private:fraudnet
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3005998
|
Feb 27th, 2023 12:00AM
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Fraud.net
|
5.3K
|
42.00
|
Open
|
Software Development
|
Feb 26th, 2023 08:35PM
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Feb 26th, 2023 08:35PM
|
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.
|
Open
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Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, and security
|
Open
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330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Feb 23rd, 2023 12:00AM
|
Fraud.net
|
5.3K
|
41.00
|
Open
|
Software Development
|
Feb 23rd, 2023 10:42AM
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Feb 23rd, 2023 10:42AM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, and security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Feb 21st, 2023 12:00AM
|
Fraud.net
|
5.3K
|
41.00
|
Open
|
Software Development
|
Feb 21st, 2023 12:14AM
|
Feb 21st, 2023 12:14AM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, and security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Feb 10th, 2023 12:00AM
|
Fraud.net
|
5.3K
|
41.00
|
Open
|
Software Development
|
Feb 10th, 2023 12:40PM
|
Feb 10th, 2023 12:40PM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, and security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Jan 20th, 2023 12:00AM
|
Fraud.net
|
5.2K
|
41.00
|
Open
|
Computer Software
|
Jan 20th, 2023 09:28AM
|
Jan 20th, 2023 09:28AM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Jan 11th, 2023 12:00AM
|
Fraud.net
|
5.1K
|
40.00
|
Open
|
Computer Software
|
Jan 11th, 2023 01:24AM
|
Jan 11th, 2023 01:24AM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Dec 19th, 2022 12:00AM
|
Fraud.net
|
5.0K
|
40.00
|
Open
|
Computer Software
|
Dec 18th, 2022 09:09PM
|
Dec 18th, 2022 09:09PM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Nov 22nd, 2022 12:00AM
|
Fraud.net
|
4.9K
|
39.00
|
Open
|
Computer Software
|
Nov 22nd, 2022 02:41AM
|
Nov 22nd, 2022 02:41AM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Oct 12th, 2022 12:00AM
|
Fraud.net
|
4.7K
|
41.00
|
Open
|
Computer Software
|
Oct 12th, 2022 09:56AM
|
Oct 12th, 2022 09:56AM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|
private:fraudnet
|
3005998
|
Oct 11th, 2022 12:00AM
|
Fraud.net
|
4.7K
|
41.00
|
Open
|
Computer Software
|
Oct 11th, 2022 12:15PM
|
Oct 11th, 2022 12:15PM
|
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.
|
Open
|
Fraud, E-Commerce Fraud, Payments, Financial Service Fraud, Marketplace Fraud, Gaming Fraud, Travel Fraud, cyber security, ecommerce, fintech, financial services, travel, retail, information security, machine learning, rick management, big data, analytics, enterprise, security
|
Open
|
330 7th Avenue
|
New York
|
NY
|
US
|
10001
|
|
Fraud.net
|
|
|