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Description
BioCatch offers sophisticated behavioral insights that empower organizations worldwide to implement actionable intelligence, thereby enhancing the security of the customer journey. By examining both the physical and cognitive digital behaviors of users, BioCatch generates vital insights that help differentiate between genuine applicants and potential cybercriminals. It identifies behavioral anomalies that signal threats from both human and automated sources, including Remote Access Tools, bots, malware, and manual account takeovers. Furthermore, BioCatch can recognize subtle behavioral cues indicating that a victim might be unknowingly led into a fraudulent money transfer. Utilizing AI-driven behavioral biometrics technology, BioCatch effectively minimizes online fraud while facilitating identity verification without sacrificing user experience. The patented solution is crafted to safeguard online identities, all while ensuring that web and mobile users enjoy a seamless interaction with digital platforms. This innovative approach not only enhances security measures but also fosters trust between organizations and their customers.
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
Integrations
Android
Apple iOS
HTML
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
BioCatch
Founded
2011
Country
New York City
Website
www.biocatch.com
Vendor Details
Company Name
TrustDecision
Founded
2018
Country
Singapore
Website
trustdecision.com/solutions/device-fingerprint
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
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