# FOSSA alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 217 of the 252 answers in the 1 category where FOSSA holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://www.gane.ai/index/it/vendors/fossa/alternatives

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

- Snyk Open Source: 50
- Trivy: 31
- Sonatype Lifecycle: 23
- OWASP Dependency-Check: 13
- OWASP Dependency-Track: 12
- Black Duck: 10

## Software composition analysis

**Small business**: 68 of 84 answers did not name FOSSA (FOSSA is #7 of 14 at 2%).

- Snyk Open Source: first choice in 24 of those 68
- Trivy: first choice in 12 of those 68
- OWASP Dependency-Check: first choice in 9 of those 68
- GitHub Dependabot: first choice in 4 of those 68
- OSV-Scanner: first choice in 4 of those 68
- Aikido Security: first choice in 2 of those 68
- GitHub Advanced Security: first choice in 1 of those 68
- GitHub Dependency Graph & Dependabot: first choice in 1 of those 68

**Mid-market**: 72 of 84 answers did not name FOSSA (FOSSA is #8 of 19 at 0%).

- Snyk Open Source: first choice in 17 of those 72
- Trivy: first choice in 16 of those 72
- Mend.io – Mend SCA: first choice in 4 of those 72
- OWASP Dependency-Check: first choice in 4 of those 72
- OWASP Dependency-Track: first choice in 3 of those 72
- GitHub Dependabot: first choice in 2 of those 72
- Black Duck: first choice in 1 of those 72
- GitHub Advanced Security: first choice in 1 of those 72

**Enterprise**: 77 of 84 answers did not name FOSSA (FOSSA is #14 of 14 at 0%).

- Sonatype Lifecycle: first choice in 23 of those 77
- Black Duck: first choice in 9 of those 77
- OWASP Dependency-Track: first choice in 9 of those 77
- Snyk Open Source: first choice in 9 of those 77
- Mend.io – Mend SCA: first choice in 5 of those 77
- OSV-Scanner: first choice in 3 of those 77
- Trivy: first choice in 3 of those 77
- Aikido Security: first choice in 1 of those 77

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