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Description
In the modern era, enterprises that leverage digital transformation primarily conduct their operations online and in real-time, minimizing the need for human involvement. While this strategy significantly lowers expenses and enhances customer satisfaction, it simultaneously opens the door to substantial risks of fraud perpetrated by savvy individuals who exploit the online environment's inherent anonymity and ease of access. For instance, in the realm of e-commerce, fraudulent transactions can arise from hacked accounts and pilfered payment information. Additionally, various forms of deception may include account takeovers, misuse of complimentary trials, fake reviews for products, warranty abuses, refund scams, reseller fraud, and exploitation of discount programs. These fraudulent actions can severely impact both the bottom line and the brand reputation of the business. Unlike in the early days of the internet, today's fraudulent schemes are often executed by organized, well-funded groups of professionals who are adept at navigating online systems. The evolving landscape of cyber threats necessitates a proactive approach to safeguard against these sophisticated fraud tactics.
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
No images available
Integrations
Microsoft Dynamics 365
My DSO Manager
Rayven
Pricing Details
No price information available.
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
Microsoft
Founded
1985
Country
United States
Website
learn.microsoft.com/en-us/dynamics365/fraud-protection/
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
Alternatives
No Alternatives