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Average Ratings 0 Ratings
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
Yes
API Access
Has API
Yes
Integrations
Accertify
Yes
Cybersource
Yes
Dataview360
Yes
Decisimo
Yes
Equifax BusinessConnect
Yes
Experian Identity Verification
Yes
Feedzai
Yes
Fraud.net
Yes
Kount
Yes
Q2
No
Integrations
Accertify
No
Cybersource
No
Dataview360
No
Decisimo
No
Equifax BusinessConnect
No
Experian Identity Verification
No
Feedzai
No
Fraud.net
No
Kount
No
Q2
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Pricing is driven by the number of digital channels and the number of clients using them.
Free Trial
No
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
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
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
No
Check Fraud Monitoring
Yes
Custom Fraud Parameters
Yes
For Banking
Yes
For Crypto
No
For Insurance Industry
Yes
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
Yes
Transaction Approval
Yes