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Proactively identify fraud in real-time using powerful AI, Automatically approve, review, or reject events to protect customers.
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Know the potential risk for all your customers based on their profile and transactions behavior.
Focal's friendly risk assessment rule builder allows you to customize your onboarding risk scoring methodology based on your own risk appetite and requirements.
Dynamically monitor risk score changes for each customer based on profile changes and transactions behavior.
Filter and view all your customers based on risk level.
Use your existing data to plug in your own fields, so you can integrate with Focal quickly.
Apply the proper monitoring procedures based on the risk type of the customer.
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Know the potential risk for all your customers based on their profile and transactions behavior.
Focal's friendly rules builder allows you to configure your own rules engine that fit your risk appetite and requirements.
Automate filing Suspicious Activity Reporting with Focal's built-in report generator.
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Audit trail and logging of all transactions to provide a comprehensive view of the customer behavior.
Screen sender and recipient information against global watchlists in real-time to intercept the possibility of transferring money to sanctioned entities or high risk countries.
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Focal screens against more than 1000+ real-time global sanctions and PEP lists.
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Name matching algorithms specifically designed for Arabic and Latin that recognize many variations, human-errors, and edge cases.
Constantly screen your customers against the latest updated sanctions and PEP lists.
Focal Utilizes robust APIs that can be effortlessly integrated within your workflow
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Identify suspicious devices used in fraudulent activities, enhancing fraud detection and protecting customers from device-based attacks.
Block known fraud connections by leveraging global fraud databases, ensuring proactive defense against established fraud patterns.
Uncover and halt fraud rings targeting vulnerable customers using AI based graph networks by identifying patterns in fraudulent network activity.
Pinpoint locations with high concentrations of fraudsters, enabling organizations to focus on specific areas for enhanced fraud prevention efforts.
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