List of the Top 3 Dynamic Application Security Testing (DAST) Software for SQUAD1 in 2026

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.

OpenText Dynamic Application Security Testing (DAST) is a cutting-edge, automated security testing platform that enables organizations to continuously assess live web applications, APIs, and services for exploitable vulnerabilities by simulating real-world attack scenarios. This solution operates directly on production or live environments without requiring source code or a staging setup, making it highly practical for fast-paced DevSecOps teams. It leverages advanced automation including macro generation and redundant page detection to reduce manual effort and enhance scan efficiency. The platform integrates seamlessly into CI/CD pipelines using REST APIs and provides an intuitive user interface for manual and automated test management. By tuning scans to specific application environments, OpenText DAST accelerates vulnerability detection and reduces false positives, helping teams focus on the most critical risks early in the development lifecycle. It covers a broad spectrum of modern web technologies such as HTML5, JSON, AJAX, JavaScript, and HTTP2 to ensure comprehensive testing of complex digital applications. Flexible deployment models include multi-tenant SaaS on public cloud, single-tenant private cloud, or on-premises, allowing organizations to align with their infrastructure and security policies. Enhanced scalability supports horizontal scaling for extensive testing needs, and client-side software composition analysis (SCA) improves detection accuracy. Organizations benefit from expert professional services to optimize deployment and maximize security outcomes. Overall, OpenText DAST empowers teams to safeguard software supply chains, improve application integrity, and accelerate secure software delivery.

Tenable One delivers an innovative solution that integrates security visibility, insights, and actions across the entire attack surface, enabling modern organizations to pinpoint and mitigate critical cyber threats across IT infrastructures, cloud environments, crucial infrastructures, and more. It is the only AI-powered platform available for exposure management in today’s marketplace. With Tenable's sophisticated vulnerability management sensors, users can achieve a thorough understanding of every asset within their attack surface, encompassing cloud systems, operational technologies, infrastructure, containers, remote workforce, and contemporary web applications. By examining over 20 trillion elements associated with threats, vulnerabilities, misconfigurations, and asset data, Tenable’s machine learning technology enhances remediation efforts by prioritizing the most pressing risks efficiently. This targeted strategy promotes essential improvements that reduce the chances of severe cyber incidents while also delivering clear and objective evaluations of risk levels. In a digital landscape that is constantly changing, having such detailed visibility and predictive capabilities is crucial for protecting organizational assets. Furthermore, Tenable One’s ability to adapt to emerging threats ensures that organizations remain resilient in the face of evolving cyber challenges.