Integration and Deployment Models

DAST deployment flexibility stands as a key advantage. Scanners can run from anywhere with network access to target applications. Cloud-based DAST services scan internet-facing applications without infrastructure requirements. On-premises scanners test internal applications behind firewalls. This flexibility enables various deployment models: scheduled scans, continuous monitoring, or on-demand testing.

IAST deployment requires tighter integration with application infrastructure. Agent-based deployments modify application startup parameters or runtime environments. SDK-based approaches require code changes to include IAST libraries. Container deployments might use modified base images with pre-installed agents. Each approach requires specific implementation steps based on technology stack and deployment model.

Modern DevOps practices influence both deployment approaches. DAST increasingly runs in containerized environments as part of CI/CD pipelines. IAST agents deploy through infrastructure-as-code alongside applications. Both tools adapt to ephemeral environments, though IAST's tighter integration requires more sophisticated orchestration.