Fraud.netFraud.net, Inc.
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InActAsseco Group
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About
Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks.
Our unified solutions: comprehensive screening for smoother onboarding & improved compliance, continuous monitoring to proactively identify new threats, & precision fraud detection across channels and payment types. With dozens of data integrations and advanced analytics, you'll dramatically reduce false positives while gaining unmatched visibility. And, with no-code/low-code integration, our solution scales effortlessly as you grow.
The results speak volumes: Leading payments companies, financial institutions, innovative fintechs, and commerce brands trust us worldwide—and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives.
Request your demo today and discover Fraudnet.
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About
Fraud detection and prevention has become more important in recent years as the result of rising digitalization trends around the world effecting finances the most. As new technologies and standards are introduced, it becomes more challenging for companies to protect their customers against fraud attacks and maintain good business reputation. Therefore, fraud issues have become more sensitive and need more sophisticated approach. With more than 20 years of experience in payments and anti-fraud business, we offer banks, financial institutions, factoring companies, insurers, telecom operators, FMCG companies, and retail end- to-end anti-fraud solutions. InACT® is a modular application that monitors and prevents transactional fraud and internal misuse, operational faults and transactions that are contrary to the legislation. InACT® protects your institution and your customers against malicious transactions.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Fraudnet is built for fraud, risk, and compliance teams at payments companies, banks, fintechs, and digital commerce enterprises.
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Audience
Companies searching for a fraud monitoring and prevention solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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PricingGet started for free.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Pros from Real UsersPros
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationFraud.net, Inc.
Founded: 2016
United States
www.fraud.net
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Company InformationAsseco Group
Founded: 1989
Poland
asseco.com
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Categories |
Categories |
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Fraud Detection Features
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For eCommerce
For Insurance Industry
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Click Fraud Features
Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking
Machine Learning Features
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics Features
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
eCommerce Features
Catalog Management
Channel Management
CRM
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates
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Integrations
Ekata
Emailage
Signifyd
TeleSign
TypingDNA
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