There is a human element to fraud prevention that can’t (yet) be replaced with even the most sophisticated AI. These qualities are critical but need to be applied the right way, with humans doing the jobs that humans do best, while AI-refined rules allow this intuition and experience to scale. Certified fraud examiners (CFEs), working with AI, can protect your organization in this ever-changing threat landscape we’re facing.
Overview: Certified Fraud Examiners
AI is really good at detecting fraud types that your business may have already encountered. Certified fraud examiners (CFEs) offer intuition, and a deep understanding of the business, helping them predict where fraudsters will strike next. This gives CFEs the ability to detect new fraud that might not be flagged by AI, making them a critical partner to AI-directed and rules-based fraud prevention systems.
There are three main skills that a certified fraud examiner brings to the table which enable quick and successful fraud detection.
1. Investigative skills
Fraud investigation has far more elements than just the data that triggers an alert. So, CFEs must perform in-depth research and analysis across multiple systems. They must also have interactions with individuals both inside and outside the organization.
Also, the CFE is likely responsible for the data going into the AI systems as well as evaluating the outputs for accuracy and effectiveness. CFEs suggest any necessary tuning to the system too.
2. Thinking outside the box
AI can identify patterns across large datasets. However, it suffers from the same weaknesses that all computer systems do—it only knows what you tell it, despite its advanced algorithms. AI only does what it’s specifically told to do.
Further, AI doesn’t have the intuition or ability to think outside the box. It is the box.
For instance, a CFE may read industry news and learn of a new method of fraud. They could then search different systems for this behavior more quickly than AI algorithms could be updated.
CFEs can also apply their knowledge of the industry and their company. They can put themselves in the shoes of a fraudster when considering their organization’s defense systems and offer innovative solutions.
3. The human touch
No matter how useful technology is, without someone showing its importance to the leadership team, it could be eliminated in budget cuts.
Your anti-fraud team is the voice of the technology—by highlighting your AI systems, your CFE team can keep the funding to protect the organization.
CFEs are not only the front line of defense for the organization, they also know your business intimately. By harnessing their intuition along with the power of anti-fraud AI tools, they can quickly sound the alarm in the event of a potential fraud event.
Perhaps even more valuable, your CFEs can recognize that there are types of fraud that the existing procedures can’t quite handle and could potentially be costing the organization lots of money. They can then recommend solutions, such as available AI implementations.
By using their experience, CFEs can direct the AI systems to interpret data that isn’t normally considered. They can also apply the algorithms in inventive ways to solve a critical issue.
Let AI do the heavy lifting
There are two main types of AI implementation with fraud detection: supervised and unsupervised. Supervised models use data inputs that have already been tagged properly. Conversely, unsupervised models are usually applied to less organized data. AI is allowed to search for potential groupings.
It’s important to note the criticalness of the data that goes into these models. Data hygiene applies the adage “garbage in, garbage out.” For the best results, a process must be established that ensures the data is free of bias and has good hygiene.
Remember that AI’s strength is that it spots anomalies in patterns. However, when the data changes, AI may flag real transactions as fraudulent. (A key example would be overseas credit card transactions.)
A Certified Fraud Examiner needs the right tools
To put it simply, AI is a powerful tool. Humans shouldn’t try to compete with it in regard to the tasks it was designed to do. Rather, CFEs can work the edge cases and spot trends before they affect your organization.
By pairing the power of AI with the intuition and ingenuity of humans, your organization can be fully protected.
With Fraud.net’s enterprise fraud detection and prevention system, you can access advanced fraud protection tools that both augment and complement your team:
- A simple, complete solution that can help you streamline your fraud management and identify everything from collusion to mobile fraud.
- Consortium data to share anonymous data about bad actors with a collective intelligence network. This can help you flag frequent attackers and decrease risks.
- Business intelligence to identify fraud in real time and at scale with visualizations and data mining methods. These methods cover thousands of variables across transactions and devices.
To learn more about Fraud.net’s enterprise fraud detection and prevention system, take a walkthrough of the groundbreaking solution or contact us today to schedule a demo.