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Ratings and Reviews 0 Ratings
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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.
What is Marble?
Marble is an advanced, open-source engine designed to monitor transactions, events, and user activities to identify potential money laundering, fraud, or misuse of services.
Our platform features a user-friendly rule builder compatible with various data types, alongside an engine capable of performing checks both in real-time and in batches, complemented by a case management system that enhances operational efficiency.
Ideal for payment service providers, banking-as-a-service companies, neobanks, and marketplaces, Marble also caters effectively to telecommunications organizations.
The engine empowers these entities to swiftly create and modify detection scenarios, enabling decision-making within minutes.
Such decisions can initiate events within existing systems, introduce friction, or impose restrictions on real-time operations.
Additionally, users can conduct investigations through Marble's case manager or leverage the Marble API for deeper insights into their systems.
Mindfully developed with compliance at its core, Marble guarantees that all processes are versioned, auditable, and devoid of time restrictions, ensuring a robust security and compliance framework.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
€2500 per month for SaaS
Free Version
Free Trial Offered?
Supported Platforms
Not specified
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Not specified
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
On-Site Training
Company Facts
Organization Name
T-NEX
Date Founded
2024
Company Location
Germany
Company Website
t-nex.de/en/institutions/products/fraud-detection/
Company Facts
Organization Name
Marble
Date Founded
2022
Company Location
France
Company Website
www.checkmarble.com
Categories and Features
Fraud Detection
Not specified
Categories and Features
AML
Case Management
Compliance Reporting
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Fraud Detection
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval