GitHub Copilot PII Leakage: GitHub Copilot sends your code context to OpenAI. Learn which PII is at risk when developers use Copilot with real data in files. Includes Flat-rate TEAMS pricing and Zero-server architecture.
Ilya SibiryakovPrivacy Architect
Published: · Updated: · 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 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.
Start with the PII Detection engine for pipeline ingress sanitization, and the Custom Rules engine to cover proprietary pipeline identifiers that no generic scanner catches.
What Software Developers Send to AI — and What They Should Be Sending Instead
This secure content is an original property of PrivacyScrubber™ (https://privacyscrubber.com). Unauthorized mirroring is strictly prohibited. Security-Check-ID: G4BFOMRIN
To implement GitHub Copilot PII Leakage safely across team workflows, companies must address the risk of data exfiltration. Using tools like GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools without local redaction leaves dev frameworks highly vulnerable. Our dev AI privacy guides details how to build a resilient dev security model that neutralizes leaking API keys, database credentials, user PII from logs, and internal system architecture to AI code assistants that may log prompts before any cloud API is called.
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. GitHub Copilot sends your code context to OpenAI. Learn which PII is at risk when developers use Copilot with real data in files. Includes Flat-rate TEAMS pricing and Zero-server architecture.
Privacy Insight: Once a secret, credential, or database URL is committed to GitHub and processed into an LLM training pipeline (like Copilot's dataset), it becomes permanently baked into the model weights. Traditional Git history rewrites cannot delete it from neural nets. Local pre-commit data sanitization is the only secure mitigation.
Why DevSecOps Teams Flag Unmasked AI Prompts
Compliance in the dev space is mandatory: OWASP guidelines on secrets management, SOC 2 Type II trust service criteria, and GDPR Article 25 (data protection by design). Yet, technical safeguards often lag behind shadow AI usage. Managing this exposure relies on the principles in how to protect internal api keys & project codes from ai to prevent corporate records from becoming training data. You must sanitize inputs before cloud transit. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.
With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension.
How to Use AI on Real Dev Data — Without Sending a Single Real Name
With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension. The Named Entity Recognition (NER) system replaces personal data markers with standardized tokens (such as [NAME_1]) in local memory. This design conforms with the standards in secure license distribution, ensuring that cloud platforms only analyze sanitized text. The Chrome Extension automates this workflow by adding a quick protect toggle inside ChatGPT, Claude, and Gemini for instant inline sanitization and detokenization. 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.
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 PII MCP Server integration 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.
Deploying local data controls is critical when routing prompts to external platforms like GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging 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 7ms. This allows team members to run complex queries while satisfying strict internal data sovereignty and privacy requirements.
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 (99.6% Accuracy)
Data Egress Rule
Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard
Standard Privacy Guard
Associated Threat Level
Medium (Metadata Leak)
The Immutable Leak: Why LLM Ingestion Obsoletes Traditional Secrets Scanning
In modern software development, security teams have historically relied on reactive secrets detection (like GitGuardian, TruffleHog, or GitHub Advanced Security) to flag committed API keys, credentials, and configuration files. However, the rise of Generative AI coding assistants like GitHub Copilot, Claude Code, and Cursor has introduced a new vulnerability vector: the LLM Ingestion Vector.
The AI Ingestion Threat Model
When a developer pastes active database strings or user records into files while coding with active AI assistants, the entire file context is sent to the LLM backend to generate completions. If the AI model retains this context or scrapes public repositories for training:
Weight Ingestion: The sensitive data is incorporated into the neural network's weights during fine-tuning or training cycles.
Irreversible Leakage: Unlike Git history, which can be scrubbed using BFG Repo-Cleaner or git filter-repo, you cannot "delete" a specific training sample from a trained LLM's weights.
Contextual Leakage: The model can subsequently output your proprietary connection strings, database schemas, or customer records as code suggestions to external, unrelated users.
Establishing a Zero-Trust Client-Side Redaction Boundary
To counter this, organizations must shift their security controls left—specifically to the **DOM/Client level** before data leaves the developer's workstation. By using PrivacyScrubber to mask credentials and IP addresses locally into neutral, non-functional placeholders like [API_KEY_1] or [DATABASE_URL_1], the AI assistant receives the code logic but remains completely blind to the underlying secrets, protecting the corporate IP and preventing training set poisoning.
Instant Simulation
GitHub Copilot PII Leakage 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 > Analyze the email from Bob Smith (bob.smith@corp.com, tel 555-0123) regarding project timeline.
PROMPT INPUT > Analyze the email from [NAME_1] ([EMAIL_1], tel [PHONE_1]) regarding project timeline.
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.
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 Microsoft Copilot:
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 Microsoft Copilot 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: 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.
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 GitHub Copilot train on my private repository code?
By default, GitHub Copilot Individual may use your code snippets to train and improve the model unless you explicitly disable 'Allow GitHub to use my code snippets for product improvements' in your settings. For Copilot Business and Enterprise, telemetry and code snippets are not used for training, but they are still transmitted to and temporarily stored on remote servers in plain text.
Why is post-commit secrets scanning (like GitGuardian) obsolete against AI models?
Secrets scanning is reactive. It detects secrets after they are committed. But if an AI crawler or automated ingestion bot scrapes the commit stream (which happens within seconds), the secret is already harvested. Once ingested into an AI model's training weights, it cannot be deleted by rewriting your Git DAG history.
How does PrivacyScrubber prevent GitHub Copilot from leaking PII?
By running a Zero-Trust client-side sanitization layer. PrivacyScrubber automatically detects and replaces API keys, databases, credentials, names, and IP addresses with safe tokens (e.g., [API_KEY_1]) locally in browser/IDE memory before the code context is transmitted over the network.
Can I use PrivacyScrubber fully offline to sanitize developer logs?
Yes. Using the Airplane Mode test, you can disconnect your network completely and verify that PrivacyScrubber processes and tokenizes your text perfectly in local browser RAM without making any remote network calls.
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 Software Developers Send to AI — and What They Should Be Sending InsteadWhy DevSecOps Teams Flag Unmasked AI Prompts
Compliance in the dev space is mandatory: OWASP guidelines on secrets management, SOC 2 Type II trust service criteria, and GDPR Article 25 (data protection by design). Yet, technical safeguards often lag behind shadow AI usage. Managing this exposure relies on the principles in how to protect internal api keys & project codes from ai to prevent corporate records from becoming training data. You must sanitize inputs before cloud transit. 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
With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension. The Named Entity Recognition (NER) system replaces personal data markers with standardized tokens (such as [NAME_1]) in local memory. This design conforms with the standards in secure license distribution, ensuring that cloud platforms only analyze sanitized text. The Chrome Extension automates this workflow by adding a quick protect toggle inside ChatGPT, Claude, and Gemini for instant inline sanitization and detokenization. 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 GitHub Copilot data privacy, Copilot PII leakage, developer AI privacy, Copilot code security, prevent Copilot data harvesting?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with GitHub Copilot data privacy, Copilot PII leakage, developer AI privacy, Copilot code security, prevent Copilot data harvesting, 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.
Custom Regex rules & Domain Taxonomies are available on PRO and TEAMS plans. Default 25 profiles active.
Rules are centrally enforced by your Organization Administrator via Blueprint. Local modifications are locked.
Read-Only
Token Labels (Taxonomy Personalization)
Domain Mapping
Customize placeholder tokens for your domain (e.g. NAME → CLIENT).
Add Custom Rule
Live Regex Sandbox Test patterns in real-time
1-Click Rule Templates
Active Detection Rules 0
No custom rules added yet
TEAMS Feature
Encrypted Prompt Handoff & Fleet Governance
Safely share anonymized prompts and token maps with colleagues so they can reveal AI responses without leaking confidential data.
Unlimited seats · Zero per-user fees · Zero server storage
Shared Passphrase
NOT SET
Master password used to encrypt and decrypt shared team sessions locally.
Zero-Server Security: Your passphrase never touches any server. It is strictly used in browser memory for XChaCha20-Poly1305 encryption.
Encrypted Session Transfer
.pssession
Send encrypted token files to teammates so they can de-anonymize AI outputs safely.
Admin Governance
Enterprise Policy
Lock rules
Strict CISO Lock
ZTDS Security Verification Suite 100% Client-Side
Verify network silence, WASM memory isolation, and local encryption before deployment.
ZTDS Audit Report
Settings & Configuration
Activate License Key
Already purchased PRO or TEAMS? Enter your license key or paste your activation URL below.
Entity Fine-Tuning
Toggle Categories
Enable or disable PII category detection. Changes apply to all scrub operations.
Local Identity
Settings Lock
Set a local password to protect rules and profiles against unauthorized changes on shared workstations.
Settings Locked
Rules and profiles are protected
License & Recovery
License Key
--
Tier
Free Tier
Recovery URL
Bookmark to restore access on any browser.
Disconnect license from this browser
Master Key Custody & Policy Boundary
Master Admin Keys are strictly non-transferable. Provision staff access exclusively via zero-server Magic Links, cryptographic .psblueprint files, or Chrome Enterprise Policy.
Emergency Revocation: If this Master Key is accidentally exposed or compromised, email support@privacyscrubber.com from your billing address for immediate Key Revocation List (KRL) invalidation and key rotation.
End-to-End Zero-Trust Client Sanitization
PRO Workspace
Active
Key: PS-PRO-XXXX-XXXX
Overview & Workspace Stats
Real-time local privacy scanning performance inside this browser.
Chars Protected
0
Files Scanned
0
DLP Saved
$0.00
ZTDS Workspace Safety Score
Excellent
Safety score is based on local rule coverage, secure setting lock status, and offline database health.
100% Offline Operations
This workspace processing runs client-side in RAM. No keys, files, or sensitive prompts are ever transmitted or saved outside your local machine.
Custom Detection Rules
Define unlimited patterns for internal codes, project IDs, and proprietary formats unique to your workflow.
Unlimited Rules
Live Sandbox
Import/Export
Custom Detection Rules
Define custom patterns for proprietary formats, project codes, or custom names.
Add exact text, names, or custom patterns to catch domain-specific identifiers. Labels will appear as [LABEL_N].
Live Regex Sandbox
Active Rules
No rules added.
Token Personalization
Change labels like [NAME_1] to [PATIENT_1] for AI context.
Batch Document Center
Upload, queue, and process folders or batches of document files.
Batch Sanitization
Concurrently parse .txt, .docx, .csv, and PDFs. Local CPU handles rendering & parsing instantly.
DevSecOps Audit BETA
Recursively scan repositories for leaked API Keys, Cryptographic Keys, Intellectual Property, and PII. 100% offline.
Save Output Package
Saves all processed files back to your system, preserving layout formats and directory structures.
Offline Engines
Entirely private extraction engines. No files are ever sent to a server.
Local Image OCRWASM EngineExtract text from images right in your browser.
Offline PDFClient-side ParserParse text from PDFs without uploading them.
Choose how redacted text looks.
Select an industry-specific detection profile.
Entity Fine-Tuning
Toggle core PII categories detection.
100% Client-Side Processing
All engines run locally. Confirmed via zero network requests.
Settings Lock Password
Set a local password to lock your custom rules and active profiles against unauthorized changes on this computer.
Settings are Locked.
Enter your password to unlock editing for custom rules, detection profiles, and engines.
Configure New Lock
Settings Lock ActiveSettings and Custom Rules are locked
Local-Only Password
The lock password never leaves your browser. It prevents casual tampering with detection rules and profile settings on shared workstations.
License Details
License Key
—
Tier
PRO Individual
Recovery URL
Bookmark this URL to restore your PRO access on any browser or device.
Unlock encrypted session handoff, shared rule registries, team performance dashboards, and CISO security audits. Flat $99/mo — no per-seat pricing.
Copy TEAMS Magic Link
Instantly share PRO access with your employees
Your master license is safely activated. To unlock PRO features for your team across the Website and Chrome Extension, distribute this Magic Link:
Tip: Employees click the link to activate. No logins.
Keep this master link secure. Anybody with this URL can utilize your corporate TEAMS subscription.
Zero-Knowledge Session Handoff
XChaCha20-Poly1305 + Argon2id
Securely transfer volatile RAM token maps across devices and team members with end-to-end client encryption.
Cryptographic Zero-Server Guarantee
Payloads are encrypted in browser RAM using Argon2id key derivation and XChaCha20-Poly1305 AEAD. Zero server transmission.
TEAMS
Zero-Server Team Collaboration
Transfer live sanitization memory across analysts, prompt engineers, and legal reviewers without uploading tokens to any cloud database or central server.
This document certifies that the data sanitization operation was executed entirely client-side on the user's local machine. Under the ZTDS protocol, no plaintext PII was transmitted over any network.
Timestamp:2026-07-17T12:35Z
Session Hash:a4b9c1d3...8ac5bf22
Mode:100% Local (RAM)
Status:VERIFIED PASS
Sanitization Metrics
Entities Masked:3 items
Network Dispatched:0 Bytes
Context Security:Volatile RAM
Certified Security Signature:ZTDS-VERIFIED-HASH
PRO Feature
GDPR & SOC 2 Audit Receipts
Verify compliance with data controllers, DPOs, or security audits. Download a signed PDF certificate generated locally in your browser to prove that no prompt data left your network.
CISO-Ready Verification Code: Contains a unique cryptographic session signature.
Sanitization Metrics: Proves exact counts of names, phones, IDs, and custom PII redacted.
Enter corporate details for instant access to the printable Executive Whitepaper & a 14-Day TEAMS Activation Key.
Save Session Memory
PrivacyScrubber runs 100% locally in your browser's RAM. Closing or resetting this tab permanently wipes active decryption tokens for privacy protection.
Zero-Trust Session Backup
Download your encrypted session file (.pssession). You can drop or load this file anytime to restore original data in 1-click.
DevSecOps Audit Report
Zero-Trust Directory Scan Complete. 100% Offline.
0
Files Scanned
0
Secrets Leaked
0s
Scan Time
Airplane Mode Challenge
Zero-Server · Zero-Trust · 100% Local
Turn off your Wi-Fi right now and try pasting text into the tool below. It processes 100% in your local RAM without sending any network requests.
Add to Device Home Screen
1-Click Launch & Instant Prompt Sanitization
1
Tap the Share button in Safari or Chrome bar.
2
Scroll down and select Add to Home Screen.
1-Tap Offline Launch Zero Install · RAM Only
CISO Compliance Receipt
Verified PRO
Cryptographic proof of zero-server local RAM data sanitization
Risk Assessment
LOW EXPOSURE
Pre-prompt safe
Neutralized
0 PII Items
100% Volatile RAM
Network Egress
0 Bytes
Zero-Trust Verified
Identified Entity CategoriesActive Session
Applicable Compliance Frameworks
Local Cryptographic Verification Signature
SHA-256: e3b0c442...
Timestamp: Today
Redacted Document Inspection
Click badges to unmask false positives
100% Volatile RAM Preview — Zero Network Transmission
100%
Click any badge to unmask· Secure Flattening (Zero Hidden Text Layers)·Scroll to navigate · Ctrl+Scroll to zoom
