A ruggedization framework for security testing that is usable by developers, operations, and security teams.
Gauntlt is a ruggedization framework that enables security testing through a simple, readable syntax using attack files. It allows developers, operations, and security teams to integrate security checks into their workflows and CI/CD pipelines, making it easier to identify vulnerabilities early. The framework supports integration with popular security tools like Nmap and SQLMap, as well as custom commands.
Development, operations, and security professionals who need to incorporate automated security testing into their build processes and CI/CD pipelines.
Gauntlt provides a unified, human-readable interface for multiple security tools, lowering the barrier to entry for security testing and promoting collaboration between teams. Its extensible design and pipeline-friendly approach make it a practical choice for integrating security into DevOps practices.
a ruggedization framework that embodies the principle "be mean to your code"
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Uses Gherkin-based .attack files for behavior-driven security tests, making them accessible to devs, ops, and security pros as emphasized in the README.
Integrates with key security tools like Nmap, SQLMap, and SSLyze via attack adapters, allowing centralized automation of diverse vulnerability scans.
Designed for automated security testing in build pipelines, supporting ruggedization and early vulnerability detection as per the project philosophy.
Works with applications in any language since it only requires Ruby on the host, enabling testing across mixed tech stacks.
Each integrated security tool must be installed and configured separately, adding significant setup overhead as noted in the attack adapters section.
Requires Ruby 2.1.0+ on the host, which can be a barrier in non-Ruby environments, complicating installation as shown in the GET STARTED steps.
Focuses on test execution and output checking without advanced reporting features, necessitating additional tools for comprehensive vulnerability management.