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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 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.

Free account • No credit card • 5 profiles/day

Financial Services 64 Employees Found Founded 2015 10 Similar Companies
64 Employees Found
90% Email Coverage
$6.0M Est Revenue
1 Office HQ
10 Similar Companies
Sep '26 Last Verified

Fraud.net Technology Stack

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Atlassian Cloud

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Frequently asked questions about Fraud.net

Who are the decision makers in Fraud.net?

The decision makers in Fraud.net are R Whitney Anderson, Rajeev Yadav, Oliver Clark, etc. Click to Find Fraud.net decision makers emails.

What types of fraud does Fraud.net help prevent?

Fraud.net specializes in preventing various types of fraud, including E-Commerce Fraud, Financial Service Fraud, Gaming Fraud, Marketplace Fraud, and Travel Fraud. By leveraging advanced artificial intelligence and machine learning algorithms, Fraud.net analyzes transaction data in real-time to identify and mitigate fraudulent activities across these sectors.

How does Fraud.net utilize artificial intelligence in its solutions?

Fraud.net employs artificial intelligence to enhance its fraud detection capabilities. The platform uses machine learning algorithms to analyze vast amounts of transaction data, identifying patterns and anomalies that may indicate fraudulent behavior. This allows businesses to make informed decisions quickly, reducing the risk of fraud while improving operational efficiency.

What industries does Fraud.net serve?

Fraud.net provides solutions for a variety of industries, including retail, financial services, travel, and e-commerce. By tailoring its fraud prevention strategies to the specific needs of each industry, Fraud.net helps businesses protect themselves against fraud while optimizing their operations and enhancing customer trust.

Can Fraud.net integrate with existing systems and platforms?

Yes, Fraud.net is designed to seamlessly integrate with existing systems and platforms used by businesses. Whether it's payment gateways, e-commerce platforms, or financial software, Fraud.net can be easily implemented to enhance fraud detection and prevention without disrupting current operations.

What kind of analytics does Fraud.net provide to its users?

Fraud.net offers data-enriched visual analytics that provide users with actionable insights into their transaction data. These analytics help businesses understand fraud trends, customer behavior, and operational performance, enabling them to make data-driven decisions that enhance security and improve overall business outcomes.

How can I get started with Fraud.net's services?

To get started with Fraud.net, you can visit their website and request a demo or consultation. The team will work with you to understand your specific needs and challenges, and provide a tailored solution that fits your business. Additionally, you can explore resources and case studies available on their site to learn more about how Fraud.net has helped other organizations combat fraud.