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What is ThreatMark?
ThreatMark is at the forefront of combating fraud by utilizing behavioral intelligence, enabling financial institutions to safeguard their customers from various scams and social engineering tactics. The company proactively identifies threats to digital channels, preventing fraudulent activities before they occur, unlike traditional fraud detection methods, which often fall short. In addition to assisting financial institutions and fintech partners in addressing fraud, ThreatMark significantly minimizes false positives associated with current fraud prevention measures, reduces operational expenses, and aids global partners in customer retention and revenue growth. Conventional fraud detection methods typically rely on historical transaction data, while authentication practices primarily focus on what a user knows or possesses; however, these strategies prove inadequate against scams where legitimate customers authorize fraudulent payments using their credentials, devices, and locations. By integrating its Behavioral Intelligence solution, ThreatMark enhances an institution’s fraud prevention capabilities through the analysis of largely overlooked data regarding digital interactions and user-device behavior, allowing for the identification of transactions that occur under duress or manipulation by fraudsters, ultimately strengthening the overall security framework of financial institutions.
What is Fraud.net?
Best-in-class, Fraud.Net offers an AI-driven platform that empowers enterprises to combat fraud, streamline compliance, and manage risk at scale—all in real-time. Our cutting-edge technology detects threats before they impact your operations, providing highly accurate risk scoring that adapts to evolving fraud patterns through billions of analyzed transactions.
Our unified platform delivers complete protection through three proprietary capabilities: instant AI-powered risk scoring, continuous monitoring for proactive threat detection, and precision fraud prevention across payment types and channels. Additionally, Fraud.Net centralizes your fraud and risk management strategy while delivering advanced analytics that provide unmatched visibility and significantly reduce false positives and operational inefficiencies.
Trusted by payments companies, financial services, fintech, and commerce leaders worldwide, Fraud.Net tracks over a billion identities and protects against 600+ fraud methodologies, helping clients reduce fraud by 80% and false positives by 97%. Our no-code/low-code architecture ensures customizable workflows that scale with your business, and our Data Hub of dozens of 3rd party data integrations and Global Anti-Fraud Network ensures unparalleled accuracy.
Fraud is complex, but prevention shouldn't be. With FraudNet, you can build resilience today for tomorrow's opportunities. Request a demo today.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing is driven by the number of digital channels and the number of clients using them.
Pricing Information
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Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
ThreatMark
Date Founded
2015
Company Location
USA
Company Website
www.threatmark.com
Company Facts
Organization Name
Fraud.net, Inc.
Date Founded
2016
Company Location
United States
Company Website
www.fraud.net
Categories and Features
eCommerce Fraud Protection
Not specified
Fraud Detection
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Insurance Industry
Pattern Recognition
Transaction Approval
Identity Verification
Not specified
RegTech
Not specified
Categories and Features
AML
Not specified
Click Fraud
Activity Monitoring
IP Address Monitoring
Risk Assessment
Data Visualization
Not specified
Decision Support
Not specified
Deep Learning
Not specified
eCommerce
Order Management
Returns Management
eCommerce Fraud Protection
Not specified
Financial Risk Management
Compliance Management
Operational Risk Management
Fraud Detection
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Machine Learning
Deep Learning
Payment Processing
Not specified
Predictive Analytics
AI / Machine Learning
Data Mining