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Description
Our platform, powered by machine learning, provides immediate visibility into your traffic, enabling you to recognize users even if they attempt to conceal their identities. It effectively identifies attacks and bots, offering a wealth of real-time analytics while employing cutting-edge identification methods. Compatible with leading browsers and programming languages, our service allows seamless user identification across various devices and platforms. The culmination of our thorough identification process results in a detailed response that includes a unique and persistent identifier for each device, ensuring consistent recognition of users throughout different sessions. Additionally, you will receive in-depth insights regarding the client's device, which are derived from our sophisticated fingerprinting methodologies and machine learning evaluations. This extensive data encompasses various parameters such as browser versions, operating systems, and potential threat assessments, providing an all-encompassing overview of user interactions. Ultimately, this empowers businesses to make informed decisions based on user behavior and device characteristics.
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
Blisk
Electron
Flutter
HTML
JavaScript
Konqueror
Microsoft Edge
Opera
Integrations
Android
Apple iOS
Blisk
Electron
Flutter
HTML
JavaScript
Konqueror
Microsoft Edge
Opera
Pricing Details
$50 per month
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
DeviceID
Country
United States
Website
deviceid.io
Vendor Details
Company Name
TrustDecision
Founded
2018
Country
Singapore
Website
trustdecision.com/solutions/device-fingerprint