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

Short answer

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. SMB and mid-market development teams with CI/CD pipelines across multiple cloud providers will see immediate payoff from Secrets Scanner because its 700+ detectors actually catch the credential types you use, not generic patterns. The AI-based false positive filtering matters here; most teams disable secret scanning after weeks of noise, but ZeroPath's ML reduces alert fatigue enough that your engineers will actually remediate findings. Skip this if you need secrets management and rotation handled within the same platform; Secrets Scanner detects and guides remediation, but doesn't become your credential vault.