# Entro Security vs Aembit: which do AI models recommend for NHI management, October 2026

IT AI Recommendation Index, October 2026 Edition, Non-human identity management. Three of fourteen models named Entro Security first on the direct prompt; one named Aembit. Page: https://it-ai-index.com/identity/non-human-identity-management/entro-security-vs-aembit/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Entro Security | 9% | #2 of 16 | 25% | 24 | 11 of 14 |
| Aembit | 5% | #7 of 16 | 6% | 16 | 9 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: entro security first (first choices: Entro Security) (alternatives: Akeyless, One Identity Manager)
- Gemini 3.5 Flash: entro security first (first choices: Entro Security) (alternatives: Aembit, Akeyless, Oasis Security)
- Muse Glimmer 30B: entro security first (first choices: Entro Security, Oasis) (alternatives: Aembit, AppViewX, CyberArk Identity Security Platform, Defakto, HashiCorp Vault, JumpCloud, Keyfactor, Venafi)
- Mistral Small: aembit first (first choices: Aembit) (alternatives: Entro Security, Oasis Security)
- Grok 4.1 Fast: neither first, one named (first choices: JumpCloud) (alternatives: Aembit, Akeyless, Astrix Security, One Identity)
- DeepSeek V4 Flash: neither first, one named (first choices: Token Security) (alternatives: Astrix Security, Entro Security)
- Qwen 3.7 Flash: neither first, one named (first choices: JumpCloud) (alternatives: Aembit, Akeyless, One Identity)
- Kimi K2: neither first, one named (first choices: JumpCloud) (alternatives: Aembit, P0 Security)
- GPT-6 Luna: neither first, one named (first choices: Token Security) (alternatives: Aembit, Astrix Security, Cisco, Cyera, Entro Security, Oasis, SailPoint)
- Claude Haiku 4.5: neither named (first choices: JumpCloud) (alternatives: Delinea, HashiCorp Vault, Natoma, Oasis Security)
- Perplexity Sonar: neither named (first choices: Frontegg) (alternatives: Descope, OneLogin, Stytch, WorkOS)
- Llama 4 Maverick: neither named (alternatives: One Identity)
- GLM 4.7 FlashX: neither named (first choices: Microsoft Entra ID) (alternatives: KeeperPAM, Oasis Security, One Identity)
- MiniMax M2.5: neither named (first choices: JumpCloud) (alternatives: Oasis Security, One Identity, Saviynt Identity Cloud)

## What the models said about Entro Security

- "What to Avoid on a Tight Budget ... Entro Security | Enterprise-only; ~$50K/yr" (DeepSeek V4 Flash, budget prompt, hard negative)
- "unlike enterprise NHI tools (e.g., CyberArk, SailPoint, Entro) that start at tens of thousands annually" (Grok 4.1 Fast, budget prompt, soft negative)
- "CyberArk / Entro | Enterprise-grade, rotation/privileges | Higher cost" (Grok 4.1 Fast, scale prompt, soft negative)
- "SaaS sprawl + CI/CD + API keys / tokens → Entro Starter Pack or Oasis Starter Pack via AWS Marketplace is the most frequently cited mid-market entry point." (Muse Glimmer 30B, direct prompt, first choice)
- "Best for Heavy CI/CD, Code, & Multi-Cloud Environments: Entro Security ... love Entro's ease of onboarding and intuitive UI" (Gemini 3.5 Flash, direct prompt, first choice)
- "Start with Entro Security if your main objective is to inventory, secure, and govern NHIs quickly." (GPT-5.4 mini, direct prompt, first choice)

## What the models said about Aembit

- "Newer, smaller market share" (GLM 4.7 FlashX, comparative prompt, soft negative)
- "Aembit stands out as the best pure-play non-human identity management platform" (Mistral Small, direct prompt, first choice)
- "Aembit is my pick for low-cost managed workload access" (GPT-6 Luna, budget prompt, first choice)
- "Secretless workload-to-workload access—replacing static credentials rather than just cataloging them | Aembit" (GPT-6 Luna, direct prompt, alternative)

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.