Fraud Detection (FraudID)



FraudID for JD Edwards EnterpriseOne, proactively detects and alerts for suspicious transaction activity by closely monitoring production data in real-time.

With over $3.7 trillion dollars lost due to fraud annually by businesses around the world, fraud prevention has become essential to running a successful business. Studies have shown that proactive data monitoring and analysis is the most effective fraud prevention solution, and can reduce losses by up to 60%.

FraudID for JD Edwards combines transaction monitoring, data pattern and statistical analysis, and log mining techniques to flag suspicious JD Edwards end-user activity and alert auditors and controllers in real-time.

Case Study

“With FraudID, we were able to detect an internal resource who was able to temporarily add a role to themselves, then remove it. It gave me the visibility to a less-than-ideal business process issue which I wouldn’t have caught without FraudID.”

Heather Schloemann
Sr. Business Systems Analyst


A solution utilizing transaction monitoring and sophisticated pattern analysis techniques along with log mining, to proactively detect, flag and notify auditors and controllers of any suspicious business activity.

Payroll/Human Resources, Accounts Payable and System Administration (CNC) are monitored to effectively detect potential fraud within the JD Edwards EnterpriseOne environment.

Yes, real-time analysis of transactions is performed, securely monitoring and identifying asset misappropriation, which makes up an estimated 85% of corporate fraud activity.

It is available as a standalone solution or in conjunction with Syntax’s proactive CNC monitoring and alerting platform, EnterpriseCare.

All JD Edwards EnterpriseOne releases currently supported by Oracle.

SQL Server, Oracle, and DB2/400.

Most companies can implement in less than 8 hours.

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