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What is Tungsten FraudOne?

Conventional methods for check clearing often focus on the legal limits and courtesy thresholds of check amounts, which typically leads to low-risk evaluations and the risk of false positives. However, Tungsten FraudOne's software revolutionizes counterfeit check detection through a cutting-edge fraud scoring engine that can be seamlessly combined with multiple verification tools, thereby enhancing the ability to uncover complex fraud schemes. By implementing flexible fraud detection tactics during both the capture and clearing phases, especially as the landscape of transaction methods like mobile deposits changes, companies can significantly optimize their operations. This advanced approach reduces the need for time-consuming manual reviews of false positives by efficiently distinguishing between suspicious and legitimate items. Additionally, it enhances customer confidence by offering protections against signature forgeries, alterations to checks, and fraudulent discrepancies. With greater accuracy in identifying potential threats, organizations can analyze a larger volume of suspicious checks in less time, allowing them to examine all checks rather than focusing solely on those of higher value. Consequently, this fosters a more streamlined and reliable check verification process, ultimately leading to enhanced financial security for businesses. In this evolving digital age, adopting such innovative solutions becomes essential for maintaining integrity in financial transactions.

What is Scalarr?

Scalarr presents an innovative solution for detecting mobile ad fraud by leveraging state-of-the-art Machine Learning technology. To address the most pressing issues in mobile advertising, Scalarr implements a dual-layered strategy featuring next-generation algorithms that boast an outstanding accuracy rate of up to 97% in recognizing various types of in-app fraud. Users can take advantage of Scalarr’s offerings by delving into its capabilities to monitor, assess, and prevent mobile app install ad fraud through its unsupervised machine learning functionalities before any damage occurs. The platform effectively employs both unsupervised and semi-supervised machine learning methods to autonomously identify and comprehend fraud patterns within extensive datasets. By analyzing numerous clicks, installs, and post-install event variables, Scalarr greatly reduces the occurrence of both false positives and false negatives in its detection framework. With a sophisticated model designed to prioritize accuracy and thoroughness, Scalarr emerges as a powerful tool that delivers actionable insights at the individual conversion level, enabling advertisers to make well-informed decisions about their ad campaigns. This holistic methodology not only fortifies the integrity of mobile advertising efforts but also empowers marketers to optimize their strategies for better performance and outcomes. Ultimately, Scalarr’s commitment to innovation ensures a safer advertising environment for all stakeholders involved.

Media

Media

Integrations Supported

Integrations Supported

Adjust
AppsFlyer
Branch
Kochava
Singular
Tenjin
mParticle

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Online Training

Company Facts

Organization Name

Tungsten Automation

Date Founded

1985

Company Location

United States

Company Website

www.tungstenautomation.com/products/fraudone

Company Facts

Organization Name

Scalarr

Date Founded

2016

Company Location

United States

Company Website

scalarr.io

Categories and Features

Fraud Detection

Not specified

Categories and Features

Ad Fraud Detection

Not specified

Click Fraud

Not specified

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