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Description
SEAP® for Mobile serves as an SDK that seamlessly integrates into the customer's application without the need for special permissions, while SEAP® for Web utilizes JavaScript to function within the web browser environment, eliminating the requirement for agent installation. This innovative system identifies malware threats across both mobile and web platforms, including sophisticated attacks such as man-in-the-browser, man-in-the-app, remote access trojans (RAT), web injections, overlay attacks, SMS grabbing, memory tampering, and various forms of injection attacks. Additionally, SEAP® is capable of detecting and reporting technological vulnerabilities on devices, such as jailbreaking, rooting, attempts at reverse engineering, binary tampering, and repacking. For certain device conditions detected, the app can activate countermeasures through dedicated RASP APIs. Furthermore, SEAP® also identifies fraudulent activities that compromise existing user accounts by employing behavioral biometrics and device identity verification methods, ensuring enhanced security for users. This comprehensive approach to threat detection not only safeguards applications but also fortifies user trust in digital environments.
Description
Accurately differentiating between authentic users and potential threats requires the real-time identification of unique devices and the analysis of global historical data. However, device characteristics may evolve over time, which can lead to misidentifying the same device as a different entity. It is essential to gather ample data while ensuring user privacy is upheld, particularly in light of rigorous data protection laws. As new devices and operating systems are frequently introduced, remaining current and flexible is crucial for effective identification. Additionally, linking multiple device profiles to a single user necessitates a robust capability for cross-device tracking to maintain accuracy. There is also the challenge of manipulating user-agent information sent by browsers or applications to replicate legitimate device behavior. Maintaining a distinct device ID can be complicated when it faces tampering, modifications, or hijacking attempts. Moreover, distinguishing each device becomes increasingly difficult in challenging scenarios, such as factory resets, altered device locations, the detection of group control tools, script-based manipulations, and app reinstalls. Continuous innovation in detection techniques will be essential to address these evolving challenges effectively.
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
XTN Cognitive Security
Founded
2014
Country
Italy
Website
xtncognitivesecurity.com/in-app-protection/
Vendor Details
Company Name
TrustDecision
Founded
2018
Country
Singapore
Website
trustdecision.com/solutions/device-fingerprint