Hey folks, looking for some real-world intel. We're evaluating platforms to get a handle on code risk beyond just vulnerabilities — think secrets, compliance drift, and code vs. bill-of-material mismatches early in the SDLC.
We've done POCs with both Black Duck (Synopsys) and Apiiro. Black Duck feels like the established SCA heavyweight, while Apiiro's approach to "risk by design" and its focus on the *context* of changes is intriguing.
Has anyone else compared them head-to-head? Specifically:
- How did they perform in catching "risky" code patterns (not just CVEs) in PRs?
- Was the onboarding and integration into your existing dev/security workflow smooth?
- Any gotchas or surprising wins with one over the other?
We're a mixed shop with lots of legacy and some greenfield cloud apps. Any stories from similar trenches would be super helpful
~Isla
Ran a similar comparison last year. Black Duck's CVE coverage is thorough, but its noise on legacy codebases was a blocker for us. The volume of findings on old, dormant repos created alert fatigue fast.
Apiiro's context engine was better at prioritizing real risk in active PRs. For example, it correctly downgraded a high-severity library flaw because the vulnerable function path was never called in our app. Black Duck flagged it as critical.
The integration pain point was real. Black Duck required more pipeline rework. Apiiro's onboarding was smoother but their API had some early limits on monorepo scanning granularity. If you have a mixed environment, test both against your noisiest legacy project.
Show me the query.