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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

For many years, the Asset Based Lending (ABL) sector has voiced several concerns. Clients have been seeking a method to archive the AssetReader data, which would allow them to analyze simple trends, compare Borrowing Bases, and monitor concentration balances over time while enabling more precise confirmations through an optional module. The programmers expressed a desire to implement artificial intelligence (AI) to work with the data, while both developers and owners were eager to create innovative solutions that leverage this technology. With an impressive 33 years of combined experience in ABL, encompassing audit, operations, fraud investigations, and esteemed ABL training programs, the FinSoft team has developed a much-needed AI tool that the ABL industry has long awaited—providing easily accessible alerts regarding exceptions, anomalies, and unusual items. This innovative approach aims to enhance decision-making processes and ultimately improve overall efficiency within the sector.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Q2 No 

Integrations

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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

FinSoft

Website

www.finsoft.net

Vendor Details

Company Name

ThreatMark

Founded

2015

Country

USA

Website

www.threatmark.com

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters Yes 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes Yes 
Pattern Recognition No 
Transaction Approval No 

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 

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