Technical Whitepaper & User Guide
API Key & Code Secret Stripper Technical Architecture Guide
Accidental leakage of API keys, AWS access tokens, GitHub PATs, and database credentials inside AI prompts is one of the highest corporate cyber risks. SafeAI Secret Stripper applies client-side regex signatures and Shannon entropy heuristics to detect and sanitize high-risk credentials before external transmission.
1. Entropy Analysis & Signature Matching Pipeline
SafeAI parses code and configuration snippets in local browser memory. By combining exact prefix matching (`sk-`, `AKIA`, `ghp_`) with mathematical entropy evaluation, it pinpoints high-randomness credentials and neutralizes them with `[REDACTED_KEY]` placeholders.
2. Supported Cloud Secret Signatures
| Provider | Key Format Signature | SafeAI Sanitization Action |
|---|---|---|
| OpenAI / Anthropic | sk-proj-*, sk-ant-* | Instant regex detection and placeholder replacement |
| Amazon Web Services | AKIA[0-9A-Z]{16}, Secret | Purges access keys and secret tokens completely |
| GitHub / GitLab | ghp_*, glpat-* | Detects Personal Access Tokens (PAT) |
| Database Connection Strings | postgres://, mongodb:// | Scrubs database passwords and internal hostnames |
3. Secret Management & Compliance FAQ
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Pre-Prompt Sanitization: Always route terminal logs and configs through SafeAI before sending queries to public LLM services.
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Zero Exposure: Once redacted, the AI model never receives the cryptographic material, preserving zero-trust architecture.
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Emergency Key Invalidation: If a secret was historically posted online, immediately revoke and rotate the credential.