Developer Secrets and PII Protection for Code Analysis
Dev

NPM PII Redaction SDK: Zero-Trust Node.js Scrubber

Integrate the PrivacyScrubber NPM SDK into your Node.js CI/CD pipelines. 100% offline, zero-trust PII redaction at 4M chars/sec. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"PrivacyScrubber provides the essential de-identification layer for Dev professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Dev 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.

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

50
Risk● Critical
Leaks/yr
9,000
Max Fine
€20M

Get Your Risk Estimate

Provide company details to generate your personalized Shadow AI risk estimate.

The Zero-Trust Imperative: Sanitize API payloads and application logs from production secrets before feeding them into debugging LLMs. PrivacyScrubber ensures you can leverage GenAI safely by neutralizing risks 100% offline in your browser.

What Dev Professionals Send to AI — and What They Should Be Sending Instead

Aligning corporate data policy with NPM PII Redaction SDK requires strict input validation. As enterprises deploy platforms like GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools, preventing unmanaged information egress to public model training queues becomes a top priority. Our dev AI privacy guides maps out a clear path to maintain the dev safety envelope. The primary concern is preventing leaking API keys, database credentials, user PII from logs, and internal system architecture to AI code assistants that may log prompts across all endpoints.

Every prompt delivered to a third-party AI provider carrying dev records or confidential corporate information constitutes a potential non-disclosure violation. Standard API safety switches often fail to capture contextual PII, and their logging policies are not always SOC 2 audited for your specific use case. For software engineers, DevOps teams, and security engineers, the exposure vector is the raw input stream. Integrate the PrivacyScrubber NPM SDK into your Node.js CI/CD pipelines. 100% offline, zero-trust PII redaction at 4M chars/sec. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Why Dev Compliance Teams Flag Unmasked AI Prompts

Under OWASP guidelines on secrets management, SOC 2 Type II trust service criteria, and GDPR Article 25 (data protection by design), corporate and customer record safety is heavily audited. Bridging the gap between speed and security requires following node.js pii masking workspace to manage unstructured text. Verifiable safety means stripping identifying info at the browser level. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.

Through Zero-Trust Data Sanitization, PrivacyScrubber secures prompt entry points locally via our Secure Workspace and the PrivacyScrubber Chrome Extension.

How to Use AI on Real Dev Data — Without Sending a Single Real Name

Through Zero-Trust Data Sanitization, PrivacyScrubber secures prompt entry points locally via our Secure Workspace and the PrivacyScrubber Chrome Extension. The system tokenizes customer and business identifiers (such as [ID_1]) before exfiltration, aligning with standard procedures for secure license distribution. The Chrome Extension inserts a secure shield button inside ChatGPT, Claude, and Gemini to automate prompt redaction and in-place restoration. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools for production workflows without introducing external risk.

This zero-transmission architecture is independently auditable via our Airplane Mode Standard. By disconnecting your network and running a full scrub-and-restore cycle, you verify that no outbound packets are transmitted. This aligns with PII MCP Server integration for hardened dev security: local execution is the primary safeguard for AI data privacy.

Deploy Zero-Trust DLP for Developer Fleets

Protecting code logs or system stack traces from leaking to public models? With PrivacyScrubber TEAMS, security teams can distribute custom regex rules globally via Chrome MDM policies. Protect proprietary API keys, database URLs, and UUIDs across your entire developer fleet without centralizing user telemetry.

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 AlgorithmXChaCha20-Poly1305 (Argon2id)
Detection MethodContext-Aware Regex + NER (99.4% Accuracy)
Data Egress RuleZero-Server Egress (Airplane Mode Verifiable)
Classification StandardEnhanced Privacy Guard
Associated Threat LevelCritical (Compliance Breach)
Instant Simulation

NPM PII Redaction SDK Sanitizer

Watch our zero-trust engine neutralize sensitive identifiers 100% locally. No data ever leaves your device.

Local processing 0 Server logs
ZTDS_ENGINE_V1.5.0
PROMPT INPUT > Draft a reply for customer inquiry. Sender is Alice Johnson, email: alice.j@organization.org, mobile: 555-0177.
PROMPT INPUT > Draft a reply for customer inquiry. Sender is [NAME_1], email: [EMAIL_1], mobile: [PHONE_1].

Dev Detection Profile

Our zero-trust engine is pre-hardened for Dev workflows, automatically identifying and tokenizing the following parameters 100% locally.

API_KEY
Active Protection
JWT_TOKEN
Active Protection
AWS_SECRET
Active Protection
DATABASE_URL
Active Protection
IP_ADDRESS
Active Protection

Zero-Trust Architecture

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 MCP Server integration.

Hardware-Level Verification

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.

ChatGPT & Enterprise LLMs Integration

How to Protect Data for NPM PII Redaction SDK

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 & Enterprise LLMs:

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

Best for manual prompt sanitization without installing plugins:

  1. Open the PrivacyScrubber Web App dashboard in your browser.
  2. Paste the raw prompt or document text containing sensitive customer, employee, or proprietary identifiers.
  3. Click Protect PII. Sensitive data is instantly swapped for secure placeholders (e.g., [NAME_1]).
  4. Submit the sanitized prompt to ChatGPT & Enterprise LLMs.
  5. 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:

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

Local Redaction & Risk Matrix for Dev

Detection EntityToken PlaceholderRisk LevelSecurity 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 Dev Data to Clean AI Prompt

3 Steps, 30 Seconds, Zero Server Hops.

Open PrivacyScrubber or the Chrome Extension. Paste your raw prompt or document text. What reaches ChatGPT looks like this: [NAME_1][EMAIL_1]. Your original data stays local the entire time.

1

Paste Your Real Data

Paste your actual prompt or document 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]
2

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)
3

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.

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Dev 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 dev 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 protecting data with PrivacyScrubber before AI processing satisfy OWASP guidelines on secrets management?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with OWASP guidelines on secrets management 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 dev 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 dev-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask dev 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 dev 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 "Protect PII" — 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.
What Dev Professionals Send to AI — and What They Should Be Sending Instead
Why Dev Compliance Teams Flag Unmasked AI Prompts
Under OWASP guidelines on secrets management, SOC 2 Type II trust service criteria, and GDPR Article 25 (data protection by design), corporate and customer record safety is heavily audited. Bridging the gap between speed and security requires following node.js pii masking workspace to manage unstructured text. Verifiable safety means stripping identifying info at the browser level. 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 Dev Data — Without Sending a Single Real Name
Through Zero-Trust Data Sanitization, PrivacyScrubber secures prompt entry points locally via our Secure Workspace and the PrivacyScrubber Chrome Extension. The system tokenizes customer and business identifiers (such as [ID_1]) before exfiltration, aligning with standard procedures for secure license distribution. The Chrome Extension inserts a secure shield button inside ChatGPT, Claude, and Gemini to automate prompt redaction and in-place restoration. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools for production workflows without introducing external risk.
Is PrivacyScrubber safe for npm pii redaction sdk, nodejs pii masking workspace package, local pii masking javascript, zero trust data sanitization library?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with npm pii redaction sdk, nodejs pii masking workspace package, local pii masking javascript, zero trust data sanitization library, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for dev?
Our engine includes 22+ built-in industry profiles optimized for dev data. Furthermore, our Flat-rate TEAMS tier allows you to define unlimited custom Regular Expressions that process data securely in offline memory.
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