Does PrivacyScrubber send my data anywhere?

No. All detection and masking happens locally in your browser's memory. You can verify this yourself by opening your browser's Network tab or disconnecting from the internet — the tool keeps working.

What AI tools does it work with?

ChatGPT, Claude, Gemini, Copilot, Grok, Llama, Perplexity, Mistral, and Hugging Face Chat. The browser extension adds in-page masking directly inside each of these.

Is the free version good enough for regular use?

The free tier covers core PII types (names, emails, phone numbers) up to 15,000 characters per scrub, with a 3-page PDF limit. Batch processing, OCR, and industry-specific detection profiles (legal, medical, finance, etc.) require PRO.

Does this satisfy HIPAA, GDPR, or SOC 2 requirements?

PrivacyScrubber is designed to support de-identification under HIPAA Safe Harbor, GDPR Article 25/32, and SOC 2 CC6-series controls by removing identifiers before data reaches a third-party AI tool. It is a technical control, not a substitute for a full compliance program — check with your compliance team on whether it fully satisfies your specific obligations.

Can I get my original data back after the AI responds?

Yes. Paste the AI's response back into the tool and click "Reveal" — it swaps the tokens back to your real data locally, with no server round-trip.

Is PrivacyScrubber a local or cloud PII scrubber?

PrivacyScrubber is a 100% local, browser-based PII scrubber. Unlike cloud DLP solutions, it performs enterprise-grade PII and PHI scrubbing entirely in your browser's RAM, ensuring zero-trust data sanitization for texts and documents (PDFs, DOCX, CSV) without ever sending data to an external server.

What happens to the session map when I close the browser?

The session map is stored exclusively in volatile browser RAM. The moment you close the tab, reload the page, or navigate away, the entire mapping — including all original PII values — is permanently destroyed.

Does PrivacyScrubber remove PII from uploaded documents, and what is the output format?

Yes. PrivacyScrubber detects and scrubs PII from local documents (.txt, .docx, .pdf, .xlsx, .csv, and images). You can download the output either as a fully sanitized, anonymized document (retaining its original file extension and structure) or copy the processed text stream directly to your clipboard.

How does the TEAMS encrypted session sharing work?

PrivacyScrubber generates an AES-GCM encrypted link locally. Your colleague can paste the AI's response and use your shared, encrypted key to safely 'reveal' the original data on their machine — no database or server involved.

How does closed Shadow DOM sandboxing protect my data from malicious scripts?

PrivacyScrubber encloses both your editor input (#inputText) and the highlighted token output within isolated, closed Shadow DOM roots. This makes the raw, unredacted text completely inaccessible to any third-party scripts, browser extensions, or key-sniffing scripts running in your main document pool, creating a hardened frontend sandbox.

Can corporate accounts or accounting firms pay via manual invoice or wire transfer (SWIFT/SEPA)?

Yes. If your corporate credit card is declined due to international banking restrictions or if your procurement department requires manual invoicing, purchase orders (PO), or bank wire transfers (SWIFT/SEPA), our team can manually issue a formal invoice with tax reverse-charge support. Contact support@privacyscrubber.com to request an enterprise invoice.

How does PrivacyScrubber prevent data residue in system RAM (V8 memory wiping)?

To prevent PII or case documents from remaining in your device's memory after sanitization, the processing engine actively overwrites all temporary parsing buffers (used for DOCX, PDF, and spreadsheet extraction) at the byte level using Uint8Array.fill(0) in local memory immediately after use, ensuring zero sensitive residue remains in RAM before garbage collection.

Does changing the detection profile reset my protected session data?

No. Changing your detection profile (e.g., from General PII to Wealth Management) does not clear your active session or reset your local token maps. This ensures that any tokens generated using your previous profile remain fully decryptable when you paste AI responses back to 'Reveal' the original text. To completely wipe your session, rotate encryption keys, and clear all memory, click the 'Clear' button at any time.

How do local Audit Receipts and Teams Handoff work without a backend database?

PrivacyScrubber operates entirely in your browser's local RAM. Compliance audit receipts and team handoffs are exclusive features of the Teams Subscription. For audit compliance, the system builds an offline cryptographic PDF receipt documenting entity counts, timestamps, and active compliance profiles. For Teams Handoff, it encrypts the tab's session map in-memory using Argon2id and XChaCha20-Poly1305. Your colleague decrypts the token map on their machine using the shared key — no central database or server ever touches your data.

Does PrivacyScrubber use third-party tracking, analytics, or review widgets?

No. To maintain a strict zero-trust data sanitization architecture, PrivacyScrubber does not load third-party analytics trackers, cookies, or reviews integrations (such as Google Customer Reviews or similar widgets). Adding dynamic third-party scripts would require relaxing our Content Security Policy (CSP) and could allow external servers to inspect page states or log user environments. We display reviews statically or link to external platforms like G2 or the Chrome Web Store to ensure zero data leakage.

Can I use PrivacyScrubber as a PII MCP Server for Cursor or Claude Desktop?

Yes. PrivacyScrubber offers an official local Model Context Protocol (MCP) server package (@privacyscrubber/mcp-server) that integrates directly with Cursor IDE, Windsurf, and Claude Desktop. It acts as a local prompt security gateway, scanning and masking PII and API keys locally in volatile RAM before they are transmitted to external LLM APIs.

How are Team Administrator roles managed without a backend server?

In our Zero-Trust Data Sanitization (ZTDS) architecture, there are no server-side accounts or traditional 'Admin' vs 'User' roles. Team Administration is handled via client-side Blueprints. A team lead sets up the required compliance profiles, custom regex rules, and organization name locally, then locks the configuration and exports a cryptographic 'Team Blueprint' URL. When workers click this URL, their local PrivacyScrubber instance activates the TEAMS license, imports the mandated configuration, and disables their ability to edit or delete rules, ensuring organization-wide compliance securely without a backend database.

What is the difference between Token Labels and Custom Regex Rules?

Custom Regex Rules and Token Labels serve distinct purposes in Zero-Trust AI sanitization. Custom Regex Rules are a pattern discovery engine used to identify new or proprietary identifiers (such as internal ticket numbers, project codes like PROJ-\d{4}, or custom account formats) that are not covered by default NER models. In contrast, Token Labels do not search for new text; instead, they rename the replacement placeholders for standard detected entities (for example, mapping NAME → PATIENT or ID → CASE_NUMBER) so that the LLM receives domain-accurate semantic context in its prompt without requiring custom regex code.

How do Custom Token Labels optimize LLM prompt comprehension?

When prompts are sanitized using generic placeholders like [NAME_1] or [ID_1], LLMs may lose contextual role differentiation in multi-party prompts. Custom Token Labels allow PRO and TEAMS users to alias standard entity categories to domain-specific terminology (such as [PATIENT_1], [CLIENT_1], [PLAINTIFF_1], or [DEFENDANT_1]). This gives the LLM precise semantic clarity about each entity's functional role while preserving 100% anonymization and enabling seamless 1-click reverse-scrubbing ('Reveal') of the AI response.

Data flow diagram showing local client-side redaction of JWT Token Redaction for AI before sending to AI.

Dev

JWT Token Redaction for AI: Securely Debugging Logs with ChatGPT & Claude

Guide for developers on redacting JWT tokens, authorization headers, and application credentials from log dumps before sharing with AI code review models.

Ilya SibiryakovPrivacy Architect

Published: August 15, 2026 · Updated: August 15, 2026 · 3 min read

100% Local Processing ✈ Airplane Mode Verified⊘ No Server Logs

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"Guide for developers on redacting JWT tokens, authorization headers, and application credentials from log dumps before sharing with AI code review models."

Zero-Trust DEV data sanitization for AI workflows

100% browser-side processing — zero data transmitted to servers

Airplane Mode verified — works fully offline after load

Secure tokenization [TYPE_N] prevents LLM data leakage

Compliance-ready implementation for professional AI usage

Enterprise-Grade AI Privacy

Add custom redaction rules and priority support with PRO.

GO PRO

Live Simulation

Zero-Trust Data Sanitization

Watch PrivacyScrubber's local engine transform sensitive Dev data instantly in your browser, without any API calls.

Automated Detection Classes:

API Access Keys / TokensJWT Authorization TokensAWS Access / Secret KeysDatabase Connection URIsUser / Server IP Addresses

100% Client-Side Execution

Wasm_Engine

PROD LOG > [ERROR] user=john@corp.com ip=10.0.44.201 Failed auth: key=sk-prod-xK9mN2pL8qR4tY7vZ1 DB: postgres://admin:Pass1234@db.internal:5432/prod

PROD LOG > [ERROR] user=[EMAIL_1] ip=[IP_1] Failed auth: key=[API_KEY_1] DB: [DATABASE_URL_1]

AI Risk Calculator

Company

AI Users50

Risk● Critical

Leaks/yr

9,000

Max Fine

€20M

AI Adoption in JWT Token Redaction for AI

Leveraging Generative AI for jwt token redaction for ai: securely debugging logs with chatgpt & claude offers unprecedented efficiency, but it introduces a critical "Shadow AI" risk: the unintentional transmission of proprietary data to third-party model training loops. Our dev AI privacy guides provide the technical roadmap for maintaining your privacy perimeter.

For professionals in this niche, the primary challenge is maintaining the confidentiality of jwt token redaction ai while benefiting from LLM-powered drafting and automation. This risk overlap often requires understanding masking internal API keys from AI to distinguish between safe and exposed data patterns.

Primary Data Exposure Vectors

When you use AI tools without proper sanitization, you are likely exposing several categories of sensitive information:

Individual Identifiers: Names, emails, and contact details.
Commercial Secrets: Deal terms, strategic plans, and proprietary logic.
Compliance Data: Data parameters that mirror standards for secure license distribution.

PrivacyScrubber identifies these entities locally in your browser RAM using a zero-trust architecture.

Step-by-Step Sanitization Workflow

Paste & Scrub: Paste your sensitive text into the PrivacyScrubber dashboard. The tool instantly tokenizes all PII using local regular expressions.

AI Processing: Anonymized text is safe for LLM training and processing.

Verification: This workflow aligns with PII MCP Server integration for verifiable browser-side security.

Verifiable Privacy Guarantee

Unlike cloud-based PII masking workspaces that send your data to their servers to be hidden, PrivacyScrubber executes all logic within your local browser environment. We store zero logs and have zero server-side storage for your inputs.

Airplane Mode Verified

Load the page, disconnect your Wi-Fi, and perform a full scrub. Everything works perfectly offline.

ChatGPT (OpenAI) Integration

How to Protect Data for JWT Token Redaction for AI

PrivacyScrubber operates entirely client-side. Whether using the copy-paste dashboard or the browser extension, your sensitive records stay on your local device. Follow these instructions to safely use ChatGPT (OpenAI):

1 Method A: Zero-Trust Web Workspace (Copy-Paste)

Best for manual prompt sanitization without installing plugins:

Open the PrivacyScrubber Web App dashboard in your browser.
Paste the raw prompt or text containing sensitive details of JWT Token Redaction for AI.
Click Protect PII. Sensitive data is instantly swapped for secure placeholders (e.g., [NAME_1]).
Submit the sanitized prompt to ChatGPT (OpenAI).
Paste the AI's answer into the Reveal Originals box to instantly restore the original values.

2 Method B: Chrome Extension (In-Context Redaction)

For automated, inline de-identification within chat interfaces:

Install the free PrivacyScrubber Chrome Extension from the Web Store.
Navigate to your AI chat interface. A PrivacyScrubber shield button will appear inline.
Paste your raw prompt. Click the shield button to sanitize all identifiers instantly in-place.
Send the prompt to the AI chatbot.
The extension automatically intercepts and detokenizes the response, displaying raw values to you.

Local Redaction & Risk Matrix for Security

Detection Entity	Token Placeholder	Risk Level	Security Action
API Access Keys / Tokens	[API_KEY]	Critical (Cloud account takeover)	Pattern matching mask
JWT Authorization Tokens	[JWT_TOKEN]	Critical (Session hijacking)	Bearer header scrubbing
AWS Access / Secret Keys	[AWS_SECRET]	Critical (Infrastructure compromise)	Offline credential swap
Database Connection URIs	[DATABASE_URL]	Critical (Data store breach)	Credentials & path strip
User / Server IP Addresses	[IP_ADDRESS]	High (DLP / Location footprinting)	IPv4 / IPv6 format strip

VERIFIABLE WORKFLOW

From Raw Security Data to Clean AI Prompt

3 Steps, 30 Seconds, Zero Server Hops.

Open PrivacyScrubber or the Chrome Extension. Paste your real JWT Token Redaction for AI text. What reaches ChatGPT looks like this: [NAME_1][EMAIL_1]. Your original data stays local the entire time.

Paste Your Real Data

Paste your actual JWT Token Redaction for AI text into PrivacyScrubber — or click the shield icon directly inside ChatGPT, Claude, or Gemini. No copy-paste workaround. No second tab. It sits right where you already work.

Automated Detection Classes:

[API_KEY][JWT_TOKEN][AWS_SECRET][DATABASE_URL][IP_ADDRESS]

Names Out, Tokens In — Locally

The engine runs inside your browser. Every real name, ID, and email is replaced with a safe token ([NAME_1], [EMAIL_1]) before the prompt is sent. The AI analyzes your actual business logic — but sees zero real identities.

Safety standard:

Airplane Mode Verified (RAM Only)

Get the AI's Answer Back in Plain Language

Paste the AI's response into Reveal Originals. PrivacyScrubber swaps every token back to the original value — instantly, inside browser RAM. Close the tab and every mapping is gone. Nothing stored, nothing logged, nothing sent.

Privacy Guarantee:

Mapping destroyed on tab close

Dev Adoption Use Cases

Principal Cloud Security ArchitectSECRET PROTECTION

Zero-Trust Verified

Prevents accidental leaks of AWS keys, JWTs, database connection strings, and private GitHub tokens into public LLM training datasets.

VP of Infrastructure & DevOpsDEVOPS & SRE

Zero-Trust Verified

Sanitizes stack traces, internal IP ranges, and Kubernetes cluster configs in developer terminal clipboards prior to debugging with AI assistants.

Head of Application Security (AppSec)APP SECURITY

Zero-Trust Verified

Enforces automated local redaction of production API keys and customer payloads in developer browser extensions.

Lead Software ArchitectSYSTEM ARCHITECTURE

Zero-Trust Verified

Masks proprietary algorithm logic and confidential code comments before querying generative code assistants.

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.

Add the Free Extension for Dev

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Sensitive Data 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 sensitive data text, click Protect PII. 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.

COMPLIANCE FAQ

Frequently Asked Questions

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

Does local data masking satisfy GDPR?

Yes. Processing pseudonymized data inside your browser aligns with GDPR data minimization (Article 5(1)(c)). No outbound requests are made to any server.

Can PrivacyScrubber work in high-security air-gapped environments?

Absolutely. Once the page is loaded, PrivacyScrubber requires zero network connectivity. You can audit this in Chrome DevTools or by enabling Airplane Mode.

← More Dev Solutions

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JWT Token Redaction for AI: Securely Debugging Logs with ChatGPT & Claude

AI Summary / Key Takeaways

Zero-Trust Data Sanitization

Try PII Masking Live

AI Risk Calculator

AI Adoption in JWT Token Redaction for AI

Primary Data Exposure Vectors

Step-by-Step Sanitization Workflow

Verifiable Privacy Guarantee

How to Protect Data for JWT Token Redaction for AI

1 Method A: Zero-Trust Web Workspace (Copy-Paste)

2 Method B: Chrome Extension (In-Context Redaction)

Local Redaction & Risk Matrix for Security

From Raw Security Data to Clean AI Prompt

Paste Your Real Data

Names Out, Tokens In — Locally

Get the AI's Answer Back in Plain Language

Dev Adoption Use Cases

Scrub it before it reaches the AI — right from your toolbar

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Frequently Asked Questions

Save Output Package

Blueprint Generated

Add to Device Home Screen

Add to Device Home Screen

JWT Token Redaction for AI: Securely Debugging Logs with ChatGPT & Claude

AI Summary / Key Takeaways

Zero-Trust Data Sanitization

Try PII Masking Live

AI Risk Calculator

Get Your Risk Estimate

Report Generated!

Automate Compliance For Your Team

AI Adoption in JWT Token Redaction for AI

Primary Data Exposure Vectors

Step-by-Step Sanitization Workflow

Verifiable Privacy Guarantee

How to Protect Data for JWT Token Redaction for AI

1 Method A: Zero-Trust Web Workspace (Copy-Paste)

2 Method B: Chrome Extension (In-Context Redaction)

Local Redaction & Risk Matrix for Security

From Raw Security Data to Clean AI Prompt

Paste Your Real Data

Names Out, Tokens In — Locally

Get the AI's Answer Back in Plain Language

Dev Adoption Use Cases

Scrub it before it reaches the AI — right from your toolbar

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Frequently Asked Questions

Session Memory Handoff

Save Output Package

Blueprint Generated

Add to Device Home Screen