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Description
Identify and prevent the establishment of fraudulent user accounts, effectively thwarting those who seek to exploit loyalty programs. By cross-referencing customer information with reliable data sources, organizations can enhance their confidence in evaluating risks. Combat payment fraud by making precise risk decisions at every stage of the transaction process, whether before, during, or after authorization. Streamline the authorization process to minimize customer friction during transactions. Utilizing advanced data science and machine learning techniques, the Ekata Identity Engine integrates two unique datasets: the Ekata Identity Graph and the Ekata Identity Network. These datasets focus on fundamental identity attributes, which are transformed into insights that empower businesses to make informed risk assessments regarding their clientele. By confirming a greater number of legitimate interactions, companies can effectively expand and maintain their customer base. Additionally, by capturing more instances of fraud, businesses can safeguard their financial interests. Rapid risk evaluations allow for the approval of more legitimate transactions, ensuring that fraudulent activities are blocked while simultaneously welcoming more trustworthy customers into the fold. Ultimately, this approach not only strengthens security measures but also enhances customer satisfaction and loyalty.
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
Integrations
Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Kount
Q2
Integrations
Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Kount
Q2
Pricing Details
No price information available.
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
Mastercard
Founded
1966
Country
United States
Website
ekata.com
Vendor Details
Company Name
ThreatMark
Founded
2015
Country
USA
Website
www.threatmark.com
Product Features
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