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Description
Outseer Fraud Manager serves as a sophisticated platform for managing transactional risk, employing advanced machine learning techniques alongside a robust policy engine to effectively evaluate and minimize risks at every stage of the digital customer journey. By harnessing insights derived from cutting-edge data science technologies that have been validated in high-risk scenarios, businesses can better guard against emerging fraud patterns using exclusive consortium data. Users can take advantage of risk models that have been refined through analyzing billions of transactions across some of the largest financial institutions globally. This platform allows for seamless integration of insights derived from both authentication and payment transactions, enhancing risk scoring by incorporating both first-party and third-party data signals. With the capability to implement uniform risk controls across all customer interactions, businesses can utilize standardized risk scores to strike a balance between mitigating fraud, enhancing customer experience, and managing operational expenses. Additionally, it supports the implementation of policy adjustments in response to the ever-evolving landscape of threats. Continuous collaboration with our team of experts ensures ongoing improvements and enables comparative analysis with peers in similar sectors. Ultimately, this comprehensive approach empowers organizations to maintain a proactive stance against fraud while fostering trust with their customers.
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
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
Outseer
Country
United States
Website
www.outseer.com/products/outseer-fraud-manager/
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