Datadog SCA is a software composition analysis tool that helps teams understand their software's dependencies and the security implications of using open source code. It uses both static analysis and runtime analysis to monitor for vulnerabilities throughout the code's lifecycle, providing efficient, end-to-end vulnerability detection and management. The tool uses frameworks such as the Common Vulnerability Scoring System (CVSS) and the Exploit Prediction Scoring System (EPSS) to prioritize remediation efforts, and provides clear steps for remediating detected vulnerabilities. Additionally, Datadog SCA's source code integration helps detect vulnerabilities early in the development cycle, while its service integration adds a layer of protection by observing running services and providing visibility into impacted infrastructure. The tool also offers Quality Gates to manage the risk of new and existing vulnerabilities without slowing down development cadence. By incorporating severity and risk scores, threat activity data, and runtime context, Datadog SCA gives teams complete visibility into each vulnerability's impact on their services, enabling them to focus remediation efforts effectively.