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What is QuickSet Cloud Device Knowledge Graph?

A global device knowledge graph provides structured and detailed insights into electronic devices, outlining their features, functionalities, and the relationships between them. Each household device carries a variety of attributes, such as its brand, model number, manufacturer details, available features and services, both hardware and software characteristics, compatible devices, geographical information, and much more. This extensive repository of knowledge on nearly every audiovisual gadget worldwide is maintained within QuickSet’s device knowledge graph. Utilizing this graph, QuickSet is able to deliver a broad range of features for each device, going beyond simple control options. Moreover, the knowledge graph adds crucial context to user commands and actions, enabling the real-time detection of nearby devices. The algorithms that QuickSet employs rely on the knowledge graph, which includes devices with various control options, communication methods, and protocols, thereby ensuring smooth interactions between devices. Ultimately, this interconnected framework significantly enhances the user experience by streamlining device management, making it not only easier but also more effective. Additionally, users benefit from the seamless integration of multiple devices, allowing for a more cohesive smart home environment.

What is IPQS Device Fingerprinting?

Leverage over 25 unique data metrics to gain in-depth insights into device fingerprinting that evaluates both risks and device traits. The device fingerprinting solution offered by IPQS serves as a remarkable fraud detection tool, adept at identifying even the most cunning fraudsters, malicious actors, and cybercriminals. By examining more than 300 data points—including operating systems, screen resolutions, and installed fonts—it successfully reveals counterfeit devices, location spoofing, and dubious behavior linked to a user’s online presence. This innovative technology is capable of recognizing bots, automated actions, device impersonation, and other signs that may indicate fraudulent motives. You can opt for JavaScript device fingerprinting for web environments or utilize our SDKs tailored for mobile applications across both iOS and Android platforms. With its powerful risk assessment features, IPQS effectively identifies fraudulent accounts, chargeback attempts, credential stuffing incidents, and automated activities that suggest misuse. Moreover, the Device Fingerprinting solution from IPQS is proficient in uncovering advanced fraud strategies, including those involving cutting-edge emulator software, thereby providing a holistic defense against emerging threats. This state-of-the-art detection system not only bolsters security measures but also plays a pivotal role in helping businesses preserve trust among their genuine users, ensuring a safer digital ecosystem. Overall, the comprehensive analysis delivered by this technology enables organizations to stay one step ahead of potential fraud.

Media

Media

Integrations Supported

Integrations Supported

BigCommerce
Chargebee
GetResponse
Google Sheets
HubSpot Customer Platform
JavaScript
Konnektive
LinkTrust
Magento
PayPal
PrestaShop
Slack
SpiderFoot
Splunk Cloud Platform
Square POS
Squarespace
SurveyMonkey
Twilio
WHMCS
Zapier

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

QuickSet Cloud

Company Location

United States

Company Website

quicksetcloud.com/device-knowledge-graph/

Company Facts

Organization Name

IPQualityScore

Company Location

United States

Company Website

www.ipqualityscore.com/device-fingerprinting

Categories and Features

Device Fingerprinting

Not specified

Categories and Features

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