I would like to understand the leading Software Composition Analysis (SCA) tools that organizations use to identify, analyze, and manage open-source dependencies, vulnerabilities, and license risks across modern applications. Which platforms—such as Snyk Open Source, Black Duck, Mend (WhiteSource), Sonatype Lifecycle, FOSSA, GitHub Dependency Review, OWASP Dependency-Check, Checkmarx SCA, Anchore, and JFrog Xray—are most widely adopted by DevSecOps, security, and development teams? What key factors like vulnerability database coverage, dependency detection accuracy, license compliance management, CI/CD integration, SBOM support, and scalability should be considered when evaluating these tools? SCA solutions help organizations reduce software supply chain risks, ensure compliance, and detect insecure dependencies early in the development lifecycle. Additionally, how do modern cloud-native and AI-driven SCA platforms compare with traditional dependency scanning tools in terms of automation, risk prioritization, and developer productivity?