Bearer vs GitHub Secret Scanning

Bearer CLI is a free static application security testing tool for Linux and macOS. It scans source code and analyzes data flows to identify security and privacy risks while analyzing code patterns instead of viewing actual data values. The tool supports more than 120 sensitive data types, including personal data, PII, and PHI. Privacy reports can show sensitive data, related data subjects, and internal or third-party components that process it, with information useful for GDPR records of processing activities. Security features include SAST rules and a separate hard-coded-secrets scanner. Bearer documents pull-request and CI/CD use with GitHub Actions, GitLab CI/CD, and CircleCI, plus custom security rules. Listed stacks include Go, Python, PHP, JavaScript, TypeScript, Ruby, and Java. Installation options include scripts, Homebrew, Linux package managers, Docker, and binaries. macOS 12 or later and Git 2.34 or later are required.

GitHub Secret Scanning detects exposed credentials so they can be secured before exploitation. It scans every branch in Git history, plus issue and pull request content, discussions, wikis, and secret gists. Detected leaks produce repository alerts with details about the credential, while push protection can block secrets before they enter code. Organizations can define regular expressions for their own secret formats. Generic patterns cover items such as private keys, connection strings, and API keys, and AI detection can identify unstructured secrets such as passwords. Validity checks may contact issuing services to see whether credentials remain active. GitHub can work with providers to validate findings and notify them for actions such as revocation. Scanning is automatic and free for public repositories. Private and internal organization repositories require Secret Protection on GitHub Team or Enterprise Cloud; Enterprise Server supports user-owned repositories with that protection. It is available through API, web, and self-hosted deployment, with hybrid deployment.