# Fraud.net: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 6 judge labels across 2 categories by 4 of 14 models. Page: https://www.gane.ai/index/finance/vendors/fraud-net

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Ecommerce fraud prevention](https://www.gane.ai/index/finance/receivables/ecommerce-fraud-prevention/index.md) | 2% | 16 | 0% | 1 |
| [AML and transaction monitoring](https://www.gane.ai/index/finance/tax/aml-and-transaction-monitoring/index.md) | 0% | 22 | 0% | 5 |

## What the models said for it

- "I recommend Fraud.net as a leading online payment fraud detection tool" (Mistral Small, Ecommerce fraud)
- "AI-heavy for fraud/AML overlap, with pay-per-use models... Fraud.net excels in real-time threat detection" (Grok 4.20, AML monitoring)
- "Best for: Companies needing unified fraud and AML protection" (MiniMax M2.5, AML monitoring)
- "Useful when the same platform must cover both fraud and AML" (Perplexity Sonar, AML monitoring)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 1 | 0 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |

## Sources returned with these answers

The sites and pages cited by the answers that named Fraud.net, from 12 of the 12 answers that named it (only the models that return a source list).

### Domains cited

- sourceforge.net: 8
- fraud.net: 7 (its own site)
- g2.com: 6
- fraudio.com: 5
- capterra.com: 4
- github.com: 4
- guideflow.com: 4
- knowyourcustomer.com: 4
- cside.com: 3
- getapp.com: 3

### Pages cited

- https://knowyourcustomer.com/insights/best-aml-compliance-software-platforms: 4
- https://g2.com/categories/anti-money-laundering: 3
- https://github.com/ishandutta2007/Awesome-AML-Transaction-Monitoring: 3
- https://sourceforge.net/software/aml/for-mid-size-business: 3
- https://aitoolbox.hk/articles/best-ai-fraud-detection-tools-2026-sift-vs-forter-vs-signifyd-vs-riskified: 2
- https://capterra.com/aml-software: 2
- https://cside.com/blog/ecommerce-fraud-prevention-software: 2
- https://fraud.net/resources/best-ecommerce-fraud-detection-software: 2

## In its own words

What Fraud.net's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: AI Fraud Detection for Enterprises (https://fraud.net/)
- For: Enterprises (https://fraud.net/)
- Price stated: Contact for enterprise pricing (https://www.fraud.net/solutions/compliance)
- Free plan or trial: Schedule a free demo today. (https://fraud.net/)
- Certifications: ISO 27001
- Hosting: Worldwide
- Customers named: Fareportal, Arvato, Countingup

## What it publishes

Every page fraud.net exposes, read 2026-09-29: 1690 addresses. By kind, pages and the last 90 days:

- blog: 443 pages, 5 in the last 90 days, latest 2026-08-14
- case study: 28 pages, 1 in the last 90 days, latest 2026-09-02
- webinar or virtual event: 31 pages, 1 in the last 90 days, latest 2026-08-18
- conference or event: 3 pages, 0 in the last 90 days, latest 2019-12-06
- report or ebook: 39 pages, 0 in the last 90 days, latest 2026-04-13
- comparison: 17 pages, 0 in the last 90 days, latest 2025-06-03
- template or tool: 1 pages, 0 in the last 90 days, latest 2025-03-11
- glossary or explainer: 689 pages, 1 in the last 90 days, latest 2026-08-05
- podcast or video: 4 pages, 0 in the last 90 days, latest 2021-03-05
- news or press: 2 pages, 0 in the last 90 days, latest 2023-11-20
- Recent: 2026-09-02 case study: Card testing detection for a leading merchant services provider staying ahead of attackers https://www.fraud.net/case-studies/card-testing-detection-for-a-leading-merchant-services-provider-staying-ahead-of-attackers
- Recent: 2026-08-18 webinar or virtual event: Webinar how ai industrialized card testing https://www.fraud.net/resources/webinar-how-ai-industrialized-card-testing
- Recent: 2026-08-14 blog: Vamp just turned card testing into a compliance problem https://www.fraud.net/resources/vamp-just-turned-card-testing-into-a-compliance-problem
- Recent: 2026-08-05 blog: Guide card testing detection   how to catch enumeration attacks in real time https://www.fraud.net/resources/guide-card-testing-detection---how-to-catch-enumeration-attacks-in-real-time
- Recent: 2026-08-05 glossary or explainer: What is card testing enumeration bin attacks and vamp explained https://www.fraud.net/resources/what-is-card-testing-enumeration-bin-attacks-and-vamp-explained
- Recent: 2026-07-14 blog: Fraudnet wins gold award for banking fraud prevention https://www.fraud.net/resources/fraudnet-wins-gold-award-for-banking-fraud-prevention

## 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.