Managing Software Composition Analysis (SCA) in large-scale monorepos poses significant challenges due to the impracticality of scanning entire repositories during every CI/CD run, which can lead to sluggish pipelines and delayed releases. Incremental SCA scanning offers a solution by analyzing only the parts of the codebase that have changed, thus reducing scan times, lowering compute costs, and minimizing irrelevant security alerts. Various strategies, such as directory-based scoping, dependency lock file monitoring, and build system integration, can be employed to efficiently implement incremental scanning. This approach enhances developer experience by focusing on relevant vulnerabilities and improving the Software Bill of Materials (SBOM). Despite its advantages, incremental scanning requires careful setup to avoid missing critical vulnerabilities and to comply with security standards. Companies like Arnica offer tools to automate incremental SCA scans, providing real-time security insights without burdening CI/CD pipelines, making it essential for organizations managing large-scale monorepos to adopt smarter scanning methods for improved performance and security.