Datadog Code Security Secret Scanning vs Semgrep Secrets: Side-by-Side Comparison (2026)

Datadog Code Security Secret Scanning

Teams already running Datadog observability will see immediate payoff from Code Security Secret Scanning because it catches exposed credentials before they leave your repos and gives you runtime confirmation when secrets actually get used in production. The tool covers three NIST CSF 2.0 functions,Risk Assessment, Data Security, and Platform Security,which means it closes gaps at detection and enforcement, not just inventory. Skip this if you need a standalone SAST tool divorced from observability data; Datadog's strength here is correlating secret exposure with real runtime behavior, which only matters if you're already invested in their platform.

Semgrep Secrets

Developers and security teams shipping code at startup to mid-market velocity should adopt Semgrep Secrets to catch hardcoded credentials before they reach Git history; the semantic analysis engine validates findings against actual service APIs rather than relying on regex alone, cutting false positives that tank adoption. Hybrid deployment means secrets never leave your infrastructure during validation, directly supporting ID.RA risk assessment without adding external dependencies. Skip this if your priority is post-breach secret rotation or you already have a mature secrets scanning workflow embedded across all CI/CD systems; Semgrep excels at shift-left prevention, not remediation at scale.