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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 RiskCogs?

RiskCogs functions as a specialized module for assessing payment fraud risks, designed specifically for online businesses. It evaluates an array of signals, such as payment data, device information, identity verification, IP addresses, and user activity, to produce clear risk scores and contextual insights related to associated accounts during transaction assessments. Fraud detection and operations teams have the capability to scrutinize signals and linked accounts in a review queue, establish customizable thresholds and rules, and test rule adjustments in a shadow mode before full deployment. Developers can leverage a browser SDK and server API to relay transaction information and receive evaluations, while webhooks enable the communication of assessment events, and a feedback API supports the reporting of subsequent results like chargebacks. RiskCogs is designed to seamlessly integrate risk-related information with current payment processing systems, allowing merchants to determine their own decision-making thresholds and responses. The applications of this module range from payment fraud detection to card testing, account takeovers, multi-accounting issues, and subscription fraud. Furthermore, the features provided to users and the level of access granted are determined by the specific configuration of the account. Consequently, businesses that adopt RiskCogs can significantly bolster their strategies for preventing fraud while fostering a more secure online transaction environment. By doing so, they can better protect their assets and enhance customer trust.

Media

Media

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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

€0/month
Shadow: €0/month, capped at 500 risk decisions and 200 monthly active users; never billed. Starter: €49/month, including 5,000 decisions and 1,000 users; overages are €0.02 per decision and €29.95 per extra 1,000 users. Growth: €299/month, including 50,000 decisions and 10,000 users; overages are €0.005 per decision and €19.95 per extra 1,000 users. Enterprise pricing is custom. Prices are in EUR, billed monthly, excluding VAT. Availability, scope, and support commitments depend on account setup.
Free Version

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

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

Orsun Tech OÜ

Date Founded

2026

Company Location

Estonia

Company Website

riskcogs.com

Categories and Features

Fraud Detection

Not specified

Categories and Features

Fraud Detection

Not specified

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