# Ecommerce fraud prevention: what AI models recommend, November 2026

Gane Index, November 2026 Edition. Asked as "ecommerce fraud prevention platform" and as "online payment fraud detection tool", six framings each, to fourteen models with search on, on behalf of a mid-market B2B company. Added to the November 2026 Edition. Page: https://www.gane.ai/index/finance/receivables/ecommerce-fraud-prevention/2026-11

**Standing:** Stripe Radar leads with 15% of first choices; verdict contested. 54 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| Rank | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | [Stripe Radar](https://www.gane.ai/index/finance/vendors/stripe-radar/index.md) | 15% | 10% | 42 |
| 2 | [Signifyd](https://www.gane.ai/index/finance/vendors/signifyd/index.md) | 13% | 23% | 57 |
| 3 | [SEON](https://www.gane.ai/index/finance/vendors/seon/index.md) | 11% | 7% | 43 |
| 4 | [Sift](https://www.gane.ai/index/finance/vendors/sift/index.md) | 9% | 16% | 50 |
| 5 | [NoFraud](https://www.gane.ai/index/finance/vendors/nofraud/index.md) | 9% | 12% | 24 |
| 6 | [ClearSale](https://www.gane.ai/index/finance/vendors/clearsale/index.md) | 7% | 4% | 27 |
| 7 | [Fingerprint](https://www.gane.ai/index/finance/vendors/fingerprint/index.md) | 4% | 14% | 21 |
| 13 | [Forter](https://www.gane.ai/index/finance/vendors/forter/index.md) | 2% | 18% | 33 |
| 20 | [Kount](https://www.gane.ai/index/finance/vendors/kount/index.md) | 0% | 23% | 31 |
| 21 | [Riskified](https://www.gane.ai/index/finance/vendors/riskified/index.md) | 0% | 36% | 39 |
| 23 | [Chargeflow](https://www.gane.ai/index/finance/vendors/chargeflow/index.md) | 0% | 17% | 12 |

Rank is by share of first choices among all 78 products named; products with the same share are tied, and the order among them carries no meaning. The table lists those with at least 10 labels.

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: Trustpair; alternatives Riskified, SEON, Signifyd
- GPT-5.4 mini: Sift; alternatives Forter, Riskified, Signifyd
- Gemini 3.5 Flash: Sift; alternatives Kount, SEON, Trustmi AI
- Perplexity Sonar: Signifyd; alternatives ClearSale, SEON, Sift
- Grok 4.20: SEON; alternatives ClearSale, Sift, Signifyd, Stripe Radar
- Mistral Small: ClearSale, Signifyd; alternatives Stripe Radar, Sumsub
- DeepSeek V4 Flash: SEON; alternatives Sift, Signifyd
- Llama 4 Maverick: Signifyd
- Qwen 3.7 Flash: Sift; alternatives LexisNexis Intelligent Investigator, Ping Identity, Signifyd, Wyllo
- Kimi K2: Signifyd; alternatives SEON, Sift, Wyllo
- GLM 4.7 FlashX: Stripe Radar; alternatives SEON, Signifyd
- MiniMax M2.5: ClearSale, SEON, Sift; alternatives Kount
- GPT-6 Luna: Signifyd; alternatives Kount, Sift, Trustmi
- Muse Glimmer 30B: ClearSale; alternatives SEON, Sift, Signifyd, Trustpair

## Sources the answers cite

76 of 84 answers came back with a source list, from 14 of 14 models. Sites named in the most answers:

- g2.com: 40 answers, 82 citations
- hcaptcha.com: 33 answers, 33 citations
- stripe.com: 30 answers, 44 citations
- cside.com: 20 answers, 21 citations
- lister.ai: 19 answers, 19 citations
- fraudio.com: 18 answers, 36 citations
- merchantfraudjournal.com: 18 answers, 18 citations
- guideflow.com: 17 answers, 18 citations

Pages named in the most answers:

- https://hcaptcha.com/learning/fraud-prevention/ecommerce-fraud-prevention-software (33 answers)
- https://g2.com/categories/e-commerce-fraud-protection (29 answers)
- https://cside.com/blog/ecommerce-fraud-prevention-software (19 answers)
- https://lister.ai/software/ecommerce-operations/ecommerce-fraud-prevention-software/best-ecommerce-fraud-prevention-software (19 answers)
- https://merchantfraudjournal.com/top-ecommerce-fraud-prevention-solutions (18 answers)
- https://stripe.com/resources/more/ecommerce-fraud-prevention-software (17 answers)
- https://faqprime.com/en/ecommerce-fraud-protection (16 answers)
- https://learn.g2.com/best-e-commerce-fraud-protection-software (15 answers)
- https://aissist.io/insights/best-ecommerce-fraud-prevention-tools (14 answers)
- https://fraudio.com/roundups/best-ecommerce-fraud-prevention-software-tools-compared (14 answers)

## Warned against

- Riskified: 14 of 39 labels negative. "Specific Platforms to Avoid or Be Cautious About ... Riskified ... significant user complaints regarding its chargeback guarantee and support" (GLM 4.7 FlashX, negative prompt)
- Signifyd: 13 of 57 labels negative. "reviews highlight issues with accuracy and billing" (GLM 4.7 FlashX, negative prompt)
- Sift: 8 of 50 labels negative. "Sift – if you don't have a dedicated risk team, due to complexity and false positives." (DeepSeek V4 Flash, negative prompt)
- Kount: 7 of 31 labels negative. "Avoid enterprise platforms like Riskified, Forter, and Kount" (DeepSeek V4 Flash, budget prompt)

## Movement since October 2026

Floor: 10 points of share, measured on the calibration repeat.
New leader: SEON (16%) to Stripe Radar (15%). Margin 4 points, within noise.

- Eftsure: 16% to 4%, −12. Cleared the floor by 2 points · rank 2 → 11 of 78.
- Signifyd: 8% to 13%, +5. Inside the floor by 5 points · rank 4 → 2 of 78.
- SEON: 16% to 11%, −5. Inside the floor by 5 points · rank 1 → 3 of 78.
- Sift: 4% to 9%, +5. Inside the floor by 5 points · rank 8 → 4 of 78.
- ClearSale: 2% to 7%, +5. Inside the floor by 5 points · rank 10 → 6 of 78.
- Fingerprint: 0% to 4%, +4. Inside the floor by 6 points · rank 21 → 7 of 78.
- Forter: 0% to 2%, +2. Inside the floor by 8 points · rank 22 → 13 of 78.
- Stripe Radar: 14% to 15%, +1. Inside the floor by 9 points · rank 3 → 1 of 78.
- NoFraud: 8% to 9%, +1. Inside the floor by 9 points · rank 5 of 78, unchanged.
- Kount: 0% to 0%, ±0. Inside the floor by 10 points · rank 19 → 20 of 78.
- Riskified: 0% to 0%, ±0. Inside the floor by 10 points · rank 20 → 21 of 78.
- Chargeflow: 0% to 0%, ±0. Inside the floor by 10 points · rank 51 → 23 of 78.

## Record

- Method: https://www.gane.ai/index/finance/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/finance.
