# DataDome vs HUMAN Security: which do AI models recommend for bot management, October 2026

IT AI Recommendation Index, October 2026 Edition, Bot management. Five of fourteen models named DataDome first on the direct prompt; zero named HUMAN Security. Page: https://it-ai-index.com/network/bot-management/datadome-vs-human-security/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| DataDome | 22% | #2 of 9 | 12% | 49 | 14 of 14 |
| HUMAN Security | 2% | #4 of 9 | 11% | 18 | 8 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: datadome first (first choices: DataDome) (alternatives: Cequence Security, Cloudflare Bot Management, Indusface AppTrana)
- Mistral Small: datadome first (first choices: DataDome, Fastly Bot Management) (alternatives: Cloudflare Bot Management, Imperva Advanced Bot Protection)
- Kimi K2: datadome first (first choices: DataDome) (alternatives: Cloudflare Bot Management, Fastly Bot Management)
- MiniMax M2.5: datadome first (first choices: DataDome, Fastly Bot Management) (alternatives: Cloudflare Bot Management, HUMAN Security, Imperva Advanced Bot Protection)
- Muse Glimmer 30B: datadome first (first choices: DataDome) (alternatives: Barracuda Bot Protection, Cloudbric Bot Protection, Cloudflare Bot Management, Fastly Bot Management)
- Claude Haiku 4.5: neither first, one named (first choices: AppTrana Bot Management) (alternatives: DataDome, Netacea Bot Management, Radware Bot Manager)
- GPT-5.4 mini: neither first, one named (first choices: Cloudflare Bot Management) (alternatives: Arkose Labs, DataDome, HUMAN Security)
- Grok 4.1 Fast: neither first, one named (first choices: Cloudflare Bot Management) (alternatives: DataDome, HUMAN Security)
- DeepSeek V4 Flash: neither first, one named (first choices: Cloudflare Bot Management) (alternatives: CHEQ, DataDome)
- Qwen 3.7 Flash: neither first, one named (first choices: Cloudflare Bot Management) (alternatives: DataDome, Imperva Advanced Bot Protection, Indusface AppTrana)
- GLM 4.7 FlashX: neither first, one named (first choices: Cloudflare Bot Management) (alternatives: DataDome, Imperva Advanced Bot Protection)
- GPT-6 Luna: neither first, one named (first choices: Cloudflare Bot Management) (alternatives: DataDome, Fastly Bot Management)
- Perplexity Sonar: neither named (first choices: Cloudflare Bot Management) (alternatives: Akamai Bot Manager, Indusface AppTrana, Radware Bot Manager)
- Llama 4 Maverick: neither named

## What the models said about DataDome

- "If you are currently evaluating dedicated bot-management vendors (such as DataDome, HUMAN, Kasada, Akamai, or F5), watch out for these contract and technical warning signs" (Gemini 3.5 Flash, negative prompt, soft negative)
- "DataDome's published Essentials plan starts at $3,830/month, so I'd reserve it for a clear need and budget." (GPT-6 Luna, paraphrase prompt, soft negative)
- "No free tier (free trial only) | Enterprise‑only pricing (custom quotes) ... can budget >$200/mo" (GLM 4.7 FlashX, budget prompt, soft negative)
- "DataDome | Real-time, multi-surface protection | Sub-2ms latency, <0.01% false positives, strong API/mobile coverage, 24/7 SOC | Can be pricier" (DeepSeek V4 Flash, scale prompt, first choice)
- "If you have the budget (~$45k/year) and want the highest protection with the least amount of internal work, go with DataDome." (Gemini 3.5 Flash, direct prompt, first choice)
- "DataDome (Leader in Forrester Wave) ... Superior AI-agent trust management, zero-friction UX, and excellent API-level protection." (Gemini 3.5 Flash, comparative prompt, first choice)

## What the models said about HUMAN Security

- "Leader in Forrester Wave Q3 2024 with top scores in strategy, detection models... #1 on G2 for Bot Detection and Mitigation" (Grok 4.1 Fast, 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.