# Microsoft Entra ID vs Microsoft Authenticator: which do AI models recommend for MFA, October 2026

IT AI Recommendation Index, October 2026 Edition, Multi-factor authentication. Five of fourteen models named Microsoft Entra ID first on the direct prompt; zero named Microsoft Authenticator. Page: https://it-ai-index.com/identity/multi-factor-authentication/microsoft-entra-id-vs-microsoft-authenticator/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Microsoft Entra ID | 30% | #2 of 11 | 0% | 46 | 13 of 14 |
| Microsoft Authenticator | 2% | #4 of 11 | 19% | 21 | 10 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: microsoft entra id first (first choices: Microsoft Entra ID, Okta Verify)
- GPT-5.4 mini: microsoft entra id first (first choices: Microsoft Entra ID) (alternatives: Cisco Duo, Okta Verify)
- DeepSeek V4 Flash: microsoft entra id first (first choices: Cisco Duo, Microsoft Entra ID) (alternatives: JumpCloud MFA)
- Qwen 3.7 Flash: microsoft entra id first (first choices: Microsoft Entra ID) (alternatives: Cisco Duo, Okta Verify, YubiKey)
- GPT-6 Luna: microsoft entra id first (first choices: Microsoft Entra ID) (alternatives: Cisco Duo, Okta Verify)
- Gemini 3.5 Flash: neither first, one named (first choices: Cisco Duo) (alternatives: JumpCloud Protect, Microsoft Entra ID, Okta Verify)
- Grok 4.1 Fast: neither first, one named (first choices: Cisco Duo) (alternatives: JumpCloud Protect, Microsoft Entra ID)
- Mistral Small: neither first, one named (first choices: Cisco Duo, Okta Verify) (alternatives: Microsoft Entra ID)
- Kimi K2: neither first, one named (first choices: Cisco Duo) (alternatives: Microsoft Entra ID, Okta Verify)
- GLM 4.7 FlashX: neither first, one named (first choices: Cisco Duo) (alternatives: JumpCloud MFA, Microsoft Entra ID, Okta Verify, OneLogin MFA)
- MiniMax M2.5: neither first, one named (first choices: Cisco Duo) (alternatives: Microsoft Entra ID, Okta Verify)
- Muse Glimmer 30B: neither first, one named (first choices: Cisco Duo) (alternatives: Microsoft Entra ID, Okta Verify, PingOne MFA, SafeNet Trusted Access, SecureAuth Arculix)
- Perplexity Sonar: neither named (first choices: Cisco Duo) (alternatives: Okta Verify, OneLogin MFA, WorkOS)
- Llama 4 Maverick: neither named

## What the models said about Microsoft Entra ID

- "If you're a Microsoft shop (most B2B mid-market firms are): Microsoft Entra ID MFA using Conditional Access policies — it's the most cost-effective, deeply integrated solution" (DeepSeek V4 Flash, direct prompt, first choice)
- "Tier 1 (Integrated/Free-ish): Microsoft Entra (Azure AD) or Duo (Cisco). ... sticking with Microsoft's native offering is often the path of least resistance and lowest cost." (Qwen 3.7 Flash, scale prompt, first choice)

## What the models said about Microsoft Authenticator

- "Only use push notification systems (like Microsoft Authenticator or Duo) if they are configured to require Number Matching" (Gemini 3.5 Flash, negative prompt, soft negative)
- "These aren't full enterprise MFA solutions on their own ... They lack central management, enforcement, or reporting." (DeepSeek V4 Flash, budget prompt, soft negative)
- "TOTP Authenticator Apps (Google Authenticator, Authy, Microsoft Authenticator) ... are phishable." (DeepSeek V4 Flash, negative prompt, soft negative)
- "start with Microsoft Authenticator (if using M365) or Duo Free — both offer solid security with minimal cost" (MiniMax M2.5, budget prompt, first choice)
- "Microsoft\u2019s own guidance highlights Authenticator, FIDO2 security keys/passkeys, certificate-based auth, and Windows Hello for Business" (GPT-5.4 mini, comparative prompt, alternative)
- "Using apps like Google Authenticator, Microsoft Authenticator, or Authy is completely free" (Mistral Small, budget 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.