# OpenText Fortify: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 23 judge labels across 1 categories by 11 of 12 models. Page: https://it-ai-index.com/vendors/opentext-fortify/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Static application security testing | 0% | 47 | 52% | 23 |

## What the models said for it

- "Coverity and Fortify are legacy heavyweights, often chosen for their ability to handle massive, multi‑language codebases" (GLM 4.7 FlashX, SAST)
- "For broadest language coverage, Checkmarx and Fortify lead." (Claude Haiku 4.5, SAST)

## And against it

- "High-cost, legacy platforms (like OpenText Fortify or older on-premise setups of Checkmarx)... Avoid legacy, binary-upload scanners and heavyweight on-premise engines." (Gemini 3.5 Flash, SAST)
- "Why Legacy Tools (Veracode, Checkmarx, Fortify) are Usually Wrong for Mid-Market B2B" (Gemini 3.5 Flash, SAST)
- "Tools to Avoid on a Tight Budget ... Fortify" (Qwen 3.7 Flash, SAST)
- "Traditional Fortify configurations and older Checkmarx deployments ... only detect what their rule authors anticipated ... mature but limited" (DeepSeek V4 Flash, SAST)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.