# OWASP Dependency-Track vs Sonatype Lifecycle: which do AI models recommend for SCA, October 2026

IT AI Recommendation Index, October 2026 Edition, Software composition analysis. Zero of fourteen models named OWASP Dependency-Track first on the direct prompt; one named Sonatype Lifecycle. Page: https://it-ai-index.com/developer/software-composition-analysis/owasp-dependency-track-vs-sonatype-lifecycle/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| OWASP Dependency-Track | 8% | #4 of 17 | 0% | 21 | 10 of 14 |
| Sonatype Lifecycle | 2% | #7 of 17 | 9% | 32 | 13 of 14 |

## The direct prompt, model by model

- MiniMax M2.5: sonatype lifecycle first (first choices: Snyk Open Source, Sonatype Lifecycle) (alternatives: Black Duck, FOSSA, GitHub Advanced Security)
- Claude Haiku 4.5: neither first, one named (first choices: Mend.io) (alternatives: Black Duck, Endor Labs, FOSSA, Snyk Open Source, Sonatype Lifecycle)
- GPT-5.4 mini: neither first, one named (first choices: Snyk Open Source) (alternatives: FOSSA, OWASP Dependency-Check, OWASP Dependency-Track)
- Perplexity Sonar: neither first, one named (first choices: Mend.io) (alternatives: Black Duck, Snyk Open Source, Sonatype Lifecycle)
- Grok 4.1 Fast: neither first, one named (first choices: Snyk Open Source) (alternatives: Mend.io, Sonatype Lifecycle)
- DeepSeek V4 Flash: neither first, one named (first choices: Snyk Open Source) (alternatives: Mend.io, Sonatype Lifecycle)
- Kimi K2: neither first, one named (first choices: Mend.io, Snyk Open Source) (alternatives: GitHub Advanced Security, GitHub Dependabot, Sonatype Lifecycle, Trivy)
- GLM 4.7 FlashX: neither first, one named (first choices: GitHub Advanced Security, Snyk Open Source) (alternatives: Black Duck, Endor Labs, FOSSA, Mend.io, Sonatype Lifecycle)
- GPT-6 Luna: neither first, one named (first choices: Snyk Open Source) (alternatives: GitHub's built-in supply-chain tools, Mend.io, Sonatype Lifecycle)
- Muse Glimmer 30B: neither first, one named (first choices: Mend.io) (alternatives: Snyk Open Source, Sonatype Lifecycle)
- Gemini 3.5 Flash: neither named (first choices: Aikido Security) (alternatives: Endor Labs, Mend.io, Snyk Open Source)
- Mistral Small: neither named (first choices: Mend.io) (alternatives: GitHub Advanced Security, Insignary Clarity)
- Llama 4 Maverick: neither named (first choices: Mend.io)
- Qwen 3.7 Flash: neither named (first choices: Mend.io) (alternatives: GitHub Advanced Security, Snyk Open Source)

## What the models said about OWASP Dependency-Track

- "If you asked me to pick one for a mid-sized B2B company, I'd choose: Dependency-Track for centralized visibility and governance" (GPT-5.4 mini, paraphrase prompt, first choice)
- "OWASP Dependency-Track and Scanmycode.io are the top choices due to their open-source nature and lack of ongoing costs." (Mistral Small, budget prompt, first choice)
- "Top Recommendation: OWASP Dependency-Track + Trivy (or Grype)" (DeepSeek V4 Flash, paraphrase prompt, first choice)

## What the models said about Sonatype Lifecycle

- "you do not need a high-end enterprise Software Composition Analysis (SCA) tool (like Black Duck, Mend, or Sonatype)" (Gemini 3.5 Flash, budget prompt, soft negative)
- "weaker support for modern langs/ecosystems; complex initial config (weeks of tuning); dated UI" (Grok 4.1 Fast, negative prompt, soft negative)
- "Historically perceived as having a steeper learning curve and heavier UI than Mend or Snyk" (Qwen 3.7 Flash, direct prompt, soft negative)
- "Sonatype | Highest strategy score, AI/ML for malicious component detection | Strongest policy engine (30+ constraints), end-to-end SBOM management" (MiniMax M2.5, comparative prompt, first choice)
- "I would recommend starting with Sonatype Nexus Lifecycle or Snyk Open Source" (MiniMax M2.5, direct prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.