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What is SHIELD?

Prioritizing device-based fraud prevention through immediate intelligence and identification is essential. With SHIELD's Device Intelligence, you can recognize which devices, users, and accounts are reliable while identifying those that pose a risk. Ensure that fraudsters cannot deceive you—utilizing the globally recognized SHIELD DeviceID allows for accurate assessments of device reliability. Gain an in-depth understanding of every user with live device signals and an ongoing risk assessment to eliminate blind spots, enhancing user experiences and driving growth. Enjoy immediate insights without the hassle of extra codes, obtaining intelligence while safeguarding personal information. You can also customize risk thresholds independently, as we offer comprehensive data and beyond. Our transparent intelligence equips you with an all-encompassing perspective, helping you stay ahead of evolving fraud tactics. Additionally, we synchronize real-time attack patterns on a global scale to ensure that you are always informed of the latest threats.

What is JuicyScore?

Fintech firms can greatly enhance their operations through sophisticated services designed to combat digital fraud and evaluate risks effectively. By leveraging non-personal data alongside behavioral analysis, we provide thorough evaluations of device risk and protection for online users. Our innovative solutions are crafted not only to prevent fraudulent activities but also to lower overall threat levels, while simultaneously attracting new customers and promoting sustainable growth in portfolios. With JuicyScore, companies can identify various types of fraud, detect suspicious activities, and gain insights into user intentions, allowing for precise segmentation of incoming data based on associated risk levels. This approach significantly improves the quality of information available for decision-making and fortifies the security of clients' personal accounts, which in turn enhances the rate of successful online transactions. JuicyID simplifies the client authentication process, ensuring the protection of sensitive data while minimizing the chances of fraudulent incidents. Additionally, we focus on identifying both technical and social forms of fraud, effectively categorizing risks and delivering a comprehensive data vector that enriches current scoring models, thus improving the accuracy of decision-making frameworks. The seamless integration of these services not only ensures a strong foundation for risk management but also positions fintech companies to thrive in an increasingly competitive landscape. Ultimately, our comprehensive approach lays the groundwork for a more secure and efficient financial ecosystem.

Media

Media

Integrations Supported

Integrations Supported

CREDITONLINE
Moneyman
tabby

API Availability

Has API

API Availability

Has API

Pricing Information

On Demand
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

SHIELD

Date Founded

2008

Company Location

United States

Company Website

shield.com

Company Facts

Organization Name

JuicyScore

Date Founded

2016

Company Location

Singapore

Company Website

juicyscore.ai/

Categories and Features

Advertising

Not specified

AML

Not specified

Click Fraud

Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking

Device Fingerprinting

Not specified

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Pattern Recognition
Transaction Approval

Categories and Features

Fraud Detection

Not specified

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