Stop leaking secrets to public AI models.
ScrubBeforeAI automatically detects API keys, database URLs, passwords, email addresses, and IPs from your code and logs before you paste them into AI assistants.
Quick Start Onboarding Guide
Paste your raw logs or code containing secrets in the left panel and click Redact (or press `Ctrl+Enter`).
Copy the redacted output with secure placeholders (e.g. `[SCRUB_EMAIL_1]`) and paste it into ChatGPT/Claude.
When you receive the answer from the AI, copy and paste it into the **Un-Redact** panel (right side or tab).
Click Restore to instantly replace placeholders back with your original secrets. Done completely locally!
100% Client-Side Privacy
All scanning runs locally in your browser. Zero text leaves your machine. No servers, no APIs, no leaks.
Two-Way Redaction
Placeholder tokens are saved to a temporary in-memory session. Paste the AI response back to restore your actual secrets.
Zero Install Friction
No Chrome extensions, no signup walls, and no software installations. Instantly works in corporate-managed workstations.
Raw Input
0 B / 1.9 MBRedacted Text
Ready to Sanitize
Paste your raw text into the input area above and click Redact Secrets.
Deep Dive: Securing Developer Prompts & Sanitizing Sensitive Log Data
When modern developers copy-paste error logs, environment configurations, and stack traces into generative AI assistants like ChatGPT, Claude, or Gemini to troubleshoot complex software bugs, they often expose sensitive corporate credentials. Without realizing it, team members regularly transmit database connection strings, authentication tokens, customer emails, IP addresses, and private encryption keys. This pattern of secret leakage represents one of the largest vectors for security breaches in modern engineering organizations. Having hardcoded secrets in logs is bad enough; transmitting them directly to third-party databases is a major security risk that can lead to compliance violations and catastrophic data breaches.
To address this, developers need a robust strategy for data loss prevention for ai. The core challenge is learning how to sanitize logs and remove api key from stack trace outputs before they are processed by external tools. Manually scanning thousands of lines of terminal output is slow and error-prone, which is why a dedicated log anonymizer and data anonymizer tool like ScrubBeforeAI is essential. By placing a local client-side boundary between your raw workspace data and public AI services, you can securely paste code into chatgpt safely and prevent data leak in chatgpt and other environments.
Why You Must Sanitize Code Before LLM Interactions
Large Language Models (LLMs) learn from the prompts sent to them. When you send unredacted logs, you run the risk of llm data leakage, where your proprietary business logic, cloud hostnames, or API keys are absorbed into public training sets or viewed by human moderators. Therefore, it is critical to sanitize code before llm submittal.
Standard methods like a local log redaction script can be hard to distribute across engineering teams, and a browser-based chatgpt data masking extension is often blocked by corporate IT security policies due to excessive browser permissions. ScrubBeforeAI provides an elegant, zero-install alternative that serves as a virtual log privacy proxy. It functions as a secure client-side log scrubber that runs 100% inside your browser session, requiring no backend servers or database integrations.
Client-Side Data Masking: How ScrubBeforeAI Works
To successfully redact pii from logs and safely understand how to redact aws keys, ScrubBeforeAI uses an intelligent client side data masking engine. The system scans text locally for common secret patterns (such as AWS access/secret keys, GCP tokens, private keys, database URLs, and credit card numbers) and swaps them out with standardized, incremented placeholders (e.g., [SCRUB_EMAIL_1]).
But sanitizing is only half the battle. If your prompt is redacted, the AI’s response will refer to those placeholder values. This is where ScrubBeforeAI excels compared to regular tools. It maintains a secure, session-only reversal map in browser memory. When you copy the AI's response and paste it into the "Un-Redact" panel, the engine automatically replaces the placeholders with your original secrets. This ensures you can seamlessly read and implement code suggestions without ever exposing your real credentials.
Implementing ai guardrails data redaction has never been simpler. By integrating ScrubBeforeAI into your daily workflow, you protect your company from security exposure, maintain strict compliance standards (GDPR, SOC2, HIPAA), and harness the full power of AI safely and efficiently.
Frequently Asked Questions (FAQ)
How does ScrubBeforeAI hide API keys from ChatGPT?
ScrubBeforeAI replaces your raw API keys and secrets with safe, local placeholders (like [SCRUB_KEY_1]) before you copy them. After ChatGPT processes the prompt, you simply paste the response back into our tool to restore the original keys locally, keeping them completely hidden from ChatGPT's history.
How do I sanitize code before pasting to ChatGPT?
You can sanitize code by pasting it into ScrubBeforeAI first. The tool scans your code client-side using JavaScript RegExp and swaps out credentials, connection strings, and server endpoints for numbered placeholders, ensuring your raw code is safe before pasting to ChatGPT.
How does ScrubBeforeAI remove secrets from a stack trace?
ScrubBeforeAI analyzes stack traces and logs to identify database connection URIs, access tokens, and environment variables. It removes these secrets from the stack trace and replaces them with standardized tags, preserving the debugging context while protecting your infrastructure credentials.
How can I avoid sensitive data being part of LLM training data?
The best way to avoid sensitive data being part of LLM training datasets is to mask it before sending it. ScrubBeforeAI replaces real credentials and PII with placeholder tokens locally in your browser. Since the actual values never leave your machine, they can never be uploaded or ingested into LLM training logs.
How do I remove sensitive info from logs before ChatGPT?
Paste your application logs into the ScrubBeforeAI redact panel. The tool automatically detects sensitive fields—such as emails, tokens, environment variables, and passwords—and replaces them with secure tags, allowing you to debug logs in ChatGPT securely.
How does ScrubBeforeAI scrub logs of PII locally?
All text parsing and redaction in ScrubBeforeAI is performed locally inside your browser's sandboxed context using native Web RegExp. No text is ever uploaded to a server, providing a 100% private and secure way to scrub logs of PII locally.
How can I anonymize code for ChatGPT?
You can anonymize code for ChatGPT by replacing sensitive parameters and tokens with matching placeholder tags. ScrubBeforeAI automates this by providing a dual-panel interface to redact code snippets before pasting, and reverse-map the AI's output back to its original form afterwards.
Is ScrubBeforeAI a secure client-side tool to redact logs for LLMs?
Yes, ScrubBeforeAI is a completely private, serverless web utility designed to redact logs for LLMs. It is built with Astro and React, runs entirely client-side, and operates inside a local sandbox in your web browser.
How does ScrubBeforeAI help in stopping GenAI data leaks at work?
ScrubBeforeAI helps in stopping GenAI data leaks at work by providing developers with a frictionless, client-side boundary to sanitize prompts before they reach public AI services. It acts as an instant local privacy boundary to prevent key leakages and compliance violations.
Does ScrubBeforeAI perform local PII detection in the browser?
Yes, ScrubBeforeAI performs local PII detection in the browser. Using local regex libraries, it identifies IP addresses, emails, credit card details, and credentials directly in memory, showing you exactly what sensitive data was caught via interactive UI toggles.
How does this client-side text redaction tool protect my data?
As a client-side text redaction tool, ScrubBeforeAI stores the mapping between original values and placeholders in temporary sessionStorage and in-memory React state. Because there is no backend server or database, your sensitive data never leaves your local browser session.
Is it safe to paste code into ChatGPT?
It is generally unsafe to paste raw code into ChatGPT if it contains proprietary secrets or credentials, as standard chat history may be reviewed by human moderators or utilized for AI model training. It is only safe if you first sanitize your code of credentials and sensitive URLs.
How does ScrubBeforeAI address ChatGPT data privacy for code?
ScrubBeforeAI addresses ChatGPT data privacy for code by ensuring that ChatGPT never receives your real API keys, passwords, or IP addresses. Instead, ChatGPT only sees the placeholder tokens, preserving your privacy regardless of ChatGPT's data retention policies.
How do I prevent leaking credentials to AI models?
To prevent leaking credentials to AI models, you should run your code and configurations through ScrubBeforeAI's local scanner. The tool filters out AWS keys, GCP keys, passwords, and private tokens, replacing them with secure placeholders.
How does ScrubBeforeAI mask sensitive data for LLMs?
ScrubBeforeAI masks sensitive data for LLMs by replacing it with customized, numbered placeholders. Once the LLM generates a response using those placeholders, our un-redact panel maps the placeholders back to your original secrets locally in one click.