Outseer Fraud Manager

Comprehensive Fraud Protection

Protects digital payments and banking sessions from login to transaction completion.

Policy Management

Allows organizations to set and adjust rules based on risk tolerance and specific business goals. The policy engine uses Outseer’s machine learning risk scores, first- and third-party data, and calculated facts (e.g., transaction amounts) to create precise fraud detection strategies tailored to different scenarios.

Case Management

Tracks and manages suspicious transactions or activities that trigger policy rules. Confirmed fraud cases provide immediate feedback to the Outseer Risk Engine and Global Data Network, continuously improving risk assessment accuracy. Additionally, an API enables the integration of enriched data from internal and external sources.

Set-up Authetication

For high-risk transactions or policy violations, Outseer can trigger additional authentication steps to validate user identities. The platform offers built-in step-up options and integrates with the organization’s own authentication methods, adding an extra layer of security when necessary.

Flexible Deployment Options

Outseer Fraud Manager supports both cloud and on-premises deployment, allowing organizations to choose a setup that best meets their operational and security needs.

Outseer Platform

A transactional risk management system that supports the entire digital journey, from login to payment completion, safeguarding transactions while delivering a seamless customer experience.

Outseer Risk Engine

An advanced machine learning engine that assesses risk by analyzing data from a vast network of digital interactions. This feature enhances risk scoring by integrating both historical data and real-time inputs to deliver accurate and timely fraud decisions

Outseer Global Data Network

Enriches fraud detection with global transaction data from various institutions, helping organizations to detect fraud trends and emerging threats across the financial ecosystem. This consortium data provides unique insights into fraud patterns that strengthen the overall risk assessment process.