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What is PaymentKnox?
nsKnox is a cutting-edge firm specializing in financial technology and security, dedicated to protecting businesses and banks from fraudulent activities while ensuring compliance in B2B transactions. Founded by Alon Cohen, who previously served as the CEO of CyberArk (NASDAQ: CYBR), the company delivers solutions aimed at helping organizations avoid severe financial losses, hefty fines, and damage to their reputations. In an era where cybercriminals are adopting more sophisticated strategies, such as vendor impersonation, business email compromise (BEC), and social engineering, the risk of redirecting outgoing payments to fraudulent accounts is ever-increasing. As these malicious actors refine their techniques, the financial consequences for organizations that fall victim to such schemes grow more severe. To address these challenges, nsKnox has developed PaymentKnoxâ„¢ for Accounts Payable, a technology-driven solution that minimizes the chances of human error and effectively prevents unauthorized payments. This forward-thinking approach not only safeguards corporate finances but also enhances overall confidence in the payment process, creating a more secure environment for B2B transactions. Ultimately, nsKnox stands as a vital ally for businesses striving to navigate the complexities of modern financial risks.
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.
Integrations Supported
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
Get started for free.
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
nsKnox
Date Founded
2016
Company Location
United States
Company Website
nsknox.net/paymentknox-for-accounts-payable/
Company Facts
Organization Name
Fraud.net, Inc.
Date Founded
2016
Company Location
United States
Company Website
www.fraud.net
Categories and Features
Accounts Payable
Not specified
Financial Audit
Not specified
Financial Risk Management
Not specified
Fraud Detection
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
Sales Prospecting
Not specified