# Checkmarx SCA alternatives: what AI models name instead, October 2026

IT AI Recommendation Index, October 2026 Edition. 239 of the 252 answers in the 1 category where Checkmarx SCA holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://it-ai-index.com/vendors/checkmarx-sca/alternatives/

## Named instead, most often (every category and segment added)

- Snyk Open Source: 55
- Trivy: 34
- OWASP Dependency-Check: 16
- Sonatype Lifecycle: 16
- Mend.io: 14
- GitHub Dependabot: 11

## Software composition analysis

**Small business**: 84 of 84 answers did not name Checkmarx SCA.

- Snyk Open Source: first choice in 39 of those 84
- Trivy: first choice in 13 of those 84
- OWASP Dependency-Check: first choice in 12 of those 84
- GitHub Dependabot: first choice in 7 of those 84
- Aikido Security: first choice in 6 of those 84
- FOSSA: first choice in 3 of those 84
- Dependancy Checker: first choice in 1 of those 84
- GitHub Advanced Security: first choice in 1 of those 84

**Mid-market**: 80 of 84 answers did not name Checkmarx SCA (Checkmarx SCA is #17 of 17 at 0%).

- Trivy: first choice in 16 of those 80
- Snyk Open Source: first choice in 12 of those 80
- Mend.io: first choice in 7 of those 80
- GitHub Dependabot: first choice in 4 of those 80
- OWASP Dependency-Check: first choice in 4 of those 80
- OWASP Dependency-Track: first choice in 4 of those 80
- Sonatype Lifecycle: first choice in 3 of those 80
- Endor Labs: first choice in 2 of those 80

**Enterprise**: 75 of 84 answers did not name Checkmarx SCA (Checkmarx SCA is #12 of 14 at 0%).

- Sonatype Lifecycle: first choice in 13 of those 75
- Black Duck: first choice in 10 of those 75
- Mend.io: first choice in 7 of those 75
- Trivy: first choice in 5 of those 75
- Snyk Open Source: first choice in 4 of those 75
- Endor Labs: first choice in 3 of those 75
- OWASP Dependency-Track: first choice in 3 of those 75
- Aikido Security: first choice in 2 of those 75

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.