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Fraud.net

Fraud.net

Financial ServicesFlag of USManhattan, New York, United States51-100 Employees

Company overview

Headquarters1325 Avenue of the Americas, 27th Floor, New York, NY 10019, US
Phone number+18669712030
Website
NAICS52
SIC737
Keywords
Analytics, Cyber Security, Information Security, Financial Services, Payments, Travel, Fraud, Security, Ecommerce, Big Data, Fintech, Machine Learning, Enterprise, E-Commerce Fraud, Financial Service Fraud, Travel Fraud, Rick Management
Founded2015
Employees51-100
Socials

Key Contacts at Fraud.net

Flag of US

Whitney Anderson

Co-Founder & Board Member

Flag of US

Cathy Ross

Co-Founder - Board Member

Flag of DE

Neil Govender

Sales Director - Europe

Flag of IN

Dushyant Parikh

Sales Director

Flag of US

Dorothy Murach Plumitallo

Director Of Product Marketing

Fraud.net Email Formats

Fraud.net uses 5 email formats. The most common is {first initial} (e.g., j@fraud.net), used 58.3% of the time.

FormatExamplePercentage
{first initial}
j@fraud.net
58.3%
{first initial}.{last name}
j.doe@fraud.net
16.7%
{first name}
john@fraud.net
16.7%
{first name}.{last name}
john.doe@fraud.net
4.2%
{last name}
doe@fraud.net
4.2%

About Fraud.net

Transform your fraud, risk, and compliance management with Fraud.Net's AI-driven platform for enterprises. Our solutions help you stay ahead of threats by leveraging insights from billions of analyzed transactions, and our flexible no-code/low-code architecture scales effortlessly as you grow. Our end-to-end platform includes comprehensive screening for smoother onboarding and improved compliance, continuous monitoring with proactive identify new threats, and precision fraud detection across channels and payment types. Proprietary machine learning models analyze transactions and entity behavior to deliver customized detection for your unique business needs, with anomaly detection and risk-scoring of unmatched accuracy. Leading payments companies, financial institutions, fintechs, and e-commerce brands trust Fraud.Net worldwide, and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. Why settle for outdated fraud prevention? Request a demo today to discover how Fraud.Net can strengthen your business.

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Fraud.net revenue & valuation

Annual revenue$6,000,000
Revenue per employee$90,000
Estimated valuation?$19,200,000
Total funding$5,000,000

Employees by Management Level

Total employees: 51-100

Seniority

Employees

Entry
Manager
Senior

Employees by Department

Fraud.net has 30 employees across 9 departments.

Departments

Number of employees

Funding Data

Explore Fraud.net's funding history, including investment rounds, total capital raised, and key backers.

Funding Date
Round
Amount
Link to Article
2019-10-204$5,000,000

Funding Insights

$5,000,000

Total funding amount

$5,000,000

Most recent funding amount

1

Number of funding rounds

Fraud.net Tech Stack

Discover the technologies and tools that power Fraud.net's digital infrastructure, from frameworks to analytics platforms.

reCAPTCHA

reCAPTCHA

Security

Vimeo

Vimeo

Video players

Goober

Goober

JavaScript libraries

Hotjar

Hotjar

Analytics

Zoominfo

Zoominfo

Analytics

jQuery Migrate

jQuery Migrate

JavaScript libraries

Twitter Emoji

Font scripts

Yoast SEO Premium

Yoast SEO Premium

SEO

jQuery

jQuery

JavaScript libraries

HubSpot Analytics

HubSpot Analytics

Analytics

Google Ads

Google Ads

Advertising

HTTP/3

HTTP/3

Miscellaneous

Frequently asked questions

Fraud.net is located in Manhattan, New York, US.
You can reach Fraud.net at +18669712030.
Fraud.net was founded in 2015, making it 11 years old. The company has established itself as a significant player in its industry over this time.
Fraud.net has approximately 51-100 employees. The company continues to grow its workforce to support its business operations and expansion.
Fraud.net has raised a total of $5,000,000 across 1 funding rounds. This investment has helped the company grow and expand its operations.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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