# Persona vs Sumsub: which do AI models recommend for identity verification, October 2026

IT AI Recommendation Index, October 2026 Edition, Identity verification. Seven of fourteen models named Persona first on the direct prompt; three named Sumsub. Page: https://it-ai-index.com/identity/identity-verification/persona-vs-sumsub/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Persona | 21% | #1 of 10 | 15% | 41 | 14 of 14 |
| Sumsub | 17% | #3 of 10 | 15% | 40 | 14 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: both first (first choices: Persona, Sumsub) (alternatives: Trulioo)
- Kimi K2: both first (first choices: Persona, Sumsub) (alternatives: iDenfy)
- GLM 4.7 FlashX: both first (first choices: Persona, Sumsub) (alternatives: Trulioo, Veriff)
- GPT-5.4 mini: persona first (first choices: Persona) (alternatives: Jumio, Sumsub, Trulioo)
- Gemini 3.5 Flash: persona first (first choices: Persona) (alternatives: Middesk, Sumsub, iDenfy)
- DeepSeek V4 Flash: persona first (first choices: Persona) (alternatives: Middesk, Sumsub, Trulioo)
- GPT-6 Luna: persona first (first choices: Middesk, Persona) (alternatives: Alloy)
- Claude Haiku 4.5: neither first, one named (first choices: Trulioo) (alternatives: Ondato, Sumsub, iDenfy)
- Perplexity Sonar: neither first, one named (first choices: Trulioo) (alternatives: Jumio, Sumsub, Veriff, iDenfy)
- Mistral Small: neither named (first choices: 1Kosmos, Trulioo) (alternatives: Middesk, Veriff)
- Llama 4 Maverick: neither named (first choices: Veriff) (alternatives: Trustpair, iDenfy)
- Qwen 3.7 Flash: neither named (first choices: Middesk, Veriff) (alternatives: IDology, Jumio, Onfido, Shufti Pro)
- MiniMax M2.5: neither named (first choices: GBG, Veriff) (alternatives: Trustpair)
- Muse Glimmer 30B: neither named

## What the models said about Persona

- "third-party B2B identity verifiers like Persona Identities or Confirm ID ... faced class-action lawsuits under BIPA" (Gemini 3.5 Flash, negative prompt, hard negative)
- "Veriff and Persona – due to consistently poor user ratings, frequent verification failures, and unhelpful support." (GLM 4.7 FlashX, negative prompt, hard negative)
- "Data Pass-Through: Research found that identity checks can pass personal data through up to 17 different companies" (MiniMax M2.5, negative prompt, hard negative)
- "Best overall for regulated onboarding: Persona, for configurable identity flows and fraud orchestration across the full lifecycle." (Muse Glimmer 30B, comparative prompt, first choice)
- "Persona — Best Overall for Customization & Unified Flows ... widely considered the gold standard for mid-market companies" (Gemini 3.5 Flash, direct prompt, first choice)
- "If you want zero upfront costs and the easiest developer integration, go with Persona (Starter Plan)." (Gemini 3.5 Flash, budget prompt, first choice)

## What the models said about Sumsub

- "Be most cautious about: IDScan.net, IDmerit, and Sumsub due to confirmed major data breaches." (DeepSeek V4 Flash, negative prompt, hard negative)
- "2024 breach through third-party vendor went undetected for 18 months" (MiniMax M2.5, negative prompt, hard negative)
- "a July 2024 intrusion through a third-party support ticketing platform went undetected until a January 2026 review" (Muse Glimmer 30B, negative prompt, soft negative)
- "I would recommend Sumsub if you want a balanced, enterprise-ready KYC document + selfie verification tool" (Perplexity Sonar, paraphrase prompt, first choice)
- "Sumsub — Best All-in-One Value ... Start with Sumsub if you need KYB (business verification) + KYC together" (Kimi K2, paraphrase prompt, first choice)
- "The Best All-in-One Solution (KYC + KYB): Sumsub ... highly recommended for mid-market B2B companies" (Gemini 3.5 Flash, paraphrase 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.