logo
Book a meeting
Fraud.net

Fraud.Net

Financial Services, 330 7th Ave, New York, 10001, United States, 51-200 Employees

fraud.net

  • facebook
  • twitter
  • LinkedIn

phone no Phone Number: +18*********

Who is FRAUD.NET

Combining the powers of artificial intelligence and collaboration, Fraud.net helps online merchants, travel agencies and financial services companies eliminate payment fraud and superchar...

Read More

lock icon Get Full Access
map
  • 330 7th Ave, New York, New York, 10001, United States Headquarters: 330 7th Ave, New York, New York, 10001, United States
  • 2015 Date Founded: 2015
  • 51-200 Employees: 51-200
  • dollar-icon Revenue: $5 Million to $10 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Financial Services

SIC SIC Code: 7375

checked-icon Does something look wrong? Fix it. | View contact records from FRAUD.NET

email-formate-icon
View Email Formats for Fraud.net
arrow
signout-image
You are signed out

Sign in to CIENCE GO Data to uncover contact details

Join Now

crown-icon Free credits every month

Frequently Asked Questions Regarding Fraud.net

Answer: Fraud.net's headquarters are located at 330 7th Ave, New York, 10001, United States

Answer: Fraud.net's phone number is +18*********

Answer: Fraud.net's official website is https://fraud.net

Answer: Fraud.net's revenue is $5 Million to $10 Million

Answer: Fraud.net's SIC: 7375

Answer: Fraud.net has 51-200 employees

Answer: Fraud.net is in Financial Services

Answer: Fraud.net contact info: Phone number: +18********* Website: https://fraud.net

Answer: Combining the powers of artificial intelligence and collaboration, Fraud.net helps online merchants, travel agencies and financial services companies eliminate payment fraud and supercharge their operations with real-time, data-enriched visual analytics. The cost of cybercrime is projected to soar to $8 Trillion by 2022, according to Juniper Networks. While digital commerce of all kinds continue to grow quickly, online payment crimes are rising faster as new payment platforms, international markets and systems complexity create troubling new risks for global enterprises. Fraud.net's unified algorithmic architecture combines 1) collective intelligence, 2) cognitive computing (such as dynamic machine learning) and 3) rules-based decision engines to detect fraud in real-time, at scale. The platform delivers unprecedented business intelligence and embedded control through its comprehensive risk management and analytics solutions.

Answer:

Premium Sales Data for Prospecting

  • Sales data across over 200M records

  • Up-to-date records (less decayed data)

  • Accurate Email Lists (real-world tested)

  • Powerful search engine and intuitive interface

lock icon Get Full Access