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Average Ratings 3 Ratings

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ease
features
design
support

Description

FISCAL Technologies employs cutting-edge forensics and machine learning to seamlessly integrate with your ERP system. This solution operates on a continual and preventive basis, streamlining your tasks to enhance efficiency and effectiveness. Over the years, FISCAL Technologies has developed a risk detection methodology that centers on suppliers, allowing for maximum identification of risks as they are introduced into your ERP system. Each supplier and invoice undergoes a thorough forensic examination daily. Furthermore, FISCAL Technologies extends its oversight beyond your P2P data by cross-referencing with external risk registers to uncover additional risks throughout the entire P2P cycle. In today’s environment, where business resilience is crucial, Accounts Payable, Procure-to-Pay, and Shared Service teams face increasing pressure to mitigate risks that could adversely impact the organization. By leveraging these advanced tools, teams can proactively safeguard their operations and maintain organizational integrity.

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.

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

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

FISCAL Technologies

Founded

2002

Country

United States

Website

www.fiscaltec.com

Vendor Details

Company Name

Frogo.ai

Founded

2025

Country

Cyprus

Website

frogo.ai/

Product Features

Accounts Payable

Approval Process Control
Bank Reconciliation
Cash Management
Check Writing
Duplicate Payment Alert
Fraud Detection
General Ledger Entry
Vendor Management

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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