Enhance your Digital Banking.
All capabilities in one Solution.
One Solution for all purposes.
against present and forthcoming threats.
ThreatMark created neXtGEN security methods as Digital Identity Sensing Technology (DIST) that analyzes users transactions and active operation, browsing habits, GUI interaction, device characteristics, and geolocation to ensure it legitimate application users. ThreatMark also has a unique system for malware detection and user protection. These capabilities are accompanied by the best techniques and approaches traditionally found in solutions like Fraud Detection Systems (FDS), Web Fraud Detection (WFD), Web application Firewall (WAF), Malware & Phishing detection makes it an exceptionally effective and universal solution for modern fraud protection.
You simply implement one tool and get the synergy of all its amazing components and methods that makes your applications ready for new threats.
Everything is deployed and configured in a matter of days with minimal impact on current systems and for a fraction of the cost compared to traditional fraud detection systems.
Client-less fraudulent malware detection
We are different
Biometry augmented continuous adaptive authentication
Additional layer of protection to the traditional credentials entry based dialogs by implementing mouse movement biometrics and keystroke dynamics. For each user session the risk is continuously calculated based on this profile and other crime logic indicators to mark suspicious transactions.
User behavior anomaly detection
Machine learning methods, evaluated by risk engine, speed of velocity of navigation, navigated page, click map, actions performed etc., significantly helps to mitigate fraudulent cases with fraudulent account access (account takeover).
Advanced device fingerprinting
Precise user device identification using new HTML5 features & traditional IP/browser/environment approach makes distinguishing between authorized users and criminals easier than ever.
Adaptive security issues evaluation using fraud analysis feedback
Automatically created (both signature and AI based) detections are marked as false or true positive by a human fraud analytic, machine learning algorithms automatically adapts on human feedback which significantly improves false positive to false negative ration in further detections.
Digital Identity Sensing
We start with behavior and biometrics characteristic sensing for each user interaction with the protected application. This enables us to tell whether the digital identity is of a legitimate client or an attacker. This also greatly improves detection efficiency of all detection methods applied thereafter. On top of these traditional approaches, we are continuously honing malware detection methods together with additional layers of security.
Enough data to spot any problem
ThreatMark keeps a complete audit trail of every user session on the level of user clicks and mouse moves, including events such as transactions, failed logins and password resets, as well as device switches and IP address changes. This will not only help us to detect even the most obscure fraud schemes but also helps you to investigate any attacks or user complaints.
We have created a briliant solution facing all possible digital threats.
All capabilities in one Solution. One Solution for all purposes.
BENEFITS & ADVANTAGES
Fewer passwords and tokens
More secure transactions
More trusted relations
Better user experience
DIGITAL BUSINESS BENEFITS
Less Present and Future attack
Better client experience
New digital service models
Minimal maintenance needed
Fully managed by TM
No additional cost
No visible effects on current system performance or stability
Minimal changes in current infrastructure
No changes in current applications
In 3 steps:
TM Web Server Module installation
TM Analytics Server setup
Redirects, FW rules update
Can be done in days not months!