What a Human-Centered Fraud Prevention Strategy Looks Like:
A sample fraud prevention strategy
Fraud prevention is often discussed in terms of technology, controls, authentication, and transaction monitoring. Those protections are essential, but many fraud attempts ultimately depend on something else: convincing a person to make the wrong decision at the right moment.
A fraudster may impersonate someone the victim trusts, create a false sense of urgency, use fear or authority to pressure a decision, or persuade someone to bypass a normal security process.
That is why I created this sample Fraud Prevention Strategy Program. It demonstrates how I would approach fraud prevention from a human-centered perspective—strengthening the ability of customers and employees to recognize suspicious situations, make safer decisions, report concerns quickly, and respond effectively.
The challenge: fraud targets human decision-making
The program begins with the types of fraud in which human behavior can play a significant role, including impersonation scams, business email compromise, account takeover, payment and wire fraud, and social engineering.
While these fraud types are different, many of them rely on similar manipulation techniques. The attacker wants someone to trust the wrong person, act too quickly, skip a verification step, or delay reporting what happened.
The goal, therefore, isn't simply to tell people that fraud exists. It is to prepare them to respond when they encounter it.
The objective: turn awareness into action
At the center of the program is a simple behavioral model:
Recognize → Question → Verify → Report → Respond
The idea is to give people a repeatable process they can use when something does not feel right.
Recognize means noticing something unusual. Question means resisting the urge to automatically trust the request. Verify means confirming the request independently through a trusted source or process. Report means quickly alerting the appropriate person or team. Respond means taking action to protect the customer and the institution once a concern has been identified.
This is important because awareness alone does not necessarily change behavior. Someone may know that impersonation scams exist and still be unsure what to do when a convincing scammer calls them.
Five strategic workstreams support that behavior
The five workstreams in the graphic represent the capabilities an organization would build around the decision framework.
Fraud Risk & Behavior Assessment identifies where the greatest human-related fraud risks exist and how criminals are influencing decisions.
Customer Fraud Education translates those risks into practical guidance customers can use during real situations—not simply general warnings about scams.
Employee Fraud Recognition & Intervention prepares employees to recognize warning signs, ask appropriate questions, and intervene when a customer may be experiencing fraud.
Verification, Reporting & Response makes it easier for customers and employees to verify questionable requests, escalate concerns, report incidents, and get help quickly.
Finally, Measurement & Continuous Improvement determines whether those efforts are actually changing behavior and reducing risk.
Put another way, the five workstreams describe what the organization needs to build, while Recognize → Question → Verify → Report → Respond describes the behavior the program is trying to create.
Moving from strategy to implementation
A fraud strategy only becomes useful when it can be put into practice. The sample 90-day roadmap shows one way an organization could begin.
During the first 30 days, the focus is on understanding the environment: reviewing fraud cases, interviewing employees, identifying manipulation techniques, mapping customer decision points, and establishing baseline measures.
Days 31–60 move into design. This is where the organization begins developing targeted customer communications, employee intervention guidance, verification and reporting processes, training scenarios, and the measurement framework.
Days 61–90 focus on piloting those interventions in selected channels or locations, measuring the results, gathering feedback, refining the approach, and determining what should be scaled across the organization.
The purpose of the 90 days would not be to "solve fraud." It would be to create an evidence-based foundation for a larger, sustainable fraud-resilience program.
Measuring more than training completion
One of the most important elements of this model is measurement.
Traditional awareness programs often focus heavily on activity metrics: how many people completed training, how many messages were sent, or how many employees attended a session.
Those numbers are useful, but they don't necessarily tell us whether people are making safer decisions.
A human-centered fraud program should also examine behavioral and business outcomes:
Are suspicious interactions being reported earlier?
Are customers verifying questionable requests before sending money?
Are employees recognizing potential fraud and intervening successfully?
Are reporting times decreasing?
Are fraud losses declining?
The KPI dashboard in this graphic illustrates the kinds of measures I would want to monitor. The percentages shown are hypothetical examples for this sample program, not actual organizational results. They demonstrate how progress could be compared with an established baseline.
The bigger idea
The central idea behind this strategy is simple:
Effective fraud prevention should not depend on people remembering every scam they have ever been warned about.
Scams will continue to change.
Instead, financial institutions can help customers and employees develop safer decision-making habits that remain useful even when the specific scam changes.
If we can help someone recognize that something feels wrong, question the request, independently verify it, report it quickly, and trigger an effective response, we create another layer of protection around the technical controls already in place.
That is what I mean by human-centered fraud resilience.
And ultimately, that is the outcome this sample strategy is designed to support:
Earlier recognition.
Faster reporting.
Stronger intervention.
Reduced losses.
Increased trust.
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