sensitive-info-scanner

To scan a repository for API keys and sensitive information, you can trigger a secret scan on your current directory to automatically detect credentials and PII using semantic analysis. This prevents accidental data leaks by checking contextual clues before you push code.

Semantic analysis detects secrets by understanding code context rather than relying solely on simple pattern matching. It identifies sensitive information by analyzing variable names, file names, string patterns, and contextual clues for higher accuracy in confidentiality checks.

Yes, you can run a sensitive data detection scan on any directory. The tool utilizes a multi-phase workflow that includes scope confirmation and file prioritization to systematically identify PII and credentials within your specified repository structure.

The best way to check code for PII and credentials is to perform a comprehensive security scan using semantic analysis. This approach evaluates variable names and file context to ensure no sensitive user data is accidentally included in your project.

A secrets scan can identify various types of sensitive information in your codebase, including API keys, credentials, and Personally Identifiable Information (PII). It detects these secrets through comprehensive semantic analysis of string patterns and contextual clues.

You should use semantic analysis for a security scan because it goes beyond basic string search to understand code context. This higher accuracy method identifies sensitive data via variable names and contextual clues, preventing accidental leaks of credentials and PII.