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What is aiReflex?

Fraud.com's aiReflex offers a comprehensive digital risk and trust solution aimed at enhancing your fraud prevention strategies, thereby ensuring a more secure and equitable experience for your customers. This innovative tool assesses the authenticity of transactions in real-time, employing a robust multi-layer defense system alongside explainable AI to combat fraud and bolster customer confidence. It provides all the essential features to eradicate both transactional and application fraud, such as: - Transactional Orchestration - Adaptive Rule Engine - AI Engine (Supervised and Unsupervised Machine Learning) - Simulation Engine - Dynamic and static lists - Journey-Time Orchestration - OmniChannel Case Management - Centralised Fraud Reporting Reach out to us at fraud.com to discover how we can assist you in fortifying your fraud defenses while simultaneously lowering costs and enhancing overall customer satisfaction. By leveraging our solutions, you can create a safer environment for your operations and improve trust among your clientele.

What is T-NEX Fraud Detection?

T-NEX Fraud Detection is a holistic solution designed for transaction monitoring and case management, specifically crafted for banks, insurance firms, and other regulated industries. It utilizes customizable rules to scrutinize incoming transactions, compiles supporting evidence, and merges related alerts into cohesive customer cases for fraud and anti-money-laundering teams to scrutinize. The platform boasts AI-assisted triage functionality, which generates a risk score, provides rationale, and suggests actions, while meticulously tracking model and prompt versions for future reference. Analysts interact with customer context and evidence, making informed decisions to either assign or escalate cases, document their conclusions, and prepare reports as needed. Furthermore, the system facilitates backtesting of rules against historical transaction data prior to their deployment. A comprehensive audit trail records all actions and their justifications, guaranteeing that human analysts retain the ultimate authority in decision-making, as the system lacks the ability to block payments or cards. This careful incorporation of AI into the review process showcases T-NEX's distinctive HUMAINOLOGY methodology. With a collective experience exceeding two decades in governance, risk, and compliance software, the T-NEX team is highly capable of addressing intricate fraud-related issues. Their unwavering commitment to innovation allows the platform to adapt and respond effectively to the ever-changing regulatory requirements, ensuring ongoing relevance and efficacy. The integration of advanced technology and expert insights sets T-NEX apart as a leader in the field.

Media

Media

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)
Udentify
fcase

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Annual Subscription Fee
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Fraud.com

Date Founded

2022

Company Location

United Kingdom

Company Website

www.fraud.com/products/aireflex

Company Facts

Organization Name

T-NEX

Date Founded

2024

Company Location

Germany

Company Website

t-nex.de/en/institutions/products/fraud-detection/

Categories and Features

AI Tools

Not specified

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
Risk Assessment
Transaction Monitoring
Watch List

Fraud Detection

Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Categories and Features

Fraud Detection

Not specified

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