Security.com

fraud detection

By Alexander S. Gillis

What is fraud detection?

Fraud detection is a set of activities undertaken to prevent money or property from being obtained through false pretenses.

Fraud detection is applied to many industries, such as banking and insurance. In banking, fraud includes forging checks or using stolen credit cards. Other forms of fraud involve exaggerating losses or causing an accident with the sole intent of getting the payout.

With an unlimited and rising number of ways someone can commit fraud, detection can be difficult. Activities such as reorganization, downsizing, moving to new information systems or encountering a cybersecurity breach could weaken an organization's ability to detect fraud. Techniques such as real-time monitoring for fraud are recommended. Organizations should look for fraud in financial transactions, locations, devices used, initiated sessions and authentication systems.

Fraud detection techniques

Fraud typically involves multiple repeated methods, making searching for patterns a general focus for fraud detection. For example, data analysts can prevent insurance fraud by creating algorithms to detect patterns and anomalies.

Fraud detection can be separated by the use of statistical data analysis techniques or artificial intelligence (AI).

Statistical data analysis techniques include the following:

• Calculating statistical parameters.
• Regression analysis.
• Probability distributions and models.
• Data matching.

AI techniques used to detect fraud include the following:

• Data mining classifies, groups and segments data to search through millions of transactions to find patterns and detect fraud.
• Neural networks learn suspicious-looking patterns and use those patterns to detect them further.
• Machine learning automatically identifies characteristics found in fraud.
• Pattern recognition detects classes, clusters and patterns of suspicious behavior.

Types of fraud

Fraud can be committed in different ways and different settings, including banking, insurance, government and healthcare sectors.

A common type of banking fraud is customer account takeover, where someone gains unauthorized access to a victim's bank account using bots. Other examples of fraud in banking include the use of malicious applications, the use of false identities, money laundering, credit card fraud and mobile fraud.

Insurance fraud includes premium diversion fraud, which is the embezzlement of insurance premiums, or free churning, which is excessive trading by a stockbroker to maximize commissions. Other forms of insurance fraud include asset diversion, workers' compensation fraud, car accident fraud, stolen or damaged car fraud, and house fire fraud. The motive behind insurance fraud is financial profits.

Government fraud is committing fraud against federal agencies, such as the U.S. Department of Health and Human Services, Department of Transportation, Department of Education and Department of Energy. Types of government fraud include billing for unnecessary procedures, overcharging for items, providing old equipment while billing for new equipment and reporting hours worked for a worker who does not exist.

Healthcare fraud includes drug fraud and medical fraud, as well as insurance fraud. Healthcare fraud is committed when someone defrauds an insurer or government healthcare program.