# How Penthera compares > **Pro.** For "how does Penthera compare to the tool I use, and how do I run both?" Penthera is a free, offline, MIT-licensed security agent. Most teams that use it also use at least one of the tools below, and these pages are written for them: what each tool is for, where it goes further than Penthera, and how to run the two together. | Page | In one line | |---|---| | [Penthera and Socket](https://penthera.org/docs/compare/socket.md) | Socket watches the package registries; Penthera checks your app and your AI tooling on your machine | | [Penthera and Snyk](https://penthera.org/docs/compare/snyk.md) | Snyk brings curated vulnerability data across many languages; Penthera looks at behavior, the running app and agent config | | [Penthera and GitHub (Dependabot, code scanning)](https://penthera.org/docs/compare/github.md) | GitHub alerts on known CVEs and runs CodeQL; Penthera's SARIF lands in the same tab | | [Penthera and OWASP ZAP](https://penthera.org/docs/compare/zap.md) | ZAP is the deeper dynamic scanner; Penthera is a quicker first pass with source context | | [Penthera and Semgrep](https://penthera.org/docs/compare/semgrep.md) | Semgrep is the deeper static analyzer for your code; Penthera adds dependencies, the live app and AI tooling | | [Penthera and Cloudflare's security-audit skill](https://penthera.org/docs/compare/cloudflare-security-audit.md) | The skill has a model audit your code in depth; Penthera runs fast, repeatable checks, looks outside the source and verifies fixes | ## How these pages are written - Every claim about another product comes from that product's public docs or pricing page, linked inline. Anything we could not confirm is left out. - Each page names where the other tool goes further. Most of them go further than Penthera somewhere. - Prices and plans change. Each page has a last-checked date. Check the vendor's page before you rely on a number. - No page claims Penthera finds more than another tool. Its own accuracy is measured only on labs we wrote ourselves: precision 0.88 (95% CI 0.69 to 0.96) and recall 0.91 (95% CI 0.73 to 0.98) on 24 findings ([results](https://github.com/danoszz/penthera/blob/main/bench/RESULTS.md)). Accuracy on real projects is not measured yet. That is [experiment E1](https://github.com/danoszz/penthera/blob/main/docs/research/prereg/E1-real-world-accuracy.md). Spotted something wrong or out of date? Please open an issue or a pull request.