Fraud.net for Web

Product snapshot

Fraud.net delivers an AI-driven platform for detecting and preventing fraud across industries. By combining deep learning, neural networks, and proprietary data science techniques, the solution generates actionable intelligence to reduce risk at both the application and transaction stages. It’s designed to integrate with bank and payment ecosystems, providing identity verification and ongoing monitoring capabilities.

Key technical capabilities

• Dark web monitoring and intelligence gathering
• Continuous risk scoring and real-time surveillance
• Social media analysis for behavioral signals
• Multi-factor authentication support and access controls
• Identity verification and account monitoring services
• Transaction-focused AI for payment-level anomalies
• Application-focused AI to screen onboarding and form submissions

Types of fraud addressed

• Synthetic identity schemes and fabricated identities
• Payment-related scams and transactional manipulation
• Compliance-related risks tied to KYC/AML requirements
• Insider misuse and employee-related threats
• Coordinated collusion and organized abuse patterns
• Business email compromise and social-engineering attacks
• Fraudulent applications and false onboarding attempts
• Account takeover and unauthorized access incidents

Additional resources and learning

The platform includes a library of supporting materials to help teams stay informed and improve workflows:

• Customer case studies and industry research reports
• Live and recorded webinars for practitioner training
• A searchable glossary and reference guide to fraud terminology

Suggested alternative

If you’re exploring other options, SEMrush (free tier available) is listed as a recommended alternative.