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What is Verisoul Device Fingerprinting?

Verisoul has developed an advanced system that employs a variety of fingerprinting techniques to effectively match user accounts. Rather than depending on device IDs, our focus is on generating match probabilities, which greatly reduces the occurrence of false positives and the engineering workload involved. Our cutting-edge strategy tackles multi-accounting and fraud through sophisticated device fingerprinting, allowing us to restrict users from creating multiple accounts while also detecting when the same account is accessed from different devices. Furthermore, we can identify anomalies or spoofed fingerprints, thereby safeguarding user data integrity. Our method features multiple layers of device, browsing, and TCP attributes, enabling seamless user matching across various browsers—this distinctive capability sets us apart within the industry. By creating a multitude of fingerprints and opting for probabilistic matching instead of a single binary device ID, we ensure highly precise connections and significantly lower false positive rates. Our advanced spoof- and lie-detection technology further guarantees that the data received from devices accurately represents real conditions, equipping us to identify anti-detect browsers that might mislead other providers. Additionally, our system gathers device, browser, and network data without causing any perceptible delays, thereby improving the user experience and operational effectiveness. This holistic strategy not only enhances our ability to combat fraud but also positions us as leaders in the ongoing battle against deceptive practices. Ultimately, our commitment to innovation allows us to stay one step ahead of emerging threats in the digital landscape.

What is NetOwl NameMatcher?

NetOwl NameMatcher, celebrated for its superior performance in the MITRE Multicultural Name Matching Challenge, offers exceptional accuracy, rapid processing, and scalability in its name matching solutions. Utilizing a cutting-edge machine learning framework, NetOwl adeptly addresses the complex challenges associated with fuzzy name matching. Traditional techniques like Soundex, edit distance, and rule-based systems frequently struggle with precision, leading to an abundance of false positives, and recall issues that result in false negatives, particularly when faced with the varied fuzzy name matching scenarios mentioned earlier. In contrast, NetOwl adopts a data-driven, machine learning-based probabilistic approach to overcome these name matching challenges effectively. It autonomously develops advanced, probabilistic name matching rules from vast real-world datasets containing multi-ethnic name variants. Additionally, NetOwl implements specialized matching models designed for different entity types, including individuals, organizations, and geographical locations. To enhance its functionality, NetOwl incorporates automatic detection of name ethnicity, which significantly boosts its adaptability to the complexities inherent in multicultural name matching. This holistic strategy not only elevates accuracy but also ensures dependable performance across a wide array of applications. Consequently, organizations relying on precise name matching can greatly benefit from the innovative solutions provided by NetOwl.

Media

Media

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

$99 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Verisoul

Company Location

United States

Company Website

www.verisoul.ai/products/device-fingerprinting

Company Facts

Organization Name

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/name-matching-software

Categories and Features

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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