# Wallarm API Security vs Salt Security: which do AI models recommend for API security, October 2026

IT AI Recommendation Index, October 2026 Edition, API security platforms. Two of fourteen models named Wallarm API Security first on the direct prompt; two named Salt Security. Page: https://it-ai-index.com/security/api-security-platforms/wallarm-api-security-vs-salt-security/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Wallarm API Security | 10% | #1 of 13 | 0% | 29 | 13 of 14 |
| Salt Security | 8% | #4 of 13 | 33% | 43 | 14 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: wallarm api security first (first choices: Wallarm API Security) (alternatives: Cloudflare API Shield, Harness WAAP, Salt Security, StackHawk)
- GPT-6 Luna: wallarm api security first (first choices: Wallarm API Security) (alternatives: 42Crunch, Salt Security)
- Claude Haiku 4.5: salt security first (first choices: Salt Security) (alternatives: 42Crunch, Wallarm API Security)
- Grok 4.1 Fast: salt security first (first choices: Salt Security) (alternatives: Akamai API Security, Cequence Unified API Protection, Noname Security, Traceable AI)
- Mistral Small: neither first, one named (first choices: Aikido Security, Data Theorem API Security) (alternatives: Imperva API Security, Traceable AI, Wallarm API Security)
- DeepSeek V4 Flash: neither first, one named (first choices: Noname Security) (alternatives: APIsec, Postman, Traceable, Wallarm API Security)
- Llama 4 Maverick: neither first, one named (first choices: Aikido Security) (alternatives: AWS API Gateway with AWS Shield, Salt Security)
- Qwen 3.7 Flash: neither first, one named (first choices: Noname Security) (alternatives: 42Crunch, StackHawk, Wallarm API Security)
- GLM 4.7 FlashX: neither first, one named (first choices: Zuplo) (alternatives: Apigee, Kong Gateway, Salt Security, Traceable AI)
- MiniMax M2.5: neither first, one named (first choices: Auth0) (alternatives: Cloudflare API Shield, Imperva API Security, Noname Security, Salt Security)
- Muse Glimmer 30B: neither first, one named (first choices: Check Point CloudGuard WAF, Traceable AI) (alternatives: Akamai API Security, Cequence Unified API Protection, Noname, Salt Security, Treblle)
- GPT-5.4 mini: neither named (first choices: Akamai API Security) (alternatives: Akto, Imperva API Security, Traceable API Security Platform)
- Perplexity Sonar: neither named (first choices: Aikido Security) (alternatives: Check Point CloudGuard WAF)
- Kimi K2: neither named (first choices: Data Theorem, Traceable AI) (alternatives: APIsec, Beagle Security, Imperva API Security)

## What the models said about Wallarm API Security

- "I'd generally recommend Wallarm as the first place to look" (GPT-5.4 mini, paraphrase prompt, first choice)
- "I'd start with Wallarm for a typical mid-market B2B company" (GPT-6 Luna, direct prompt, first choice)
- "Best Overall for Consolidated Security: Wallarm" (Gemini 3.5 Flash, direct prompt, first choice)

## What the models said about Salt Security

- "Another platform frequently mentioned as having significant setup and operational overhead." (Mistral Small, negative prompt, hard negative)
- "Avoid Salt Security ($100k+/year)" (Kimi K2, direct prompt, hard negative)
- "Salt Security is frequently cited as a category pioneer for AI-powered behavioral threat detection and API discovery... also note typical enterprise caveats: shift-left and SIEM logging integrations are still maturing in places, and smaller teams report sales-led buying and opaque pricing." (Muse Glimmer 30B, negative prompt, soft negative)
- "If you want to stop complex logic abuse (like BOLA) in runtime without adding any latency to your production traffic, select Salt Security or Traceable AI." (Gemini 3.5 Flash, comparative prompt, first choice)
- "dedicated purpose-built solutions like Salt Security, Traceable AI, Wallarm, Akamai API Security, and Cequence Security" (Grok 4.1 Fast, comparative prompt, first choice)
- "Purpose-built API security platform that combines API discovery, posture governance, and runtime threat detection in a single product." (Muse Glimmer 30B, comparative 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.