Datadog Code Security vs HackerOne Code: Side-by-Side Comparison (2026)

Datadog Code Security

Teams already deep in the Datadog observability platform should adopt Datadog Code Security to shift left without context switching; the IDE plugins and CI/CD integration work because they're built into an environment your developers already use daily. The SAST, SCA, and secret scanning cover the NIST ID.RA and PR.PS functions most teams actually care about, and native integration with your APM data means you catch vulnerabilities that static analysis alone would miss. Skip this if you need IAST and IaC scanning to be first-class citizens rather than supplementary features, or if your stack is fragmented across multiple vendors where a standalone SAST tool would be simpler to operate.

HackerOne Code

Development teams drowning in SAST noise should pick HackerOne Code for its AI-powered triage that actually separates exploitable vulnerabilities from false positives by reasoning about your code's context and architecture. The platform combines SAST and SCA with human-in-the-loop validation for critical issues, cutting through the 80 percent of alerts most teams ignore. Skip this if your codebase is predominantly legacy mainframe or COBOL; HackerOne Code prioritizes modern languages and CI/CD integration where its fix generation and continuous learning from team feedback actually compound value over time.