Detecting Fraud with ACL 3 :: ACL Services Ltd.

Seven Steps to Jump Start Your Anti-Fraud Program
Knowing what to look for is critical in building a fraud detection program. Excerpted from Fraud Detection: Using Data Analysis Techniques to Detect Fraud, read examples of the various types of fraud and the tests used.
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ACFE Webinar-on-Demand: Follow the Money. Data Analytics to Prevent Fraud
Finding fraud within your organization is crucial - but the real value is uncovering and preventing fraud before the loss occurs. Learn how to begin building data analytics into your detection process and how to create an early warning system to identify fraud.
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Learn Three Fraud Tests in Under 10 Minutes
In this short webinar, learn from one of ACL's Senior Technical Specialists how to run three fraud tests: find suspicious numbers, suspicious vendors and suspicious bids.
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White Paper: Leveraging Data Analytics in the Fight Against Fraud
When continuous fraud detection is combined with continuous monitoring, it is possible to achieve an unprecedented level of fraud detection and prevention. The Audit Analytic Capability Model provides a roadmap for building an analytic-enabled fraud detection strategy for your organization.
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Discussion Papers
Discussion papers on how ACL technology supports improved fraud detection and prevention
Banking Discussion Paper
Government Discussion Paper
Healthcare Discussion Paper
Insurance Discussion Paper

Feature Article: Proactive Fraud Detection:
The Truth Is in the Transactions
It is generally believed that fraudsters commit their acts because they do not think that they will be caught, but there is invariably a record of their actions or an indicator of deceit. Data analysis is a powerful detective and preventative measure that can seek out signs of fraud in an organization's transactional data.
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Fraud Detection in the Automated World
Two IIA Technology Committee members present a review of The IIA fraud standards and discuss the internal auditor's role in IT fraud risk assessments.
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