChatGPT. PrivacyScrubber automatically tokenizes student names and school identifiers in browser memory before they hit the server.

Is a BAA or data processing agreement required for schools?

Because PrivacyScrubber processes all data client-side and never transmits or stores inputs on external servers, it is classified as a local utility rather than a data processor. No DPA or complex vendor risk assessment is needed.

How does 1-click Reveal work?

When the AI tool generates its response containing tokens (like [NAME_1] or [ID_1]), paste the response back into PrivacyScrubber and click 'Reveal'. The engine instantly restores all original values locally from volatile RAM.

Zero-Trust Sanitization Verified

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

Start Protecting Data