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Description
Enhance your ability to swiftly tackle emerging threats while minimizing false positives to improve the overall customer experience. Our comprehensive fraud detection and prevention system accommodates various channels and business sectors, facilitating enterprise-wide oversight through a unified platform. This solution streamlines the integration of data, allowing you to amalgamate internal, external, and third-party information to develop a predictive model finely tuned to your organization's specific requirements. By consolidating this data within a single technological framework, you gain the adaptability to expand or modify your operations as your business evolves, enabling a quicker response to new threats as they surface. It is essential to remain vigilant against evolving tactics and novel fraud schemes. Utilizing integrated machine learning techniques, the system can identify and adjust to shifts in behavioral patterns, resulting in stronger and more efficient models. Additionally, critical technological elements enable the swift identification of anomalies specific to each customer, while in-memory processing guarantees rapid response times with high throughput and minimal latency, ensuring your operations remain agile and effective. This holistic approach not only safeguards your assets but also fosters trust and satisfaction among your clientele.
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
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
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/fraud-management.html
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