Fraud Key Risk Indicators Examples

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Written By Chris Ekai

Fraud is a major concern for businesses and financial institutions. The financial impact of fraud can be huge.

However, it can also damage a company’s reputation and credibility. To protect against fraud, it’s important to have a strong understanding of fraud’s key risk indicators.

Key risk indicators are the warning signs that something may not be right, and they can alert you to potential risks before they become an issue.

Fraud is a pervasive issue in the business world, and it’s important for companies to be aware of key risk indicators (KRI) to help identify when fraud is occurring. The fraud prevention strategy of the organizations was followed for measuring fraud.

KRIs are elements within a company that signal the potential for fraud or other detrimental organisational activities.

In this blog post, we’ll look at some of the most common KRI examples to help you protect your company against fraud.

Fraud key risk indicators, also known as KRIs, are important tools for identifying organisational fraud.

As financial professionals increasingly rely on digital data for business decisions, being able to analyze and detect potential fraudulent activity becomes even more vital.

But what exactly does this process involve? Knowing the different types of fraud key risk indicators is essential to understanding where risks might lurk within your financial data.

In this blog post, we’ll explore some examples of fraud key risk indicators and how they can help you protect your business from fraudulent activity.

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Advantages of Key Risk Indicators

Examples of Fraud Key Risk Indicators

1. Large Transactions

Large unexpected transactions in a customer’s account should raise red flags for any business. This could signal money laundering or other illegal activities.

Make sure to look out for any large transactions and how many transactions are out of character for the customer and investigate immediately if anything looks suspicious.

2. Unusual Requests

Any unusual requests from customers should be carefully monitored. This could include requests for new accounts or changes in existing accounts that don’t make sense given the customer’s normal behaviour or the typical use of their account.

Be sure to double-check any such requests with additional scrutiny before approving them.

3. Unanswered Questions

If customers are unable or unwilling to answer questions about their account or activity, this could indicate something fishy.

Businesses should always ask questions when something looks off and investigate further if customers provide vague answers or refuse to answer.

4. Unexpected Change in Address

If a customer suddenly changes their address without informing you first, this could signal fraudulent activity within their account—especially if they’re located in another country than usual without explanation.

Ask questions if you notice any unexpected change in the address associated with an account so you can take action if necessary.

5. Suspicious Documents

Documents presented by customers should always be checked for authenticity before being accepted as valid identification or proof of address .

Suspicious documents should be flagged immediately as they could indicate someone is trying to use false information to commit fraud against your business or gain access to an account illegally. This can be an internal fraud.

6.Fraud rate calculation

Fraud rates are calculated from all known fraud cases. Only authorized transactions deemed fraudulent will be counted.

Although declined transactions can be described as fraudulent, they don’t impact the calculated fraud rates.

7.Final Approval Rate

The final approval rate is determined by the status of transactions, regardless of which fraud-preventing strategy was selected.

All purchases submitted for approval will be reflected in your final approval rate. Fraudulent transactions declined will be targeted as accurately scoring transactional risk.

This fraud KPI measures a very simple process for measuring it. Although it provides an accurate macro indicator of how fraud protection solutions work, only a few decision-making options are available without these other metrics.

What Are Key Risk Indicators?

Key risk indicators (KRIs) are measurable metrics businesses use to monitor and assess areas of concern that could lead to fraud or other criminal activities.

Generally speaking, KRIs measure the likelihood of fraudulent activity or negative outcomes related to certain activities.

KRIs can be used by businesses to identify potential risks before they become an issue and take preventive steps accordingly.

Fraud prevention solutions will determine the mitigation for the fraud risk management practice of the organization.

How to Identify Fraud with Key Risk Indicators

Fraud is an ever-present risk for businesses and organizations. However, the good news is that fraud can be identified through key risk indicators (KRI).

KRIs are metrics used to identify potential fraudulent activities or transactions and allow organizations to prevent losses from fraud proactively.

Data Analysis and Reporting

Data analysis and reporting is one of the most important aspects of identifying fraud. Management should review data reports regularly for irregular patterns or suspicious activity.

In addition, data should be cross-checked against external sources such as customer databases and credit bureaus to ensure accuracy and completeness.

This step helps identify irregularities or discrepancies in a timely manner, allowing for proactive action before any significant loss occurs.

Background Checks

Conducting background checks on new employees is also a key risk indicator for identifying fraudulent activities.

Background checks help ensure that employees have the qualifications they claim to possess and can provide insight into any prior criminal history or financial issues associated with a particular employee.

These background checks can also uncover potential risks associated with a particular individual, allowing organizations to decide whether to employ them.

Role-Based Access Controls

Role-based access controls (RBAC) are another key risk indicator organizations can use to protect their data and systems from unauthorized access or manipulation by malicious actors.

RBAC allows organizations to restrict certain users from accessing sensitive information or performing certain operations within the system based on their role.

This helps minimize potential risks of granting too much access to certain individuals who may not need it to perform their duties effectively.

As financial advisory firms increasingly face more fraudulent activities, it is essential to understand the incoming fraud pressure and recall and precision metrics.

Incoming fraud pressure is the percentage of attempted transactions that become fraudulent.

This key performance indicator (KPI) is closely connected to the Fraud Rate, which measures how many fraudulent transactions are accepted by an organization compared to all transactions.

Recall and precision metrics are also important for measuring the effectiveness of fraud prevention systems.

According to Aite Group, false positives could lead to e-commerce losses of $443 billion by 2022 if not addressed properly.

Machine learning algorithms can detect financial fraud in companies and organizations.

Evaluating new fraud models requires checking the precision of a score above some threshold and measuring the amount of false positives generated.


Key Performance Indicators are powerful metrics that can easily be understood and used. Can risk assessment software be used to measure the effectiveness of a risk group? It would be logical to use them both in this situation.

However due to the lack of clear definition between the two types and the usage of metrics, we wanted to break down these into more detail.

Key Risk Indicators (KRI) show how damaging activities could be.

A good fraud prevention solution is essential to the success of any business, as it allows only approved transactions to be processed while preventing potential fraudulent activity.

Fraud prevention tools include identity and transaction verification systems, automated screening systems, and machine learning algorithms.

They can be used to detect suspicious activity in real-time and protect businesses from risks associated with fraud.

By utilizing these fraud prevention tools, businesses can ensure that only legitimate transactions are processed while minimizing their risk of fraudulent activity.

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Asset Management Key Risk Indicators


Fraud detection indicator activities present significant risks for businesses and organizations alike.

Still, these risks can be minimized through effective identification techniques such as data analysis and reporting, background checks, and role-based access controls (RBAC) to ensure fraud prevention success.

Through implementing these key risk indicators, businesses can ensure that they are proactively monitoring for fraud so that losses can be prevented before they occur.

Keeping up with these KRI is essential for all companies looking to protect themselves against the costly effects of fraudulent activities.

Downloadable resources

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