Endor Labs vs Gitleaks
Endor Labs
endorlabs.comGitleaks
github.comSide by side
| Figure | Endor Labs | Gitleaks |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Secrets Scanning Software | 8.8 (#2) | 7.8 (#11) |
| Integrations | Documented integrations include GitHub, GitLab, Jenkins, Jira, Slack, Microsoft Defender for Cloud, Azure DevOps, Bitbucket, and cloud marketplaces. | The project documents use as a pre-commit hook and as a GitHub Action. |
Plans
In their own words
Endor Labs
Endor Labs is an application security platform spanning code, secrets, dependencies, container images and coding agents. AURI for Developers helps scan for vulnerabilities, detect secrets and block malicious dependencies in AI coding workflows. Endor Code provides AI SAST and secrets detection; Endor Open Source adds reachability-based SCA, malicious-package detection, AI model governance, and SBOM and VEX generation. The platform can inventory coding agents, models, MCP servers and skills, then enforce policies on agent actions. Integrations include GitHub, GitLab, Bitbucket, CircleCI, Jenkins, Jira, Slack, Vanta, Cursor, Claude, Gemini and GitHub Copilot. Scans can run through cloud apps, inside CI/CD runners or with Endor Outpost for scheduled monitoring and on-premises deployment. The company says cloud scanning briefly clones code into a container that is destroyed after scanning, while CI/CD scanning keeps code in the runner. The free Developer tier supports local scans and read-only vulnerability data, but has no UI, policies or scan history. Paid plans are seat-based and require contacting sales for pricing.
Gitleaks
Gitleaks is free, MIT-licensed software that detects secrets such as passwords, API keys, and tokens in Git repositories, files, and standard input. It runs on Linux, macOS, Windows, and self-hosted systems. Scans can target repositories, directories, individual files, or streamed data. Custom rules can use Go regular expressions, entropy checks, path matching, keywords, and allowlists. A previous report can serve as a baseline so later scans show only new findings. Output is available in JSON, CSV, JUnit, SARIF, or template formats. The project documents pre-commit hook and GitHub Action use, plus CI/CD, pull-request, and supported VCS workflows for GitHub, GitLab, Azure DevOps, Gitea, and Bitbucket. Installation options include Homebrew, Docker, Go, and prebuilt release binaries. A redaction option masks secrets in logs and standard output, with a default redaction value of 100%. The project describes itself as feature complete, with future releases limited to security patches, and its security policy supports only the latest version.