Version updated for https://github.com/saddledata/pii-hound to version v0.1.9. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary pii-hound is a high-performance tool designed to detect unprotected Personally Identifiable Information (PII) and developer secrets in databases, cloud storage, and files. It automates the identification of sensitive data using heuristic matching, regex sampling, and custom detection rules, offering integration with CI/CD pipelines and GitHub for proactive risk mitigation. Its capabilities include multi-source support, configurable scanning, machine-readable outputs, and high-speed processing for large datasets.

Version updated for https://github.com/saddledata/pii-hound to version v0.1.8. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary pii-hound is a high-performance CLI tool designed to detect unprotected Personally Identifiable Information (PII) and Developer Secrets across databases, cloud storage, and local files. By using heuristic matching, regex sampling, and custom rules, it automates risk identification to prevent data breaches, supports integration with CI/CD pipelines, and offers compatibility with various data sources and formats. Its key capabilities include lightning-fast scanning, configurable policies, secrets detection, and machine-readable outputs for security monitoring and compliance.

Version updated for https://github.com/saddledata/pii-hound to version v0.1.7. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary pii-hound is a high-performance GitHub Action and CLI tool designed to detect and flag unprotected Personally Identifiable Information (PII) and developer secrets in databases, cloud storage, and files. It automates the identification of sensitive data using heuristic matching, regex sampling, and custom rules, helping organizations mitigate data security risks and prevent unauthorized exposure. Key capabilities include multi-source scanning, secrets detection, CI/CD integration for blocking risky deployments, and generating machine-readable reports compatible with GitHub’s Security tab.