AI Engineering: Secure RAG & Agent Memory Streams
Chrome Extension

AI Engineering: Secure RAG & Agent Memory Streams

Stop PII from entering autonomous agent memory and RAG databases. Implement zero-trust DLP for Agentic AI workflows natively.

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

Zero-Trust Data Sanitization

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

Automated Detection Classes:
User / Server IP Addresses AWS_KEY INTERNAL_HOSTNAME MAC_ADDRESS VULN_ID
100% Client-Side Execution
Wasm_Engine
SIEM ALERT > Src IP: 192.168.12.44 → Dst: siem.internal.corp User: d.novak@corp.com | AWS Key: AKIA4X9M2PLRT887NNZZ CVE: CVE-2026-44821 | Severity: CRITICAL
SIEM ALERT > Src IP: [IP_1] → Dst: [HOSTNAME_1] User: [EMAIL_1] | AWS Key: [API_KEY_1] CVE: [CVE_1] | Severity: CRITICAL

AI Risk Calculator

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

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Autonomous agents and RAG systems accumulate PII across memory, tool calls, and vector indexes. PrivacyScrubber's native extension provides the critical sanitization layer for agentic workflows.

Native Agentic DLP

Multi-step agent loops compound privacy risks. Our extension allows engineers to protect PII at the interaction stage, ensuring the LLM call is always sanitized before it reaches the model. For more on creating AI Agent Security, explore our engineering docs.

Protecting RAG Databases

Preventing PII from entering securing agent pipelines requires an upstream redaction tool. Our extension masks sensitive entities locally, allowing you to build and test RAG pipelines with confidence. This aligns with the security benchmarks in our guide for log protection.

Verifiable Pipeline Privacy

By processing all redactions in the browser sandbox, you ensure that no PII ever persists in agent memory or vector stores. This alignment with prompt security principles means your AI infrastructure remains secure and compliant.

Latest Capabilities (v1.6.4): Multi-Line Stitching & Local OCR

PrivacyScrubber Chrome Extension v1.6.4 adds a smart 3-Line Name-Stitching Lookahead to capture names split across lines (e.g. Firstname MiddleInitial Surname) in scanned medical/clinical records, NDAs, and PDFs. It also supports Local Wasm OCR & PDF Sanitization to redact text from screenshots/PDFs offline, and Zero-Trust Session Sync (Argon2id + XChaCha20-Poly1305) to share rules peer-to-peer securely.

Enterprise Adoption Use Cases

CISO Security Team DLP 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 Engineering ENGINEERING 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 Lead COMPLIANCE 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 Officer GDPR 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.
Flat Rate — Unlimited Seats

Your Whole Team on Real Client Data. Safely. $99/mo Flat.

No per-seat pricing. No DPA negotiation. No IT portal. Secure your entire organization with client-side PII masking$99/month flat, unlimited users. SOC 2 & HIPAA ready. Works in Airplane Mode.

COMPLIANCE FAQ

Frequently Asked Questions

Common questions about deploying zero-trust AI for Chrome Extension Teams.