Technology Stack Considerations

Different technology stacks benefit from different tool combinations and integration patterns. Modern microservices architectures might emphasize SAST for individual service analysis, IAST for integration testing, and DAST for end-to-end validation. Legacy monolithic applications could focus on DAST for black-box testing supplemented by targeted SAST for new development. API-heavy architectures require specialized approaches from each tool to ensure comprehensive coverage.

Language and framework choices influence tool effectiveness and integration options. Strongly-typed compiled languages like Java and C# typically enjoy excellent SAST support with lower false positive rates. Dynamic languages might see better results from IAST's runtime analysis. Modern JavaScript frameworks challenge all tools with their dynamic nature and client-side execution. Understand how your technology choices impact each tool's effectiveness to optimize deployment strategies.

Container and cloud-native deployments create new integration opportunities. Containerized applications simplify tool deployment—base images can include IAST agents, CI/CD pipelines can spin up DAST scanners on demand, and SAST can analyze both custom code and container definitions. Kubernetes environments enable sophisticated orchestration where security testing scales with application deployments. Leverage these architectural patterns to simplify tool integration and maintenance.