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.

Privacy-Protected Agentic AI Architecture

Agents

n8n AI Workflow Privacy: Zero-Trust Automation Guide

n8n lets you build powerful AI automations — but each node that touches real data is a PII leak point. Here is how to protect at every stage. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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

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

Paste real Agents 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

In This Article

Live Simulation

Zero-Trust Data Sanitization

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

Automated Detection Classes:

USER_IDAGENT_MEMORYRAG_CHUNKCONTEXT_PIISESSION_TOKEN

100% Client-Side Execution

Wasm_Engine

AGENT CONTEXT > user_id=user_8xKmN2 | session=sess_T7vZ1pQ RAG chunk: "Client Aisha Okonkwo (acct #00412) called re: invoice INV-2026-0332 for $4,500"

AGENT CONTEXT > user_id=[ID_1] | session=[ID_2] RAG chunk: "Client [NAME_1] (acct [ID_3]) called re: invoice [ID_4] for [VALUE_1]"

AI Risk Calculator

Company

AI Users50

Risk● Critical

Leaks/yr

9,000

Max Fine

€20M

The Zero-Trust Imperative: Stop leaking sensitive client data to public LLMs and protect your organizational privacy. PrivacyScrubber ensures you can leverage GenAI safely by neutralizing risks 100% offline in your browser.

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

Aligning business goals with the standards of "n8n AI Workflow Privacy: Zero-Trust Automation Guide" requires strict input verification. As teams integrate tools like LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure, the possibility of unmanaged corporate data exfiltration to remote servers poses a direct threat to GRC standing. Our agents AI privacy guides details the technical controls required to maintain the agents perimeter. The primary concern is preventing autonomous agents that accumulate PII across memory, tool calls, and vector store indexes — creating persistent privacy liabilities impossible to manually audit across all endpoints.

Submitting business records or executing "n8n AI privacy" queries in cloud AI systems can lead to NDA violations. Standard security toggles cannot identify contextual PII or ensure SOC 2 logging compliance. For AI engineers, LLM application developers, and enterprise AI architects, raw prompt inputs represent the primary leak vector. n8n lets you build powerful AI automations — but each node that touches real data is a PII leak point. Here is how to protect at every stage. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Why Agents Compliance Teams Flag Unmasked AI Prompts

Compliance auditors look for explicit safeguards: GDPR data minimization principles, NIST AI RMF (Risk Management Framework), and emerging agentic AI governance guidance. However, shadow AI usage often bypasses static network tools. Implementing the protocols in model context protocol (mcp) ai security helps organizations build a secure, compliant workflow that satisfies audit requirements. Verifiable security means stripping identifiers offline. Establishing technical controls for n8n AI privacy represents the only path to satisfy these criteria without adding server-side processing.

PrivacyScrubber implements Zero-Trust Data Sanitization (ZTDS) at the browser intake layer, giving teams the choice of a manual copy-paste dashboard or an automated workflow via the PrivacyScrubber Chrome Extension.

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

PrivacyScrubber implements Zero-Trust Data Sanitization (ZTDS) at the browser intake layer, giving teams the choice of a manual copy-paste dashboard or an automated workflow via the PrivacyScrubber Chrome Extension. Our engine performs local Named Entity Recognition (NER) to replace sensitive identifiers with deterministic tokens (e.g., [NAME_1], [ID_2]) before transmission. This architectural pattern mirrors industry standards for scaling agent architectures — ensuring that only sanitized, non-identifiable logic is processed by the AI. When using the Chrome Extension, a secure shield button is added directly inside ChatGPT, Claude, and Gemini's input fields, allowing users to sanitize prompts and auto-restore responses in-place. Processing data through browser-based Named Entity Recognition allows safe integration of LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure for "n8n AI privacy" tasks while preserving client privacy.

We support this architecture with the Airplane Mode Standard. Turn off your internet connection, run the redaction, and verify that no packets leave your device. This satisfies the safety rules in agentic data loss prevention for corporate data protection.

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.

Upgrade to PRO Deploy TEAMS

Zero-Trust Configuration & Threat Model

Deploying local data controls for n8n AI privacy is critical when routing inputs to external platforms like LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure. To safeguard user context, PrivacyScrubber isolates individual records by tokenizing key data points before cloud transmission. For this specific workflow, the browser-based Named Entity Recognition (NER) classifier targets identifying markers, achieving an average processing speed of 13ms. This allows team members to run complex queries involving n8n workflow PII while satisfying strict internal data security requirements.

Verification Protocol

Analyze input patterns to detect references to n8n AI privacy.
Apply local Named Entity Recognition to tokenize primary identifiers.
Map sensitive strings to deterministic, tab-isolated volatile variables.
Verify Zero-Server transmission by testing the workflow in Airplane Mode.

Parser Specifications

Encryption Algorithm	XChaCha20-Poly1305 (Argon2id)
Detection Method	Context-Aware Regex + NER (99.2% Accuracy)
Data Egress Rule	Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard	Standard Privacy Guard
Associated Threat Level	Medium (Metadata Leak)

Instant Simulation

n8n AI Workflow Privacy 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 n8n AI privacy. Sender is Alice Johnson, email: alice.j@organization.org, mobile: 555-0177.

PROMPT INPUT > Draft a reply for n8n AI privacy. Sender is [NAME_1], email: [EMAIL_1], mobile: [PHONE_1].

Agents Detection Profile

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

USER_ID

Active Protection

AGENT_MEMORY

Active Protection

RAG_CHUNK

Active Protection

CONTEXT_PII

Active Protection

SESSION_TOKEN

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 agentic data loss prevention.

Hardware-Level Verification

We encourage you to audit our zero-trust claims for n8n AI privacy using the Airplane Mode Test:

Open your browser's Network Monitor before you start scrubbing.

Switch to Airplane Mode (physical or simulated) and protect your text.

Verify that no data packets ever leave your machine.

ChatGPT & Enterprise LLMs Integration

How to Protect Data for n8n AI Workflow Privacy

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:

Open the PrivacyScrubber Web App dashboard in your browser.
Paste the raw prompt or text containing sensitive details of n8n AI Workflow Privacy.
Click Protect PII. Sensitive data is instantly swapped for secure placeholders (e.g., [NAME_1]).
Submit the sanitized prompt to ChatGPT & Enterprise LLMs.
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 Agents

Detection Entity	Token Placeholder	Risk Level	Security Action
USER_ID Details	[USER_ID]	Medium (PII Exposure)	Deterministic local swap
AGENT_MEMORY Details	[AGENT_MEMORY]	Medium (PII Exposure)	Deterministic local swap
RAG_CHUNK Details	[RAG_CHUNK]	Medium (PII Exposure)	Deterministic local swap
CONTEXT_PII Details	[CONTEXT_PII]	Medium (PII Exposure)	Deterministic local swap
SESSION_TOKEN Details	[SESSION_TOKEN]	Medium (PII Exposure)	Deterministic local swap

VERIFIABLE WORKFLOW

From Raw Agents Data to Clean AI Prompt

3 Steps, 30 Seconds, Zero Server Hops.

Open PrivacyScrubber or the Chrome Extension. Paste your real n8n AI Workflow Privacy 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 n8n AI Workflow Privacy 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:

[USER_ID][AGENT_MEMORY][RAG_CHUNK][CONTEXT_PII][SESSION_TOKEN]

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

Agents 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 Agents

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Agents 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 agents 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 Agents Teams.

Does protecting data before AI processing satisfy GDPR data minimization principles?

Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with GDPR data minimization principles 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 agents use cases?

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 agents-specific patterns such as n8n AI privacy.

Can I reverse the redaction if I use PrivacyScrubber to mask agents 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 offline for n8n AI privacy?

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 agents 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 specifically for n8n AI privacy PII safety?

Yes. In the PRO edition of PrivacyScrubber, you can configure custom regular expression (regex) rules designed to target unique patterns associated with n8n AI privacy and other sector-specific nomenclature. 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 Agents Professionals Send to AI — and What They Should Be Sending Instead

Why Agents Compliance Teams Flag Unmasked AI Prompts

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

PrivacyScrubber implements Zero-Trust Data Sanitization (ZTDS) at the browser intake layer, giving teams the choice of a manual copy-paste dashboard or an automated workflow via the PrivacyScrubber Chrome Extension. Our engine performs local Named Entity Recognition (NER) to replace sensitive identifiers with deterministic tokens (e.g., [NAME_1], [ID_2]) before transmission. This architectural pattern mirrors industry standards for scaling agent architectures — ensuring that only sanitized, non-identifiable logic is processed by the AI. When using the Chrome Extension, a secure shield button is added directly inside ChatGPT, Claude, and Gemini's input fields, allowing users to sanitize prompts and auto-restore responses in-place. Processing data through browser-based Named Entity Recognition allows safe integration of LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure for "n8n AI privacy" tasks while preserving client privacy.

Is PrivacyScrubber safe for n8n AI privacy, n8n workflow PII, n8n data protection, self-hosted automation privacy?

Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with n8n AI privacy, n8n workflow PII, n8n data protection, self-hosted automation privacy, no sensitive data ever leaves your device or touches a cloud server.

How does it handle custom data structures for agents?

Our engine includes 22+ built-in industry profiles optimized for agents 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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