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Description
Combat fraud effectively using the extensive network of Stripe. With Radar, businesses can identify and prevent fraudulent activity through advanced machine learning algorithms that draw insights from the data of millions of global enterprises. Seamlessly integrated into Stripe, it requires no extra setup to begin utilizing its features. Traditional fraud prevention systems often fall short for today's digital enterprises, but Radar empowers you to differentiate between genuine customers and fraudsters while implementing Dynamic 3D Secure for transactions deemed high-risk. Our machine learning infrastructure enables daily updates to enhance the precision of the models, including those tailored to your specific business needs. Additionally, Radar's algorithms swiftly adjust to evolving fraud trends and cater to the distinct characteristics of your company. Stripe facilitates payment processing across 195 countries, encompassing a wide array of sectors, sizes, and business models. Moreover, even if a card is unfamiliar to you, there is a remarkable 89% likelihood that it has already been vetted through the Stripe network, showcasing the extensive reach and reliability of our fraud detection solutions. This extensive capability ensures that your business remains protected as you navigate the complexities of online transactions.
Description
ThreatMark leads in the fight against fraud by deploying behavioral intelligence to help financial institutions protect their customers from scams and social engineering fraud.
ThreatMark detects attacks against the digital channel and defends against fraud before it happens. Other approaches to fraud detection are unable to do this. Not only does ThreatMark help our partners at financial institutions and fintechs combat fraud, it reduces false positives of existing fraud controls, lowers operational costs, and helps our partners from around the world retain customers and grow revenue.
Traditional, transaction-based, fraud controls look at history. Authentication mechanisms look at what a user knows and what a user has. Both of these approaches are ineffective in defending against scam and social engineering. In scams, fraudulent payments are fully authorized by the legitimate customer, using their legitimate user id and password, typical device, and typical location. ThreatMark’s Behavioral Intelligence solution augments an institution’s fraud defenses by using largely untapped data from digital channel behavior and user + device interactions to detect transactions performed under stress or the influence of a fraudster.
API Access
Has API
API Access
Has API
Pricing Details
¢5 per transaction reviewed
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Stripe
Founded
2010
Country
United States
Website
stripe.com/radar
Vendor Details
Company Name
ThreatMark
Founded
2015
Country
USA
Website
www.threatmark.com
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval