Zero-Trust AI for Developers

Sanitize Logs & Secrets
Before AI Debugging.

Prevent credential leakage in LLM training and logs. Mask API keys, auth tokens, and production PII locally before using ChatGPT or Claude for troubleshooting. No data ever leaves your browser.

Get Started Free Log Scrubbing Guide

Optimized for Engineering Workflows

AWS / GCP / Azure Kubernetes / Docker Jenkins / Slack Datadog / Sentry PostgreSQL / Redis

The Modern DevOps Dilemma

API Key & Secret Leakage

Pasting code snippets with embedded AWS keys, Stripe tokens, or internal credentials into cloud LLMs creates a massive security perimeter breach.

Production PII in Stack Traces

Server logs often contain emails, IP addresses, and session IDs. Using AI for debugging without sanitization risks exposing production data to 3rd party model providers.

Internal Infrastructure Recon

Internal hostnames and architecture details in AI prompts can be used to reconstruct your network topology if the AI vendor's training data is breached.

AWS_SECRET_KEY="AKIA..."

AWS_SECRET_KEY="[ID_1]"

CREDENTIAL EXPOSURE PREVENTED

Secure Engineering Workflow

Maintain dev velocity without compromising production security

01

Paste Snippets

Copy log outputs, code blocks, or terminal stack traces into the local sandbox.

02

Auto-Mask Secrets

PrivacyScrubber identifies and replaces high-entropy keys and IPs with secure tokens locally.

03

AI Analysis

Submit the sanitized text to any LLM. No sensitive credentials ever leave your browser.

04

Apply Suggested Fix

Implement the AI-suggested fix in your codebase with your real credentials preserved.

DevSecOps-Grade Compliance

Engineered for the strict security requirements of modern engineering teams.

SOC 2

Confidentiality

Prevents unauthorized external PII storage via zero-server architecture

ISO 27001

A.8.11 Data Masking

Satisfies rigorous data-at-rest and data-in-transit masking controls

CCPA

CPRA Rights

Ensuring IP addresses and identifiers don't persist on third-party AI servers

GDPR

Article 32

Applying pseudonymization techniques to developer logs locally

Vetting PrivacyScrubber for DevOps

How does PrivacyScrubber detect API keys and secrets?
Our engine uses a combination of high-entropy string detection, known API key prefixes (like `sk_live_`, `AKIA`), and specialized regex logic for JWTs and auth tokens. You can also define custom regex rules for your company's proprietary service identifiers.
Is my source code sent to your servers for processing?
No. PrivacyScrubber is 100% client-side. The entire redaction engine runs inside your browser using Vanilla JS. We have no backend, no databases, and no logs. You can verify this by checking the Network tab of your browser or running the tool in airplane mode.
What is the performance impact on large log files?
The engine is highly optimized for performance. It can process several megabytes of text in milliseconds by leveraging efficient regex execution and non-overlapping match logic. It is designed to sustain high-speed debugging workflows.

Deploy Secure Engineering AI Today

Maintain velocity, prevent credential leakage, and leverage AI for code excellence.

GET STARTED — $9.99 ONE-TIME