Scrub API Keys, Bearers & Emails from Server Logs Before Sharing

Sanitize stack traces, JSON logs, and debugging dumps by automatically masking OpenAI keys, AWS secrets, JWTs, IPs, and customer emails locally.

Step-by-Step Client-Side Workflow

1. Paste Server Log or Stack Trace: Drop raw production error logs or JSON payloads into the workspace.
2. Auto-Mask Secrets & IPs: Built-in patterns catch `sk-...` keys, Bearer tokens, IPv4 addresses, emails, and custom secret strings.
3. Share Clean Debug Output: Copy the sanitized log safely into GitHub issues, Slack, or AI coding assistants.

Why Use VaultTools Zero-Upload Architecture

• Prevent Training Data Leaks: Ensure customer emails, production IPs, and secret keys never enter third-party LLM context windows or telemetry logs.
• Preserves Code & Log Structure: Because identical values map to the same token ([IP_ADDR_1]), the AI can still debug multi-line logs and write working scripts.
• Reversible Round-Trip Workflow: No manual find-and-replace required when copying the AI solution back into your codebase.

Frequently Asked Questions

Can I add custom company project names or internal hostnames to mask?

Yes! Add comma-separated custom terms in the Custom Sensitive Terms box to tokenize internal codenames or client domains alongside standard PII.

Why shouldn’t I paste raw production logs or emails into ChatGPT?

Raw logs and emails often contain bearer tokens, customer PII, internal IP addresses, and proprietary client names. Exposing them to external AI APIs can violate GDPR, SOC2, and client NDAs.

How does the Reversible De-Anonymizer work?

VaultTools keeps a temporary lookup dictionary strictly in your browser memory (e.g. [EMAIL_1] = sarah@acme.com). When you paste the AI’s reply, it replaces every token with the original string locally.