---
description: Get detailed information about FraudNet usability, features, price, benefits and disadvantages from verified user experiences. Read reviews and discover similar tools on Capterra United Arab Emirates.
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title: FraudNet Price, Reviews & Ratings - Capterra United Arab Emirates 2026
---

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# FraudNet

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> FraudNet is AI software helping enterprises prevent fraud, manage risk, and ensure compliance using analytics and a global network.
> 
> Verdict: Rated **4.8/5** by 17 users. Top-rated for **Likelihood to recommend**.

-----

## Overview

### Who Uses FraudNet?

FraudNet is used by financial institutions, banks, credit unions, fintechs, eCommerce companies, retailers, travel businesses, marketplaces, and gaming companies.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.8/5** | 17 Reviews |
| Ease of Use | 4.8/5 | Based on overall reviews |
| Customer Support Software | 4.9/5 | Based on overall reviews |
| Value for Money | 4.8/5 | Based on overall reviews |
| Features | 4.5/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Fraud.net
- **Location**: New York, US
- **Founded**: 2013

## Commercial Context

- **Pricing model**: Usage Based (Free version available) (Free Trial)
- **Pricing Details**: Usage based pricing with volume discounts. Flexible subscription plans. Free onboarding and support available.
- **Target Audience**: 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based
- **Supported Languages**: English, Spanish
- **Available Countries**: Afghanistan, Albania, Algeria, Angola, Antigua & Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia & Herzegovina and 147 more

## Features

- AI/Machine Learning
- AML Compliance
- Address Validation
- Alerts/Escalation
- Alerts/Notifications
- Audit Management
- Authentication Software
- Behavioral Analytics
- Biometrics
- Compliance Management
- Credit Card Management
- Custom Fraud Rules
- Customer Accounts
- Data Verification
- Electronic Payments
- Fraud Detection
- ID Scanning
- Identity Verification Software
- Internal Controls Management
- KYC Compliance
- Mobile Access
- Multiple Authentication Methods
- Reporting/Analytics
- Response Management
- Retail Banking
- Risk Analysis
- Risk Management Software
- Risk Scoring
- Transaction Monitoring
- Watch List
- Workflow Management Software

## Integrations (5 total)

- ComplyAdvantage
- DIRO
- FullContact
- Plaid
- Twilio

## Support Options

- Email/Help Desk
- FAQs/Forum
- Knowledge Base Software
- Phone Support
- Chat

## Category

- [AML Software](https://www.capterra.ae/directory/31084/aml/software)

## Related Categories

- [Financial Fraud Detection Software](https://www.capterra.ae/directory/10058/financial-fraud-detection/software)
- [Online Banking Software](https://www.capterra.ae/directory/30589/online-banking/software)
- [Risk Management Software](https://www.capterra.ae/directory/30665/risk-management/software)
- [Financial Risk Management Software](https://www.capterra.ae/directory/20009/financial-risk-management/software)
- [Identity Verification Software](https://www.capterra.ae/directory/33695/identity-verification/software)

## Alternatives

1. [Ondato](https://www.capterra.ae/software/201476/ondato) — 4.8/5 (13 reviews)
2. [KYC Portal](https://www.capterra.ae/software/160754/kyc-portal) — 4.7/5 (16 reviews)
3. [Plaid](https://www.capterra.ae/software/174384/plaid) — 4.4/5 (95 reviews)
4. [SEON. Fraud Fighters](https://www.capterra.ae/software/187389/seon-sense) — 4.9/5 (56 reviews)
5. [Feedzai](https://www.capterra.ae/software/156229/feedzai-ds) — 4.7/5 (11 reviews)

## Reviews

### "My testimonial with Fraud.net" — 4.0/5

> **Nick** | *12 February 2024* | Financial Services Software | Recommendation rating: 8.0/10
> 
> **Pros**: User-friendliness&#10;Customer focus&#10;Commitment
> 
> **Cons**: At this moment I haven't got any specific things.
> 
> For over a year I had the pleasure of using Fraud.net Product and Services and I would gladly like to share my positive experience. The support I received was outstanding. The team made sure that all our inquiries were addressed promptly and with a genuine willingness to assist. I really like Fraud.nets Product in terms of functionality and ease of use. The design and user-friendly interface makes it accessible for all the colleagues within my team of all skill levels. It's evident that user experience was a top priority during development.&#10;&#10;In conclusion, I am really satisfied with Fraud.net Product and Services and support\!

-----

### "Great real-time monitoring" — 5.0/5

> **Verified Reviewer** | *4 March 2021* | Medical Devices | Recommendation rating: 9.0/10
> 
> **Pros**: I like the ability to view if the email source is trusted or untrusted. It is helpful for viewing this information before even opening the email.
> 
> **Cons**: The scores are not always accurate, as I was getting "yellow" flagged warnings for internal company emails.
> 
> Fraud.net helps lower the risk of clicking any phishing scams or opening any suspicious emails. By doing so, it can make my time more efficient.

-----

### "Review Fraud.net from a user perspective" — 5.0/5

> **Malte** | *22 May 2020* | Financial Services Software | Recommendation rating: 9.0/10
> 
> **Pros**: I'm using Fraud.net now for 8 months and it is a very nice tool to detect fraud orders. I like the possibility to create rules - like the reject and review queues - which seem to work very well.  Maybe it is possible to mark orders in another color, if they are connected to fraud orders. (I know that it is done already, but i have to click on the order first. I mean it would be nice if it would be marked on the "summary page")
> 
> **Cons**: At the moment we have the problem that Fraud.net matchs the Device ID sometimes with orders which are obviously not connected to the actual one. &#10;A second problem is that Fraud.net is case sensitive (im not 100 percent sure if it is already fixed): For example I need to write for login: Surname.Lastname@... or if I want to search a person by full name, Fraud.net needs PETER PAN instead of peter pan. &#10;An improvement suggestion (not sure if this is technical possible) would be: &#10;When I am working in a filter and click by mistake on an order, it would be great if I could use the "backward-sign" from the browser. At the moment that is not possible - I have to apply the filter again on the orders.

-----

### "Support Fraud Detection" — 4.0/5

> **Markus** | *28 May 2020* | Financial Services Software | Recommendation rating: 8.0/10
> 
> **Pros**: High Flexibility in rule definition&#10;Machine Learning functionality&#10;Dynamic improvements of the software&#10;Good support
> 
> **Cons**: Release Management could be improved&#10;User experience could also slightly improved
> 
> Fraud.net is embedded in our general Risk Processing for Ecommerce business and contributes significantly in covering fraud attacks to our business.

-----

### "Make the Switch." — 5.0/5

> **Kat** | *6 June 2019* | Information Technology & Services | Recommendation rating: 10.0/10
> 
> **Pros**: It's been a great experience to utilize Fraud.net's offerings. It's a lot more than just a portal to "approve" or "cancel" transactions, as we soon found out. Within a few months, the fraud.net team showed us things we never thought were even correlated as it relates to how to spot both good and bad users. We were then able to take that data and make adjustments to some of our business practices. As a result, we are approving more good orders and getting less chargebacks. Win-win.
> 
> **Cons**: We migrated from another provider and at first it was frustrating to relearn a new product that had different (and ultimately better) capabilties, especially for an organization-wide transition. We were looking at it from a 'rules-based' solution, instead of a comprehensive fraud solution, so we had to change our mindset. Glad we did.

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## Links

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