The text discusses the increasing reliance on open-source, third-party components in software development and the associated risk of introducing security vulnerabilities, exemplified by incidents like Log4Shell and Dirty Pipe. To address these risks, the U.S. government has advocated for the adoption of a Software Bill of Materials (SBOM), which inventories software components, including third-party dependencies, as a means of enhancing software supply chain security. However, SBOMs have limitations, such as being difficult to query and lacking contextual information about whether vulnerabilities are actively exploited in production environments. Datadog Software Composition Analysis (SCA) seeks to augment SBOMs by providing runtime context, making them more informative, queryable, and linkable, thus facilitating more effective vulnerability management. SCA integrates with Datadog’s platform to surface vulnerabilities actively present in production, allowing for more targeted remediation efforts and keeping organizations compliant with regulatory frameworks.