Advanced PII Detection & Zero-Trust Scanning
Autonomous Inference Protection: Secure Your Data Before the AI Sees It
The Problem
Legacy DLP (Data Loss Prevention) systems rely on cloud-based API checks. This creates a paradox: to protect your data, you must first send it to another server. For HIPAA and SOC 2 compliance, this 'Middleman Risk' is often a deal-breaker for adopting Generative AI tools like ChatGPT or Claude.
How It Works
Ingest Content
Paste text or drop files directly into the browser. Data is held in volatile RAM only.
Local Analysis
Native ECMAScript Regex matrices scan for patterns in parallel processing lanes.
Tokenize
Sensitive strings are swapped for unique, context-preserving tokens like [NAME_1].
How This Feature Improved Workflows
Try Local Smart PII Scanning
Select a workflow template below or input custom text to watch the browser-side NLP & Regex parser anonymize sensitive data instantly.
Real-World Use Cases: 5 Critical Scenarios
1. Customer Support & CRM Tickets
Use Case: Sanitizing incoming help desk emails containing names, emails, and order IDs before analysis in ChatGPT to resolve client issues without violating privacy policies.
2. HIPAA Medical Intake Analysis
Use Case: Masking patient names, birthdays, and Medical Record Numbers (MRNs) from doctor notes before using LLMs to format summaries or compile diagnostic suggestions.
3. DevOps Logs & Stack Trace Debugging
Use Case: Stripping active IP addresses, DB credentials, and bearer tokens from server traces prior to asking AI assistants to diagnose runtime failures.
4. HR Blind Screening & Bias Minimization
Use Case: Scrubber-driven removal of gender, name, location, and graduation dates from resume datasets to enable objective candidate grading by recruitment agents.
5. NDA Legal Contract Scans
Use Case: Hiding signatory names, transaction values, and addresses in legal briefs so corporate attorneys can review clauses in Claude without breaching NDA conditions.
PrivacyScrubber Mode: Proprietary Multi-Library Detection
At the core of our platform lies PrivacyScrubber Mode, a proprietary client-side technology designed for highly-efficient detection across dozens of industry-specific profiles and libraries. Running 100% locally in your browser's RAM, this zero-trust engine processes text and files in parallel execution lanes, achieving a calibrated 99.9% detection accuracy rate with zero server dependency and zero data leakage.
Premium Privacy. Zero Recurring Debt.
Choose the layer that fits your workflow. All processing is hardware-accelerated and 100% local.
Feature Reliability & Audit
This enterprise feature is powered by our Local-First Sanitization Engine. Unlike legacy cloud DLP tools, PrivacyScrubber processes your Advanced PII Detection & Zero-Trust Scanning logic 100% within your browser's V8 sandbox. This architectural decision ensures that even the most complex detection patterns never expose raw data to an external API.
Airplane Mode
Verified feature operational integrity without network connectivity.
Frequently Asked Questions
How can I be sure my data isn't being sent to your servers?
PrivacyScrubber is built on the Zero-Trust Data Sanitization (ZTDS) standard. You can verify this by opening your browser's Network Inspector or simply by disconnecting your internet (Airplane Mode) after the page loads. The detection engine is 100% self-contained.
What entity types can you detect?
Out of the box, we detect Names, Emails, Phone Numbers, Credit Cards, SSNs, IP Addresses, JWT Tokens, AWS Keys, and physical addresses. PRO users can add custom Regular Expressions for proprietary formats.
Does it work with structured data like CSV?
Yes. The scanner preserves formatting and column structures, making it ideal for redacting sensitive customer lists or financial ledgers before analysis.
Experience Zero-Trust AI Privacy Free
Try PrivacyScrubber NowNo account needed. Works 100% offline.