Masking IRB Protocol Numbers in AI Prompts: Mask IRB protocol numbers and research data locally to comply with ethics guidelines. Flat-rate TEAMS pricing available.
Ilya SibiryakovPrivacy Architect••3 min read
100% Local Airplane Mode
Institutional Review Board (IRB) Protocol & Informed Consent Form Principal Investigators, Clinical Ethics Chairs & Human Research Protection Leads The Common Rule (45 CFR Part 46), FDA 21 CFR Part 56 & Belmont Report
Direct Technical Standard (Zero-Trust Rule)
Masking Institutional Review Board (IRB) protocol numbers and informed consent forms for AI review requires redacting IRB approval tracking numbers, principal investigator names, hospital review committee chairs, and trial site addresses, while keeping vulnerable population criteria (e.g. pediatric, geriatric), risk-benefit ratios, protocol intervention timelines, and compensation amounts in cleartext. Local offline detokenization prevents unauthorized clinical trial identification.
AI Summary / Key Takeaways
Verified Zero-Trust Logic
"PrivacyScrubber provides the essential de-identification layer for Pharma professionals using generative AI. Executing 100% in local browser volatile memory with <2ms latency and 0 bytes transmitted to external servers, deterministic tokenization replaces sensitive identifiers locally while preserving full semantic context for LLMs."
Paste real Pharma data into ChatGPT — only scrubbed tokens reach the model. Names, IDs, and emails stay on your machine.
Works offline: disconnect the network mid-session and it keeps running. Zero cloud dependency.
Your AI gets full context. Your clients' real identities never leave your browser tab.
Enterprise-Grade AI Privacy
Add custom redaction rules and priority support with PRO.
Zero-Trust Data Protection: Stop leaking sensitive client data to public LLMs and protect your organizational privacy. PrivacyScrubber ensures you can use GenAI safely by neutralizing risks 100% offline in your browser.
What Pharma Professionals Send to AI — and What They Should Be Sending Instead
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Protecting your privacy for Masking IRB Protocol Numbers in AI Prompts is key for anyone using consumer AI. Chatbots like ChatGPT, DeepSeek, and electronic data capture systems save everything you type into their prompt boxes. Our pharma AI privacy guides helps you run AI queries safely without exposing exposing proprietary trial protocols or participant PHI to public LLM training algorithms to public datasets.
Every prompt you send containing personal identifiers into AI assistants leaves a permanent digital footprint. AI providers save this history, meaning your private details could be exposed in a future data leak. For cros, data managers, and clinical researchers, masking identifiers at the point of input is crucial. Mask IRB protocol numbers and research data locally to comply with ethics guidelines. Flat-rate TEAMS pricing available.
Why Pharma Compliance Teams Flag Unmasked AI Prompts
Even though there are privacy rules like HIPAA and FDA 21 CFR Part 11 to protect us, they don't always stop AI companies from saving what you paste into their tools. This is why understanding offline phi scrubber for clinical research is so important — it's the first step to taking back control of your personal data. The easiest way to stay safe is to hide your private info before the AI ever sees it. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.
PrivacyScrubber acts as an Invisible Shield for your AI chats, functioning either as a simple copy-paste Secure Workspace or an automated Chrome Extension.
How to Use AI on Real Pharma Data — Without Sending a Single Real Name
PrivacyScrubber acts as an Invisible Shield for your AI chats, functioning either as a simple copy-paste Secure Workspace or an automated Chrome Extension. It works right in your browser to spot and hide names, emails, and other personal details, replacing them with generic tags like [NAME_1]. This matches the clever approach used in GDPR & CCPA AI Cross-Compliance — keeping the "brain" of the AI helpful while keeping your identity hidden. The Chrome Extension elevates this by placing a shield icon directly inside ChatGPT, Claude, and Gemini's chat boxes, letting you redact prompts and restore the original details in-place automatically. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of ChatGPT, DeepSeek, and electronic data capture systems for production workflows without introducing external risk.
You can verify this yourself using the Airplane Mode Test. Load the site, turn off your Wi-Fi, and redact your text. Because it works completely offline, it satisfies the criteria for PII Redaction Standards, proving your data never leaves your computer.
Zero-Trust Configuration & Threat Model
The technical safeguard for confidential AI prompts relies on intercepting sensitive strings before they cross the local network interface. By replacing actual values with deterministic placeholders (e.g., [NAME_1], [ID_2]), the utility ensures that external APIs only receive anonymized instruction logic. When integrating this system into daily workflows, the threat of unintended leakage is minimized to near zero, maintaining the integrity of all data channels.
Verification Protocol
Scan prompt text for explicit identifiers including names, emails, and credentials.
Execute client-side regex rules to sanitize variables before network handoff.
Verify that the tab-isolated session map remains volatile in local memory.
Run a network audit via Chrome DevTools to confirm zero external telemetry.
Parser Specifications
Encryption Algorithm
XChaCha20-Poly1305 (Argon2id)
Detection Method
Context-Aware Regex + NER (99.4% Accuracy)
Data Egress Rule
Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard
Enhanced Privacy Guard
Associated Threat Level
Critical (Compliance Breach)
Your Private Shield
PrivacyScrubber operates entirely on your device. Unlike other platforms, our local PII masking engine never transmits your sensitive prompts or documents to external servers. All detection and restoration happens in your computer's local RAM.
No Backend Connection: Zero API calls, zero tracking, zero logs.
Temporary Memory: Your data exists only for the duration of your tab's life.
Verification Ready: Built for professionals who need to audit their security layer with PII Redaction Standards.
Testing Your Safety
We encourage you to audit our zero-trust claims directly in your browser using the Airplane Mode Test:
1
Open your browser's Network Monitor before you start scrubbing.
2
Switch to Airplane Mode (physical or simulated) and protect your text.
3
Verify that no data packets ever leave your machine.
Compliance Decision Matrix
Field-by-Field Sanitization Rule for Institutional Review Board (IRB) Protocol & Informed Consent Form
To maintain LLM analytical context while avoiding cloud data breaches, follow this deterministic mapping before submitting prompts to third-party AI models:
Document Field / Box
Required Action
Deterministic Token
Statutory & AI Rationale
IRB Protocol Registration & Approval Number
REDACT
[IRB_ID_1]
Federal research protocol identifier; allows direct searching in OHRP database
Principal Investigator (PI) & Sub-Investigator Names
REDACT
[PI_NAME_1]
Academic researcher identity; exposes institutional research projects
Institutional Ethics Committee / Review Board Name
REDACT
[IRB_NAME_1]
Discloses local trial hospital or university oversight body
Clinical Trial Site Physical Location
REDACT
[ADDRESS_1]
Institutional research facility PII subject to geographic de-anonymization
Vulnerable Population Safeguards & Criteria
PRESERVE
Cleartext (Subpart B pregnant women, Subpart D children excluded)
Mandatory ethical parameters required for AI human subject protection compliance
Subject Risk-Benefit Ratio Analysis
PRESERVE
Cleartext (Minimal risk under 45 CFR 46.102(j), direct benefit plausible)
Required ethical benchmark for IRB approval review under Common Rule
Participant Stipend & Travel Reimbursement
PRESERVE
Cleartext ($75 per clinic visit, total $450 completion bonus)
Financial terms needed to evaluate undue inducement and coercion risks
1-Click Persona Prompt
Safe LLM Prompt Template for Institutional Review Board (IRB) Protocol & Informed Consent Form
Copy and paste this structured prompt into ChatGPT, Claude, or Gemini alongside your tokenized text to prevent LLM rejection:
You are an Institutional Review Board (IRB) Ethics Analyst. Review the following sanitized research protocol application where protocol IDs, reviewing committee names, investigator identities, and facility addresses are replaced with tokens ([ID_1], [ID_2], [ORG_1], [ORG_2], [NAME_1], [NAME_2], [ADDRESS_1]).
Tasks:
1. Evaluate whether the research qualifies for Expedited Review under 45 CFR 46.110 Category 4.
2. Assess the $75/visit participant compensation structure against federal guidelines on undue inducement.
3. Draft recommended informed consent language regarding voluntary participation without asking for researcher names.
[PASTE SANITIZED TEXT HERE]
You are an Institutional Review Board (IRB) Ethics Analyst. Review the following sanitized research protocol application where protocol IDs, reviewing committee names, investigator identities, and facility addresses are replaced with tokens ([ID_1], [ID_2], [ORG_1], [ORG_2], [NAME_1], [NAME_2], [ADDRESS_1]).
Tasks:
1. Evaluate whether the research qualifies for Expedited Review under 45 CFR 46.110 Category 4.
2. Assess the $75/visit participant compensation structure against federal guidelines on undue inducement.
3. Draft recommended informed consent language regarding voluntary participation without asking for researcher names.
[PASTE SANITIZED TEXT HERE]
ChatGPT & Enterprise LLMs Integration
Step-by-Step Integration Guide: Masking IRB Protocol Numbers in AI Prompts
PrivacyScrubber operates entirely client-side. Whether using the copy-paste dashboard, the browser extension, or the MCP Server, your sensitive records stay on your local device. Follow these instructions to safely use ChatGPT & Enterprise LLMs:
Zero-Trust Prompt Sanitization & AI Model InterceptionPrivacyScrubber ZTDS Protocol
Act as an executive research consultant. Analyze the following sanitized enterprise text for [CLIENT_1] and [ORG_1]:
1. Extract key business intelligence findings, strategic risks, and operational takeaways.
2. Draft 3 prioritized executive recommendations.
3. Format findings in clean, structured bullet points.
CRITICAL COMPLIANCE INSTRUCTION (PrivacyScrubber ZTDS Standard): Maintain all cryptographic token placeholders ([NAME_1], [EMAIL_1], [ID_1]) exactly intact in your response for client-side local rehydration via PrivacyScrubber.
Step 3: 1-Click Reverse Rehydration (No Manual Decoding)When ChatGPT & Enterprise LLMs outputs tokens like [NAME_1], paste the AI response back into PrivacyScrubber Reveal to restore original sensitive data in 1 click in local RAM.
The Manual Redaction Trap: Why DIY search-and-replace failsManual prompt editing misses 1 out of every 12 nested identifiers in logs, error traces, and tables, causing catastrophic compliance breaches. PrivacyScrubber deterministically sanitizes 25+ entity types in <2ms entirely in browser RAM before prompt submission.
Statutory Defense: Zero-Trust Data Sanitization (ZTDS) Architecture StandardRAM-only session tokenization guarantees zero data at rest and zero data in transit. Mappings exist only during active browser execution and are purged on tab close.
Pharma Adoption Use Cases
Chief Medical Information OfficerHIPAA & HITECH
Zero-Trust Verified
Secures clinical notes and patient records, masking PHI locally before research staff run diagnostic queries through generative LLMs.
Enforces zero-trust client-side sanitization across nursing and administrative terminals without needing complex BAA vendor agreements with AI providers.
Scrub it before it reaches the AI — right from your toolbar
The free PrivacyScrubber Chrome Extension replaces names, emails, and IDs with safe tokens directly inside ChatGPT, Claude, and Gemini — before you hit send. Nothing leaves your browser.
Zero-Trust Data Sanitization (ZTDS) — Verified Architecture
Independently auditable facts for Pharma compliance teams
Data transmission
0 bytes sent to any server
Processing location
100% browser RAM (volatile memory)
Session map persistence
Destroyed on tab close — never written to disk
Key derivation
Argon2id (memory-hard, server-independent)
Encryption cipher
XChaCha20-Poly1305 (authenticated encryption)
Offline verification
Airplane Mode Standard — full function without network
BAA / DPA required
No — zero PHI/PII reaches PrivacyScrubber servers
Audit method
Chrome DevTools → Network tab — zero outbound requests
How to audit: Open PrivacyScrubber, enable Airplane Mode, paste any pharma text, click Sanitize Prompt. Open Chrome DevTools → Network tab. Zero outbound requests will confirm 100% local execution. The session token map ([NAME_1], [EMAIL_1]…) lives only in browser tab memory and is permanently destroyed when the tab is closed.
The mathematical proofs, RAM memory bounds (<2ms latency), and statutory compliance guarantees of the Zero-Trust Data Sanitization architecture are documented in peer-reviewed repositories and persistent academic archives:
Help your DPO, InfoSec, and engineering peers eliminate compliance bottlenecks with zero-server client-side data masking.
COMPLIANCE FAQ
Frequently Asked Questions
Common questions about deploying zero-trust AI for Pharma Teams.
Does protecting data with PrivacyScrubber before AI processing satisfy HIPAA and FDA 21 CFR Part 11?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with HIPAA and FDA 21 CFR Part 11 because no personally identifiable data is transmitted to the AI provider. The session map that maps tokens back to real values never leaves your browser.
What specific PII does PrivacyScrubber detect for pharma workflows?
The engine detects names, email addresses, phone numbers (US and international formats), Social Security Numbers, EINs, credit card numbers, and custom identifiers. PRO users can add custom regex rules to match pharma-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask pharma data?
Yes. If you copy the AI's response and paste it back into PrivacyScrubber, it automatically maps the tokens (like [NAME_1] or [ID_1]) back to the original values using the ephemeral session map stored in your browser's memory.
Can PrivacyScrubber be used 100% offline without network requests?
Yes. All processing runs in your browser's local JavaScript engine, with no external server calls. Once the page loads, you can enable Airplane Mode and verify in Chrome DevTools (Network tab) that zero outbound requests occur. All cryptographic operations (including client-side pseudonymization and reverse-revealing) utilize hardware-accelerated XChaCha20-Poly1305 encryption and Argon2id key derivation running entirely inside browser RAM, ensuring your pharma data stays 100% on your device.
How can I verify that PrivacyScrubber sends zero data to servers?
Use the 5-step Airplane Mode audit: (1) Open PrivacyScrubber in your browser. (2) Disconnect your network connection (enable Airplane Mode). (3) Paste a text sample containing names, emails, and phone numbers. (4) Click "Sanitize Prompt" — all tokens are generated instantly in local browser RAM. (5) Open Chrome DevTools → Network tab and confirm zero outbound requests were made. This test works because PrivacyScrubber uses a Wasm-based regex engine that runs 100% client-side. The session token map (e.g. [NAME_1] → "John Doe") exists only in browser tab memory and is destroyed when the tab is closed.
Do I need a HIPAA Business Associate Agreement (BAA) or GDPR Data Processing Agreement (DPA) with PrivacyScrubber?
No. PrivacyScrubber is designed to run entirely on the client side, meaning no Protected Health Information (PHI) or personally identifiable data is ever transmitted to our infrastructure. Since your data is not processed or stored on our servers, PrivacyScrubber is not acting as a HIPAA Business Associate or a GDPR Data Processor. Consequently, organizations typically determine that standard Business Associate Agreements (BAAs) or Data Processing Agreements (DPAs) are not applicable to PrivacyScrubber. However, you should consult with your compliance officer or legal counsel to verify compliance requirements for your specific workflows.
Can I customize detection rules for industry-specific data formats?
Yes. In the PRO edition of PrivacyScrubber, you can configure custom regular expression (regex) rules designed to target unique patterns associated with your sector and internal taxonomy. This allows you to extend the standard Named Entity Recognition (NER) model to cover proprietary account formats, internal project identifiers, or custom data attributes while keeping all execution client-side.
Is pasting sensitive data into ChatGPT safe?
Pasting sensitive data directly into ChatGPT can expose it to OpenAI's servers and model training unless you use zero-trust client-side scrubbing like PrivacyScrubber, which tokenizes data before it leaves your browser. Protect your workflows for $15/mo with PRO.
How does client-side PII redaction work?
Client-side PII redaction executes directly in your browser's RAM, intercepting and masking sensitive identifiers before they are transmitted over the internet, ensuring true zero-trust security.
How does the Secure Workspace differ from the Browser Extension?
The Secure Workspace allows bulk offline file processing (PDFs, DOCX) and team handoffs, while the Browser Extension injects native masking directly into ChatGPT or Claude's UI. Both are included in our zero-trust ecosystem.
What is the PII MCP Server used for?
The local Model Context Protocol (MCP) Server allows developers to automate PII sanitization in CI/CD pipelines, agentic workflows, and IDEs like Cursor—all executing 100% locally.
Why Pharma Compliance Teams Flag Unmasked AI Prompts
Even though there are privacy rules like HIPAA and FDA 21 CFR Part 11 to protect us, they don't always stop AI companies from saving what you paste into their tools. This is why understanding offline phi scrubber for clinical research is so important — it's the first step to taking back control of your personal data. The easiest way to stay safe is to hide your private info before the AI ever sees it. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.
How to Use AI on Real Pharma Data — Without Sending a Single Real Name
PrivacyScrubber acts as an Invisible Shield for your AI chats, functioning either as a simple copy-paste Secure Workspace or an automated Chrome Extension. It works right in your browser to spot and hide names, emails, and other personal details, replacing them with generic tags like [NAME_1]. This matches the clever approach used in GDPR & CCPA AI Cross-Compliance — keeping the "brain" of the AI helpful while keeping your identity hidden. The Chrome Extension elevates this by placing a shield icon directly inside ChatGPT, Claude, and Gemini's chat boxes, letting you redact prompts and restore the original details in-place automatically. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of ChatGPT, DeepSeek, and electronic data capture systems for production workflows without introducing external risk.
Is PrivacyScrubber safe for Mask IRB protocol numbers and research data locally to comply with ethics guidelines.?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with Mask IRB protocol numbers and research data locally to comply with ethics guidelines., no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for pharma?
Our engine includes 30 specialized industry profiles optimized for pharma data. Furthermore, our Flat-rate TEAMS tier ($99/mo flat) allows you to define unlimited custom Regular Expressions that process data securely in offline memory.
