Data as of Aug 25, 2026 · Based on 2,060 AI responses · See how Parse measures this
Software Supply Chain Security Platforms
Parse
https://parse.gl
AI assistants consistently recommend GitHub's ecosystem of tools for software supply chain security. Across the board, however, open-source, CI/CD-native tools like and have surged in prominence, frequently co-recommended for their speed and flexibility.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Praised as a fast, flexible open-source tool for CI/CD pipeline integration. | 44% | |
| 2 | Often cited for enterprise SBOM management and its open-source tool, | 43% | |
| 3 | Positioned as a developer-first platform with AI-assisted patch guidance and SCA. | 40% | |
| 4 | A rising all-in-one scanner and SBOM generator, valued for CI/CD speed. | 34% | |
| 5 | A consistent choice for enterprise-grade governance and SBOM management at scale. | 33% | |
| 6 | Recommended for comprehensive SBOM lifecycle and license compliance management features. | 29% | |
| 7 | An emerging "Active ASPM" frequently cited for its real-time supply chain visibility. | 26% | |
| 8 | 26% | ||
| 9 | Frequently mentioned for AI-based remediation and software composition analysis (SCA). | 25% | |
| 10 | 21% | ||
| 11 | 21% | ||
| 12 | Gaining mentions as an open-source platform for continuous SBOM monitoring and analysis. | 19% | |
| 13 | Frequently recommended for its developer-native security ecosystem of tools and actions. | 18% | |
| 14 | 17% | ||
| 15 | 14% | ||
| 16 | 14% | ||
| 17 | 13% | ||
| 18 | 12% | ||
| 19 | 11% | ||
| 20 | 11% | ||
| 21 | 10% | ||
| 22 | 9% | ||
| 23 | 8% | ||
| 24 | 8% | ||
| 25 | 6% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
ox.security is the page AI reaches for most here, cited in 48% of analyzed answers.
“as a CI/CD platform for integrating other SBOM tools” → “as a full security platform with native compliance features and advanced security tooling”
Slipped from #1 to #4 overall, often superseded by mentions of its own sponsored tool, Syft.
Grew from 11% mention rate in Oct 2025 to 54% by Mar 2026.
Mention rate increased from 7% to 47% between Oct 2025 and Mar 2026.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 63% | 51% | ||
| 37% | 52% | ||
| 47% | 0% | ||
| 43% | 35% | ||
| 26% | 41% |
The two models disagree most about Endor Labs (ChatGPT #5, Google #24) and CycloneDX Generator (cdxgen) (ChatGPT #23, Google #13).
AI assistants consistently recommend Github's ecosystem of tools for software supply chain security. Across the board, however, open-source, CI/CD-native tools like Syft and Trivy have surged in prominence, frequently co-recommended for their speed and flexibility.
Across 2,060 AI responses, Syft is mentioned most, named in 44% of them, followed by Anchore (43%) and Snyk (40%).
Parse measures each brand's mention rate — the share of answers naming it — across 2,060 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
This prompt has consistently received recommendations for open-source, CLI-friendly tools. While Syft and Generator were early leaders, surged in mentions after December 2025, frequently praised by AI as a fast, all-in-one alternative for CI/CD.
The market map
Recommended by need