Outseer Fraud Manager

Outseer Fraud Manager is a transactional risk management platform designed to assess and mitigate risk throughout the digital journey. This solution is suitable for small, medium, and large enterprises across various industries, including financial institutions, e-commerce and retail, payment service providers, online marketplaces, and digital banking.

Key Features

Policy Management: According to the vendor, users can translate risk intelligence into action by setting granular rules for different scenarios based on risk score thresholds and additional factors. They can leverage the risk score calculated by the Outseer machine learning risk engine, first-party and third-party facts, and non-calculated facts.

Case Management: Users can track transactions and activities that trigger policy and confirm if they are fraudulent. The vendor claims that they can instantly provide feedback to enhance the accuracy of risk decisions when cases are confirmed as fraudulent. Additionally, users can enrich data with first-party and third-party data using the available API.

Flexible Deployment Options: Users have the option to choose between cloud and on-prem deployment based on their organization's preference. According to the vendor, this allows them to benefit from a single technology platform regardless of the deployment choice.

Step-Up Authentication: The vendor states that users can trigger step-up authentication for high-risk transactions or violations of policies. They claim that out-of-the-box step-up authentication options are available, and there is a flexible interface to integrate with the organization's own authentication methods.

Outseer Platform: According to the vendor, this transactional risk management platform safeguards digital transactions from login to payment completion. They claim that it streamlines fraud operations and reduces fraud losses while delivering an exceptional consumer experience.

Outseer Risk Engine: Powered by the Outseer Risk Engine™, this feature utilizes effective models and data to detect and prevent fraudulent activity. According to the vendor, real-time predictive algorithms analyze transaction data, consortium data signals, and first-party and third-party signals.

Outseer Global Data Network: The vendor claims that this feature gathers daily signals from millions of transactions marked as fraudulent across the largest financial institutions worldwide. They state that it drives decisions that protect customers while enabling seamless interactions and transactions.