When Fraud Crosses Channels, Banks Need a More Connected View

Fraud does not always follow a predictable path. Suspicious activity may begin with a deposit, continue through an electronic payment and surface somewhere else in the account. When financial institutions evaluate each transaction or payment channel independently, it can be difficult to recognize how seemingly unrelated activity may be connected.

Effective bank fraud detection requires a broader view of customer and account activity. By analyzing transactions across channels and evaluating behavior at both the account and entity levels, banks can identify patterns that may not be apparent when individual transactions are reviewed in isolation.

Fraud Risk Doesn't Stop at One Payment Channel

Financial institutions manage a range of transaction types, each with its own risks and potential indicators of fraud. These include ACH payments, ATM activity, cash transactions, checks, debit card purchases, deposits and wire transfers.

A monitoring process focused on only one payment type can leave important activity outside its view. For example, an unusual deposit may warrant a closer look when considered alongside other recent account activity. Similarly, transaction amounts, frequency and account velocity can provide additional context when assessing whether activity is consistent with established patterns.

This is why cross-channel analysis is an important part of a comprehensive fraud detection strategy. It allows financial institutions to evaluate activity in context rather than relying on isolated rules or individual transaction reviews.

Look Beyond the Individual Account

Account-level monitoring is essential, but it does not always provide the full picture. Financial institutions can also benefit from evaluating activity at the entity level to identify relationships and patterns that may span multiple accounts.

This broader analysis can help surface activity such as:

• Transaction volumes or frequency that fall outside expected ranges.
• Unusual deposit and withdrawal amounts.
• Duplicate check numbers or transactions.
• Account activity that differs from established behavioral patterns.

By combining these indicators, banks can develop a more informed assessment of suspicious activity and prioritize transactions that warrant further investigation.

Turn Fraud Alerts Into Actionable Decisions

Identifying unusual activity is only useful if employees can act on the information. A high volume of alerts that require manual investigation can place additional demands on fraud and operations teams, particularly when alerts lack sufficient context to support a decision.

A centralized review process helps bring suspicious transactions and related information together for further investigation. Rather than requiring employees to navigate separate systems or piece together activity manually, an integrated workflow can support more consistent case management and adjudication.

Automation can also help distinguish activity that requires further review from transactions that can proceed, allowing employees to focus their attention where it is needed most.

Build a More Complete Bank Fraud Detection Strategy

Fraud prevention is an ongoing process that requires financial institutions to evaluate risk across payment channels, customer relationships and account activity. As transaction activity becomes more complex, relying on individual alerts or disconnected monitoring processes can make it harder to identify patterns and respond effectively.

A connected approach to bank fraud detection gives institutions greater visibility into suspicious activity and the information needed to make informed decisions. It also helps establish a more consistent process for identifying, reviewing and addressing potential fraud.

For banks looking to strengthen their fraud management strategy, the focus should be on bringing transaction analysis, account-level insights and adjudication workflows together to support a more comprehensive view of risk.

Learn more: Download ARGO’s Reducing Risk in the Omnichannel Delivery Environment to explore how financial institutions can manage risk across channels and customer touchpoints.