Average Ratings 28 Ratings

Total
ease
features
design
support

Average Ratings 0 Ratings

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ease
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support

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Description

Frogo delivers a comprehensive fraud prevention platform powered by AI, designed to protect organizations across multiple sectors such as iGaming, financial services, payments, e-commerce, and logistics. Its system monitors user behavior and transaction activity in real time to detect suspicious patterns like brute force logins, unauthorized promo code activations, chargebacks, BIN attacks, or affiliate manipulation. With flexible rule-based scoring, businesses can create or adjust fraud detection policies tailored to their unique risk profiles. Frogo’s multi-layered approach combines static and dynamic rules with predictive AI models, ensuring that both known and emerging fraud schemes are intercepted. The platform provides detailed analytics, customizable alerts, blacklists/whitelists, and investigation modules to empower fraud teams with actionable intelligence. It can also be configured for unique fraud cases, enabling industry-specific defenses. Companies benefit from reduced chargebacks, improved customer trust, and optimized revenue streams by stopping fraud before it causes significant damage. Backed by ISO27001 certification, Frogo ensures compliance, data security, and reliability for enterprises handling sensitive financial and personal information.

Description

Verify that users trying to access geo-restricted content are located within permissible areas, and ensure advertisements are directed solely at legitimate users. Eliminate suspicious traffic sources, which may include VPNs, data centers, proxies, and Tor networks. The system offers a regularly updated and dynamic compilation of IP addresses deemed fraudulent. It is capable of identifying sophisticated location spoofing methods, such as using a proxy in combination with a VPN and hijacking residential IP addresses. Additionally, it detects various deceptive techniques that may be employed to obscure the true identity of fraudulent IP addresses. By utilizing the advanced capabilities of GeoGuard’s machine learning alongside human expertise, it anticipates and mitigates potential threats. This customizable and reliable geolocation solution is designed to function seamlessly across a diverse array of devices and user interfaces, and has received endorsement from prominent rights holders in the film, television, and sports industries. With its robust features, the solution not only enhances security but also fosters trust among users and content providers alike.

API Access

Has API

API Access

Has API

Screenshots View All

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Screenshots View All

Integrations

Akamai
Amazon CloudFront

Integrations

Akamai
Amazon CloudFront

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Frogo.ai

Founded

2025

Country

Cyprus

Website

frogo.ai/

Vendor Details

Company Name

GeoComply

Founded

2011

Country

Canada

Website

www.geocomply.com/products/geoguard/

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

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