Compare OpenText Static Application Security Testing vs. Checkov

OpenText Static Application Security Testing

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Checkov

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What is OpenText Static Application Security Testing?

OpenText Static Application Security Testing (Fortify) is a leading solution that empowers development teams to detect, prioritize, and remediate security vulnerabilities directly in source code with high accuracy and efficiency. Supporting over 33 programming languages and frameworks including Java, C#, Python, JavaScript, and more, it enables comprehensive application security coverage across diverse environments. Seamless integration with major CI/CD tools such as Jenkins, Jira, Azure DevOps, and Visual Studio allows security to be embedded within the software development lifecycle, promoting shift-left practices. The platform leverages advanced static code analysis and AI-powered insights to prioritize critical risks and reduce false positives by up to 95%, accelerating remediation efforts. Customizable scan depths and rules let teams balance speed and thoroughness to fit project requirements. OpenText SAST adheres to industry standards like OWASP 1.2b, ensuring compliance and robust security posture. Flexible deployment models—including SaaS, private cloud on platforms like AWS and Azure, and on-premises—allow organizations to choose the optimal environment for scalability and control. The platform is continuously updated by the industry-leading Software Security Research team, providing the latest vulnerability intelligence. User testimonials highlight its effectiveness in improving code quality and reducing manual review workload. Overall, OpenText SAST enhances developer productivity, reduces security risks, and supports secure, rapid software delivery.

What is Checkov?

Ensure that modifications are validated across a variety of resource types supported by major cloud service providers. During the build phase, utilize a simple Python policy-as-code framework to conduct scans of cloud resources aimed at identifying any misconfigurations. Leverage Checkov’s graph-oriented YAML policies to investigate the interconnections among cloud resources. Within the specific context of a repository's CI/CD processes and version control systems, execute, test, and fine-tune runner parameters. Tailor Checkov to develop your own distinct policies, providers, and suppression terms that align with your needs. By integrating this validation process into the developers' existing workflows, you can effectively prevent the deployment of misconfigurations. Enable automated comments on pull or merge requests in your repositories, thereby negating the necessity for establishing a CI pipeline or conducting periodic checks. The Bridgecrew platform is designed to automatically assess new pull requests, offering feedback that points out any policy violations it detects, which is crucial for maintaining continuous compliance and enhancing security within your cloud infrastructure. This proactive methodology significantly contributes to upholding best practices while simultaneously fortifying the overall security framework of your cloud environment. Regularly reviewing and refining these practices will ensure long-term resilience against potential vulnerabilities.