Payments fraud continues to be a top concern for organizations. Fully 92% of finance leaders observed that fraud in 2021 was as bad as, if not worse, than the year before, according to the Association for Financial Professionals (AFP). CFOs and treasurers clearly require a more complete set of payments controls to stop fraud altogether.
Kyriba’s Payments Fraud Detection module extends the effectiveness of standard payments controls to include realtime detection to stop suspicious payments in their tracks. The module, the first of its kind in the industry, includes customized scoring, centralized alerts, complete resolution workflow management, and data visualization through a drilldown KPI dashboard.
Kyriba’s Payments Fraud Detection capabilities allow users to set predefined detection rules to screen for suspicious payments requiring further attention, such as:
During setup, authorized users will determine which detection scenarios should be employed to prevent transmission to the bank until fully resolved.
Real-Time Alerts and Notifications
Kyriba users can customize the Payments Fraud Detection dashboard to display all suspicious payments and prioritize their resolution, based on KPIs such as detection rule, risk exposure, incident counts, and a fraud detection scorecard.
Dashboards feature the ability to drill down so authorized users have complete transparency in all payment screening and can resolve outstanding actions efficiently.
Fraud Prevention Workflow
The module also supports an end-to-end workflow for the resolution of outstanding suspicious payments. In addition to customizing alerts within the KPI dashboard, users can also determine how each detected payment should be managed.
For example, payments to countries within Asia are tracked but not prevented from transmitting to the bank. A payment to North Korea, on the other hand, may be stopped instantly until further investigation.
The Resolution Workflow Features:
• Separation of duties between the payment initiator, the payment approver and the reviewer of a detected payment
• Designation of reviewer(s) by payment rule and specific payment scenario (e.g., payments over $1M are sent to the treasurer for review)
• Ability to assign non-treasury personnel to review certain detected payments
• Option to hide alerts from initiators/approvers of the detected payment
• Scenario-based determination for stopping payments until resolved by designated users
Machine learning algorithms are used within the Fraud Detection module to identify suspicious payments. Based on user tolerances, outgoing payments are compared against historical payment patterns, with suspect payments quarantined for further review.
Bank Account Validation
Kyriba is interfaced with partners that perform onetime and recurring validation of account ownership to confirm recipient bank account information and add an additional layer of fraud detection and payment validation. Checks can be performed within the ERP and for outgoing payments.
Reporting and Audit Trails
Kyriba’s Payment Fraud Detection module offers complete KPI reporting so that detected payments are permanently tracked in the system for daily, monthly, or annual reporting. History is maintained indefinitely and all details of the suspicious transaction—including the audit trail of detected and resolved actions—are retained for internal and external audit reporting.
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