Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enforcement offers a robust defense that deters fraudsters from conducting attacks in the first place. Arkose Labs employs a cutting-edge method of step-up authentication that introduces varying levels of risk-based friction, thereby exhausting the resources of fraudsters while providing genuine customers with an enjoyable means to validate their identity. This enforcement mechanism operates as a challenge-response system, working seamlessly with Telemetry to verify requests that are unfamiliar. As a result, only authentic interactions are forwarded to the enterprise, ensuring that digital businesses can confidently engage with true customers. Arkose Labs’ strategy effectively transfers the focus of potential attacks from the business itself to their own platform, thereby enhancing security. By rerouting dubious sessions to an independent verification platform, a protective barrier is established between fraudsters and their usual targets, transforming the landscape of attack strategies. Consequently, businesses can conserve their valuable resources and efforts, no longer needing to address the fallout from attacks. This innovative approach not only safeguards transactions but also reshapes industry standards for online security.
Description
Our cutting-edge fraud prevention system meticulously evaluates every user to identify and eliminate potentially harmful ones while ensuring a seamless experience for your genuine customers. This process occurs effortlessly and in real-time, allowing you to gain insights into your users across your website and mobile applications on both Android and iOS. By utilizing our highly accurate financial transaction fraud detection tools, you can enhance your acceptance rates and significantly lower your fraud and chargeback ratios. There’s no need for manual reviews unless absolutely necessary, meaning your customers are not disrupted, and you receive robust fraud protection. We focus on delivering more legitimate transactions by effectively thwarting fraudsters with exceptional accuracy. Our solution not only provides a competitive advantage but also guarantees effectiveness across various platforms, including web browsers and native mobile applications. By identifying fraudulent activities and preventing them, we safeguard your operations against over 100 pertinent fraud tactics, continually updating our strategies to keep pace with the constantly changing landscape of fraud. Additionally, our commitment to innovation ensures that your business remains protected against emerging threats in real-time.
API Access
Has API
No
API Access
Has API
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.03 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Arkose Labs
Founded
2008
Country
United States
Website
www.arkoselabs.com
Vendor Details
Company Name
Nethone
Country
Poland
Website
nethone.com
Product Features
Cybersecurity
AI / Machine Learning
Yes
Behavioral Analytics
Yes
Endpoint Management
Yes
IOC Verification
Yes
Incident Management
Yes
Tokenization
Yes
Vulnerability Scanning
Yes
Whitelisting / Blacklisting
Yes
Product Features
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No