What Is Fraud.net?

Increase revenues and reduce fraud, affordably. Recognized in Gartner’s Market Guide for Online Fraud Detection, Fraud.net is a leading KYC/AML, fraud prevention and fraud detection platform for enterprises in the financial services and digital commerce sectors.

Our powerful SaaS solution combines AI & deep learning, collective intelligence, rules-based decision engines, and streaming analytics to detect fraud in real-time, at scale.

Request a demo today to learn more!

Who Uses Fraud.net?

Enterprise digital risk management platform that drives savings through fraud mitigation, cloud migration, and customized digitization. Mid-market companies can access free tools and capabilities.

Where can Fraud.net be deployed?

Cloud-based
On-premise

About the vendor

  • Fraud.net
  • Located in New York, US
  • Founded in 2013

Fraud.net support

  • Phone Support
  • Chat

Countries available

Afghanistan, Albania, Algeria, Angola, Antigua & Barbuda and 166 others

Languages

English

Fraud.net pricing

Starting Price:

$0.02/month
  • Yes, has free trial
  • No free version

Fraud.net does not have a free version but does offer a free trial. Fraud.net paid version starts at $0.02/month.

get a free trial

About the vendor

  • Fraud.net
  • Located in New York, US
  • Founded in 2013

Fraud.net support

  • Phone Support
  • Chat

Countries available

Afghanistan, Albania, Algeria, Angola, Antigua & Barbuda and 166 others

Languages

English

Fraud.net videos and images

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Features of Fraud.net

  • AI/Machine Learning
  • AML Compliance
  • Access Management
  • Activity Monitoring
  • Alerts/Notifications
  • Anomaly Detection
  • Audit Management
  • Behavioral Analytics
  • Biometrics
  • Compliance Management
  • Compliance Tracking
  • Contact Database
  • Core Banking
  • Custom Fraud Rules
  • Customer Accounts
  • Dashboard
  • Data Management
  • Data Verification
  • Exceptions Management
  • Financial Transaction Approval
  • Fraud Detection
  • Identity Verification
  • Mobile Access
  • Multiple Authentication Methods
  • Payment Fraud Prevention
  • Real-time Alerts
  • Reporting & Statistics
  • Reporting/Analytics
  • Response Management
  • Risk Analytics
  • Risk Assessment
  • Risk Management
  • Risk Reporting
  • Risk Scoring
  • Transaction Monitoring
  • Watch List
  • Workflow Management

Fraud.net Alternatives

Cloud-based solution that efficiently processes credit card, private label card, procurement card, electronic check, and ACH payments.
Feedzai is the market leader in fighting financial crime with AI. Our platform is purpose-built for financial institutions of all sizes
Persona provides companies with configurable identity infrastructure for KYC, AML, KYB, fraud detection, onboarding, and more.
Addon for Salesforce, Flexicompliance is the 1st Independent KYC/KYB tool available on Appexchange for secured and worldwide process.
We’re Paytm Intelligence, or Pi for short. We help growth-stage fintechs stop fraud at every milestone of the customer journey.
ThreatMark enables banks to secure trusted banking experiences with legitimate users, seamlessly across all digital channels.
TurnKey Lender platform automates all parts of the lending process for consumer and commercial creditors worldwide.
Tackle projects and improve workflows with Wrike’s work management software. Remove barriers, find clarity, and exceed goals.
FORM OpX improves operational compliance by digitizing audits and inspections on mobile to reduce risk and improve safety and quality.

Fraud.net Reviews for Indian Users

Average score

Overall
4.9
Ease of Use
4.8
Customer Service
4.8
Features
4.6
Value for Money
4.8

Reviews by company size (employees)

  • <50
  • 51-200
  • 201-1,000
  • >1,001

Find reviews by score

5
88%
4
13%
Verified Reviewer
Electrical Engineer in US
Verified LinkedIn User
Medical Devices, 2-10 Employees
Used the Software for: Free Trial
Reviewer Source

Great real-time monitoring

5.0 2 years ago

Comments: 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.

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.

Malte
Working Student - Risk and Fraud Management in Germany
Financial Services, 501-1,000 Employees
Used the Software for: 6-12 months
Reviewer Source

Review Fraud.net from a user perspective

5.0 3 years ago

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. 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: [email protected] or if I want to search a person by full name, Fraud.net needs PETER PAN instead of peter pan. An improvement suggestion (not sure if this is technical possible) would be: 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.

Markus
Director Risk & Fraud in Germany
Financial Services, 201-500 Employees
Used the Software for: 2+ years
Reviewer Source

Support Fraud Detection

4.0 3 years ago

Comments: Fraud.net is embedded in our general Risk Processing for Ecommerce business and contributes significantly in covering fraud attacks to our business.

Pros:

High Flexibility in rule definition Machine Learning functionality Dynamic improvements of the software Good support

Cons:

Release Management could be improved User experience could also slightly improved

Alternatives Considered: CyberSource

Reasons for Switching to Fraud.net: Higher flexibility Machine Learning

Kat
Payments in US
Information Technology & Services, 11-50 Employees
Used the Software for: 6-12 months
Reviewer Source

Make the Switch.

5.0 4 years ago

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.

Lukas
Internation Risk & Portfolio Manager in Germany
Financial Services, 201-500 Employees
Used the Software for: 2+ years
Reviewer Source

Best fraud prevention platform to reduce customer's fraud!

5.0 2 years ago

Comments: Very good support. F.Net cares about feedback and the desire for customizations.

Pros:

In addition to the real-time (AI-powered) fraud detection, there are options for case management and analytics (elastic search). I think it's good that this tool can display all the information for evaluating a case on one page (all information!). It is very good that a freely definable rule can be created from all possible data points.

Cons:

Dealing with more than one seller from one cockpit (Rules, seller specifications, Additional data points).