This security platform identifies code vulnerabilities and enhances product security by prioritizing active development and increasing license compliance. Their plugin system reduces test creation costs through auto-generated tests and readily available datasets, helping clients lower cybersecurity expenses.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams face increasing pressure to identify and remediate code vulnerabilities, manage open-source licenses, and comply with evolving cybersecurity regulations. Traditional methods often lack the speed and automation needed to address these challenges effectively, leading to increased risk and potential compliance issues.
Solution
CodeClarity is an open-source platform designed to provide rapid source code analysis, instantly revealing dependencies, licenses, and potential vulnerabilities. The platform integrates seamlessly with existing version control systems, offering visual clarity through intuitive charts and customizable analysis workflows. By extending security capabilities with plugins for dependency analysis, vulnerability scanning, patching, and license management, CodeClarity empowers development teams to secure their software and streamline compliance efforts.
Target Audience
CodeClarity is designed for software development teams, security engineers, and compliance officers seeking to enhance software security, manage open-source dependencies, and comply with cybersecurity regulations.
Features
- Seamless integration with version control systems such as GitHub and GitLab
- Comprehensive Software Bill of Materials (SBOM) generation with risk assessments for all dependencies
- Automated identification of open-source vulnerabilities with actionable guidance for remediation
- Streamlined patching process to quickly address vulnerabilities in the codebase
- License compliance management tools for policy creation and license overview
- Customizable analysis workflows through a flexible plugin system
- Intuitive charts and visualizations for understanding complex security findings