Zero-Trust Security Analysis for AI Vulnerabilities
Security

Zero-Trust LLM Gateways: Why Client-Side Scrubbing Beats API Proxies

Zero-Trust LLM Gateways: Stop trusting API proxies with your PII. Client-side data sanitization is the only true zero-trust architecture for enterprise LLM gateways. 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 Security professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Security 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.

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Live Turnkey Simulator · ZTDS Engine

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.

0 Bytes Server Egress
<1.8ms Latency
Select Industry Test Payload:
Raw Input Payload
0 chars
RAM-Only Isolated Session
Sanitized Output
Click any token above to toggle single-token reveal ✓ Restored
Automated Detection Classes:
User / Server IP AddressesAWS_KEYINTERNAL_HOSTNAMEMAC_ADDRESSVULN_ID

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.

Zero-Trust Data Protection: Prevent shadow AI data leaks by enforcing a zero-trust, client-side redaction perimeter. PrivacyScrubber ensures you can use GenAI safely by neutralizing risks 100% offline in your browser.

What Security Architects Send to AI — and What They Should Be Sending Instead

Protecting workflows for Zero-Trust LLM Gateways is a major technical objective for modern organizations. Utilizing platforms like ChatGPT for report writing, AI-assisted SIEM analysis, and security audit tools without input filtering creates immediate liabilities regarding proprietary records. Our security AI privacy guides outlines critical defense strategies to secure the security boundary, resolving submitting security architecture details, vulnerability scan results, client infrastructure data, and incident timelines to third-party AI before any external API receives the prompt.

Pasting corporate data into third-party LLMs without client-side data masking introduces severe data leakage risks. Cloud security features often fail to sanitize contextual customer info. For CISOs, security analysts, penetration testers, and GRC professionals, the core exposure occurs at the prompt entry point. Stop trusting API proxies with your PII. Client-side data sanitization is the only true zero-trust architecture for enterprise LLM gateways. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Privacy Insight: While API proxies route traffic through external servers to redact PII, they introduce transit vulnerabilities and single points of failure. In contrast, client-side browser sanitization helps ensure that sensitive strings are neutralized at the interface level, preventing unmasked data from ever hitting network transit channels.

Why Security Compliance Teams Flag Unmasked AI Prompts

Compliance in the security space is mandatory: ISO 27001 Annex A controls (A.8.2, A.8.11), SOC 2 Type II, NIST Cybersecurity Framework, and FCA/DORA compliance. Yet, technical safeguards often lag behind shadow AI usage. Managing this exposure relies on the principles in chatgpt agent mode privacy risks to prevent corporate records from becoming training data. You must sanitize inputs before cloud transit. Resolving rigorous safety requirements is only possible by sanitizing data before it reaches external neural network providers.

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 Security 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 LLM DLP for enterprise — 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. Running Named Entity Recognition locally ensures that teams can continue using ChatGPT for report writing, AI-assisted SIEM analysis, and security audit tools for daily queries without any third-party data collection.

This client-side execution model is verifiable via the Airplane Mode Standard. Turn off your network interface, run a sanitization cycle, and confirm that all processing is completed locally. This aligns with PII MCP Server deployment, proving that no database or server logs receive unmasked data.

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

Deploying local data controls is critical when routing prompts to external platforms like ChatGPT for report writing, AI-assisted SIEM analysis, and security audit tools. To safeguard sensitive context, PrivacyScrubber isolates individual records by tokenizing personal and proprietary 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 9ms. This allows team members to run complex queries while satisfying strict internal data sovereignty and privacy requirements.

Verification Protocol

  • Parse unstructured records for key data points and confidential entities.
  • Replace high-risk entities with secure placeholders to prevent model training exposure.
  • Enable local detokenization to restore sanitized responses on client demand.
  • Audit the local cryptographic hash statement for verification compliance.

Parser Specifications

Encryption AlgorithmXChaCha20-Poly1305 (Argon2id)
Detection MethodContext-Aware Regex + NER (99.2% Accuracy)
Data Egress RuleZero-Server Egress (Airplane Mode Verifiable)
Classification StandardStandard Privacy Guard
Associated Threat LevelMedium (Metadata Leak)
Instant Simulation

Zero-Trust LLM Gateways 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 > Review application access logs for user Richard Branson (richard@branson.co.uk), phone number: 555-0111.
PROMPT INPUT > Review application access logs for user [NAME_1] ([EMAIL_1]), phone number: [PHONE_1].

Security Detection Profile

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

IP_ADDRESS
Active Protection
AWS_KEY
Active Protection
INTERNAL_HOSTNAME
Active Protection
MAC_ADDRESS
Active Protection
VULN_ID
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 deployment.

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.

Developer AI & IDE Agent Pipelines Integration

Step-by-Step Integration Guide: Zero-Trust LLM Gateways

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 Developer AI & IDE Agent Pipelines:

1 Method A: Instant Clipboard & Web Workspace

Fastest for ad-hoc debugging, server crash logs, or DB dumps:

  1. Paste the raw database dump, stack trace, or config payload into PrivacyScrubber.
  2. Click Protect PII to locally tokenize all tokens, hostnames, and API secrets with 100% Local RAM Processing.
  3. Copy the sanitized code and safely query ChatGPT, Claude, or Copilot.
  4. Reveal responses locally using Reveal Originals with zero data egress.

2 Method B: Chrome Extension & MCP Server

For automated in-browser prompt masking & IDE agents (Cursor / Cline):

  1. Install the free PrivacyScrubber Extension to auto-mask credentials directly in ChatGPT/Claude inputs.
  2. Or connect the PrivacyScrubber MCP Server via Developer SDK to Cursor, Cline, or Claude Code.
  3. Session token maps remain 100% in volatile RAM with zero telemetry.
  4. Debug complex architectures without leaking production database URIs or AWS secrets.

Local Redaction & Risk Matrix for Security

Detection EntityToken PlaceholderRisk LevelSecurity Action
User / Server IP Addresses[IP_ADDRESS]High (DLP / Location footprinting)IPv4 / IPv6 format strip
AWS_KEY Details[AWS_KEY]Medium (PII Exposure)Deterministic local swap
INTERNAL_HOSTNAME Details[INTERNAL_HOSTNAME]Medium (PII Exposure)Deterministic local swap
MAC_ADDRESS Details[MAC_ADDRESS]Medium (PII Exposure)Deterministic local swap
VULN_ID Details[VULN_ID]Medium (PII Exposure)Deterministic local swap

3-Step Zero-Trust AI Workflow Template

Role: Lead DevSecOps Engineer / Cloud Security Architect · Target: Developer AI & IDE Agent Pipelines
1. Sanitize Data First
1Sanitize in PrivacyScrubber
2Run Prompt in Developer AI & IDE Agent Pipelines
31-Click Reveal via sessionMap
DevSecOps Root Cause Analysis (Production Stack Trace & Config Sanitization)PrivacyScrubber ZTDS Protocol
Act as a principal cloud systems architect. Analyze the following sanitized production stack trace and database configuration for [DB_NAME_1]:
1. Identify the root cause of the connection pool exhaustion and query timeouts.
2. Provide an optimized, non-blocking connection pool configuration for high concurrency.
3. Draft a step-by-step remediation patch. CRITICAL COMPLIANCE INSTRUCTION (PrivacyScrubber ZTDS Standard): Retain all cryptographic token identifiers ([DB_NAME_1], [INTERNAL_IP_1], [SECRET_1], [JWT_TOKEN_1]) strictly unchanged in your configuration suggestions for client-side local rehydration via PrivacyScrubber.
Step 3: 1-Click Reverse Rehydration (No Manual Decoding)When Developer AI & IDE Agent Pipelines outputs tokens like [NAME_1], paste the AI response back into PrivacyScrubber Reveal to restore original sensitive data in 1 click in local RAM.
Auto-Reveal in Extension
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: SOC 2 Type II CC6.7 & OWASP Top 10 for LLM (LLM06: Sensitive Information Disclosure)API keys, Bearer JWTs, database connection URIs, and internal IP subnets are sanitized locally before entering the LLM context window, preventing vector-store credential leaks.

Security Adoption Use Cases

CISO Security TeamDLP GOVERNANCE
Zero-Trust Verified
Security teams deploy client-side sanitization to keep outbound AI prompts free of sensitive organizational data, avoiding complex multi-party DPA negotiations.
VP of EngineeringENGINEERING SEC
Zero-Trust Verified
Engineering managers secure developer copy-paste workflows, sanitizing cloud credentials and API keys locally before they enter public LLM histories.
Risk & Audit LeadCOMPLIANCE AUDIT
Zero-Trust Verified
Compliance directors verify local-only sanitization at the browser extension level, satisfying SOC 2 Type II controls for external AI data transmission.
Data Protection OfficerGDPR COMPLIANCE
Zero-Trust Verified
Data protection officers enforce client-side tokenization, keeping prompt text fully minimized and anonymous in compliance with GDPR data processing rules.

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 Security 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 security 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 Security Teams.

Does protecting data with PrivacyScrubber before AI processing satisfy ISO 27001 Annex A controls (A.8.2?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with ISO 27001 Annex A controls (A.8.2 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 security 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 security-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask security 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 security 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 Security Architects Send to AI — and What They Should Be Sending Instead
Why Security Compliance Teams Flag Unmasked AI Prompts
Compliance in the security space is mandatory: ISO 27001 Annex A controls (A.8.2, A.8.11), SOC 2 Type II, NIST Cybersecurity Framework, and FCA/DORA compliance. Yet, technical safeguards often lag behind shadow AI usage. Managing this exposure relies on the principles in chatgpt agent mode privacy risks to prevent corporate records from becoming training data. You must sanitize inputs before cloud transit. Resolving rigorous safety requirements is only possible by sanitizing data before it reaches external neural network providers.
How to Use AI on Real Security 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 LLM DLP for enterprise — 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. Running Named Entity Recognition locally ensures that teams can continue using ChatGPT for report writing, AI-assisted SIEM analysis, and security audit tools for daily queries without any third-party data collection.
Is PrivacyScrubber safe for zero trust llm gateway, client side pii masking workspace, api proxy data risk, enterprise llm security?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with zero trust llm gateway, client side pii masking workspace, api proxy data risk, enterprise llm security, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for security?
Our engine includes 22+ built-in industry profiles optimized for security 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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