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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 ShieldLabs?

ShieldLabs excels in identifying and preventing fraudulent activities while simultaneously assessing traffic quality through advanced scoring techniques. The company effectively addresses challenges like multi-accounting, account sharing, account takeovers, fake registrations, and advertising fraud. Utilizing a single JavaScript snippet, ShieldLabs captures over 100 unique signals from devices and networks with every visit, enabling thorough cross-verification that uncovers complex masking strategies and achieves an impressive detection accuracy of up to 99%. It can effortlessly recognize returning users, even when they have cleared their cookies, used incognito modes, or connected via different IP addresses, while also tracking linked users across various accounts and devices. Instead of merely applying a binary flag, the system categorizes a range of elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents as distinct signals. Each visitor, user, device, and IP is assigned a unique risk score, with established patterns addressing prevalent fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, and traffic quality is assessed based on its origin, channel, and campaign. Setting up this solution is a quick process, taking only five minutes and including client and server SDKs, public APIs, and signed webhooks, which makes it an appealing choice for businesses eager to bolster their security quickly. Consequently, organizations can effectively establish strong defenses against fraud while ensuring a smooth and uninterrupted user experience for their customers. Additionally, this comprehensive approach allows businesses to adapt and respond to emerging threats in real time, further enhancing their protective measures.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$79/month
Free Version

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

Documentation Hub

Company Facts

Organization Name

Tungsten Automation

Date Founded

1985

Company Location

United States

Company Website

www.tungstenautomation.com/products/fraudone

Company Facts

Organization Name

ShieldLabs Inc

Date Founded

2025

Company Location

United States

Company Website

shieldlabs.ai/

Categories and Features

Fraud Detection

Not specified

Categories and Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Crypto
For eCommerce
Pattern Recognition

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