Sanitize Student Records & Clinical Research Before AI Upload
AI Summary / Key Takeaways
"PrivacyScrubber operationalizes the ZTDS™ (Zero-Trust Data Sanitization) open standard for academic institutions and research trials. By sanitizing student records (FERPA) and participant PHI (HIPAA) locally in browser RAM, researchers can leverage LLMs for data synthesis without risking cloud data spillage or violating IRB ethics mandates."
How can university researchers analyze student records and clinical trials with AI under FERPA?
Enable academic researchers to leverage generative AI by tokenizing student educational records, student IDs, and clinical trial transcripts locally in campus browser RAM. Running 100% offline in Airplane Mode satisfies FERPA 34 CFR § 99.31 and IRB ethics mandates without cloud data exposure.
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.
Sanitized locally in volatile RAM. Pre-prompt compliance maintained under Academic & Research standards (GDPR, HIPAA, SOC 2).
Enterprise-Grade AI Privacy
Add custom redaction rules and priority support with PRO.
Verified by the Enterprise Board
Our 10-persona AI team ensures Academic compliance at every layer.
"PrivacyScrubber eliminates Shadow AI risk by intercepting PII at the edge. We've mapped this hub to SOC 2 Type II and ISO 27001 masking controls."
"Under GDPR Article 32 and HIPAA Safe Harbor, local anonymization removes the AI provider from the 'Data Processor' chain, negating complex DPA liabilities."
"A single GLBA or PCI-DSS violation costs 100x more than a site-wide license. We provide verifiable ROI through data loss prevention at the prompt level."
The Academic AI Privacy Gap
Data Persistence
Raw sensitive inputs are often stored by AI vendors for model training.
Compliance Liability
Uploading unredacted PII violates industry-specific global privacy mandates.
Shadow AI Risk
Employees using unvetted AI tools create invisible data leakage vectors.
Raw Input: Student: Emily Watson, Student ID: FERPA-99412, Email: e.watson@university.edu
Sanitized: Student: [NAME_1], Student ID: [ID_1], Email: [EMAIL_1]
Secure Academic AI Workflow
Enable high-performance AI without client data leaving your machine
Import Files
Upload documents locally into the PrivacyScrubber sandbox.
Local In-Memory Sanitization
Identify and tokenize sensitive strings entirely within browser memory.
Analyze with AI
Submit sanitized prompts to ChatGPT or Claude for processing.
Local RAM Reveal
Restore original values into the AI response locally for the final draft.
Protocol: The 5-Step Airplane Mode Audit
Don't trust us. Trust the laws of physics. Follow this audit procedure to verify zero-server PII sanitization for Academic workflows.
Load the tool: Open PrivacyScrubber.com in your browser.
Go Offline: Disconnect your WiFi or enable Airplane Mode. The site remains fully functional.
Process Data: Paste a sensitive academic document and click "Sanitize PII".
Inspect Network: Open Developer Tools (F12) and check the 'Network' tab. Verify 0 requests were made.
Verify Local RAM: All academic identifiers stay in your transient browser memory—never stored, never logged.
Academic & IRB Research Profile: Detection Coverage
IRB compliance ruleset for university researchers and translators. Anonymizes study participant identities while maintaining deterministic tokens for data analysis.
Top 6 Academic & Research Sensitive Entity Types Detected & Scrubbed
Student Record Number
Study Participant Identifier
Interviewee Real Name
Department Course Ref
Transcript Grade Score
Advisor & Researcher
Continuous Detection Engine Expansion & Custom Regex Sovereignty
The 6 entity types above represent the core detection baseline for Academic & Research. 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.
How the PrivacyScrubber Engine Solves This
Interactive Tool Controls for Academic & Research. 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.
- Engine WASM-Accelerated
- Privacy 100% Local RAM
- Security Zero-Server Leak
Local IRB Trial Data Parser
Drag and drop qualitative research interview PDFs into the Wasm File Redactor without a single byte leaving the campus network.
- Engine WASM-Accelerated
- Privacy 100% Local RAM
- Security Zero-Server Leak
Encrypted Research Handoff
Collaborate across academic departments using XChaCha20-Poly1305 session links to restore identities locally with zero server persistence.
- Engine WASM-Accelerated
- Privacy 100% Local RAM
- Security Zero-Server Leak
Academic Technical Compliance Library
Deep architectural mapping of Zero-Trust Data Sanitization (ZTDS) controls to industry-specific regulatory standards.
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 Academic institutions.
Hardened Audit Standards
Satisfying strict global security and privacy frameworks.
No data persistence on untrusted infrastructure.
Privacy by design at the engineering layer.
Data masking as a core organisational control.
Federal PII minimisation and transparency controls.
Satisfies Safe Harbor de-identification requirements.
Academic & Research Compliance Library
Step-by-step redaction workflows for Academic & Research environments.
Mask PII in Clinical Trial Datasets
Ensure HIPAA compliance in academic research. Mask Patient Health Information (PHI) and PII in clinical trial datasets before AI analysis.
Research Data Anonymizer for AI Peer Review Assistance
Protect participant identities in research studies before using AI writing tools. PrivacyScrubber anonymizes participant information locally to protect unpublished work.
PhD Research AI Safety
Doctoral researchers using AI must protect participant data. Local protection prevents IRB violations. Flat-rate TEAMS pricing available.
Clinical Trial Data Anonymizer for AI Research
De-identify clinical trial participant data locally before AI-assisted analysis. Our 100% local browser engine ensures zero PHI exposure for IRB compliance.
FERPA & AI
FERPA prohibits sharing student records with third parties. Local AI protection keeps you compliant. Flat-rate TEAMS pricing available.
Secure AI Grant Writing
Use AI for grant writing without exposing preliminary research data. PrivacyScrubber anonymizes participant information locally to protect unpublished work.
Translate and Process Academic Interviews with Privacy
Researchers using AI to translate or format sensitive interview transcripts need the real names put back into the final translated document.
Student AI Privacy
Students using AI for essays and research must protect their own PII and their institution's systems with local data masking.
Teaching AI Privacy in 2026
Educators teaching AI literacy must include data privacy. A practical classroom guide on PII and AI safety for schools and universities.
Teacher AI Privacy
Teacher AI privacy: Protect student names, grades, and IDs in lesson planning with FERPA-safe local AI data masking.
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 | 15k General / 5k Verticals | UNLIMITED | UNLIMITED | UNLIMITED |
| Batch Processing & Background OCR | — | |||
| Custom Regex & Specific Redaction Rules | — | |||
| Chrome Extension Native App | — | |||
| Silent Corporate Deployment (MDM) | — | — | ||
| Policy Control Center & Enforcement | — | — | ||
| IDE MCP Server & Headless Node.js SDK | MCP Free | MCP Unlimited | MCP + Team Sync | SDK ($299/mo) & Air-Gap |
| On-Premise Source Code License | — | — | — | |
| 100% Air-Gapped Operation | — | — | — | |
| Dedicated GRC Support | — | — | — | |
| Try Free | Details | Deploy TEAMS | Enterprise Hub |
Complementary AI Privacy Hubs & Frameworks
Cross-framework zero-trust sanitization workflows and enterprise compliance architectures.
Frequently Asked Questions
Common questions about deploying zero-trust AI for Academic & Research Teams.
Does this satisfy FERPA de-identification rules?
Does this store any data on your servers?
How does the 'Airplane Mode' verification work?
Can I use this with custom internal identifiers?
Zero-Trust Sanitization Verified
Technical safeguards supporting GDPR Art. 32, HIPAA & CCPA. All PII processing occurs locally in browser RAM.
