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ease
features
design
support

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Description

Moonsense empowers users to identify advanced fraud tactics by offering instant access to actionable insights and detailed source data, thereby improving fraud detection while minimizing inconvenience for users. By leveraging user behavior and network intelligence, it is possible to uncover a user’s distinctive digital fingerprint, akin to an individual's actual fingerprint. In an era marked by frequent data breaches, this unique digital signature proves to be effective in identifying complex fraud patterns without burdening the user experience. Among various types of fraud, identity theft remains prevalent. During the process of account creation, there exists a typical behavioral pattern that can be analyzed. By scrutinizing the user's digital signals, accounts that deviate from established norms can be flagged for further investigation. Moonsense is committed to equalizing the odds in the battle against online fraud, ensuring that organizations can protect their users effectively. A single integration opens the door to comprehensive insights into both user behavior and network dynamics. Ultimately, this innovative approach not only enhances security but also fosters trust between users and service providers.

Description

ShieldLabs specializes in detecting and preventing fraud while also evaluating traffic quality through sophisticated scoring methods. It effectively combats issues such as multi-accounting, account sharing, account takeovers, fake signups, and ad fraud. By employing a single JavaScript snippet, it gathers over 100 distinct device and network signals during every visit, allowing for comprehensive cross-verification that reveals sophisticated masking techniques and achieves an impressive detection accuracy of up to 99%. Returning users are identified seamlessly, even when using cleared cookies, incognito browsing, or different IP addresses, while linked users can be tracked across multiple accounts and devices. Various elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents are all categorized as specific signals instead of being reduced to a simple binary flag. Each visitor, user, device, and IP is assigned a unique risk score, and predefined patterns address common fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, with traffic quality evaluated based on its source, channel, and campaign. Integrating the solution takes just five minutes and includes client and server SDKs, a public API, and signed webhooks, making it accessible for businesses looking to enhance their security measures rapidly. As a result, organizations can swiftly implement robust defenses against fraud while maintaining a seamless user experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$79/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Moonsense

Country

United States

Website

www.moonsense.io

Vendor Details

Company Name

ShieldLabs Inc

Founded

2025

Country

United States

Website

shieldlabs.ai/

Product Features

Fraud Detection

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

Product Features

Fraud Detection

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

Alternatives

No Alternatives