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

Gane Index, November 2026 Edition. 235 of the 252 answers in the 1 category where Kontra 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/kontra/alternatives

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

- Secure Code Warrior Learning Platform: 80
- SecureFlag: 39
- Snyk Learn: 13
- Security Journey: 11
- SafeStack Academy: 8
- AppSecEngineer: 5

## Secure code training

**Small business**: 78 of 84 answers did not name Kontra.

- SecureFlag: first choice in 19 of those 78
- Secure Code Warrior Learning Platform: first choice in 12 of those 78
- Snyk Learn: first choice in 9 of those 78
- SafeStack Academy: first choice in 4 of those 78
- Security Journey: first choice in 4 of those 78
- PortSwigger Web Security Academy: first choice in 3 of those 78
- OWASP resources: first choice in 2 of those 78
- AppSecEngineer: first choice in 1 of those 78

**Mid-market**: 77 of 84 answers did not name Kontra (Kontra is #10 of 13 at 0%).

- Secure Code Warrior Learning Platform: first choice in 25 of those 77
- SecureFlag: first choice in 11 of those 77
- SafeStack Academy: first choice in 4 of those 77
- Snyk Learn: first choice in 4 of those 77
- PortSwigger Web Security Academy: first choice in 2 of those 77
- Secure Code Game: first choice in 2 of those 77
- Security Journey: first choice in 2 of those 77
- AppSecEngineer: first choice in 1 of those 77

**Enterprise**: 80 of 84 answers did not name Kontra.

- Secure Code Warrior Learning Platform: first choice in 43 of those 80
- SecureFlag: first choice in 9 of those 80
- Security Journey: first choice in 5 of those 80
- AppSecEngineer: first choice in 3 of those 80
- Checkmarx Codebashing: first choice in 1 of those 80
- Herd Security: first choice in 1 of those 80
- SANS Developer Security Training: first choice in 1 of those 80
- Veracode: first choice in 1 of those 80

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