Combat payment fraud and evolving threats with real-time payment protection that stops fraud before it happens
Fraudsters never seem to rest; in fact, 77% of anti-fraud professionals surveyed by the Association of Certified Fraud Examiners (ACFE) have reported an increase in fraud since February 2020—and they expect it to continue.1 For companies that have put effective fraud prevention and detection tools in place, that means that the volume of alerts often increases organically as well. With every alert, due diligence demands that an investigation needs to take place. Not only do these investigations consume your organization’s precious resources, but they can also cause friction with customers who tire of being contacted about the veracity of the transactions in question.
Machine learning is a great tool, but at some point, a financial institution may find itself out of step with where it needs to be on the cost vs risk continuum when it comes to managing its alerts. Tough decisions must be made regarding the assumption of more risk—by reducing the level and number of alerts—or taking on more costs by adding more investigators to the team. The equation can be further complicated when an organization adds business volume but is unsure how much their investigative resources need to be scaled to maintain an appropriate level of response.
This push and pull of cost vs. risk is a constant balancing act that all organizations must work through. However, for customers who rely on Bottomline Technologies’ proprietary fraud detection solution, Secure Payments, there are additional ways to manage these challenges and enable confident, data-driven decision-making. The real-world use cases below demonstrate the ability to strike the right balance with incredible precision using Bottomline’s additional analytics services, BTune and F.A.S.T. (Fraud Analytics Simulation Tool).
This international banking institution was already a Bottomline Technologies’ customer, using the Secure Payments solution in a nearly out-of-the-box configuration. However, they found that the volume of alerts being generated was not an ideal match with the lean size of their investigative team. Many of the flagged transactions were dismissed once the investigator dug in, but in having to chase these down, there was a concern that meaningful fraud would be missed. The bank reached out to Bottomline Technologies for an engagement with BTune, a unique service that increases the value of Secure Payments by deploying expert fraud advisors to work directly with a customer, fine-tuning their Secure Payments solution to match their risk appetite and staffing constraints.
The expert fraud advisor from Bottomline Technologies first held discussions with the bank’s fraud team to determine which types of alerts they wanted to see more often and which were not as helpful. After careful analysis, it was determined that the best way to utilize the bank’s fraud investigation resources and match their appetite for risk was to tune their system towards flagging more instances of suspected Business Email Compromise (BEC) and also prioritizing outbound payments and transactions originating from online banks.
After the tuning engagement, the bank’s investigators found themselves more able to focus their efforts on payments that the bank’s risk team was most concerned about—outbound SWIFT messages to new payees, especially those that originated in online banking rather than in the branches. Additionally, the bank’s investigators report that in order to resolve most of the alerts now, they actually need to reach out to customers to verify that the payment is legitimate instead of dismissing the alert as soon as it was opened. This improved the fraud team’s confidence— leading them to express that the tuned solution provides a customized volume of only the most targeted alerts that allow their limited collective investigational time to be highly productive. Eliminating the distractions of unnecessary alerts also allowed the bank to keep the same level of investigators but increase their focus—and shortly after the tuning engagement, the bank identified a $54,000 (€45,000) fraud.
With BTune services from Bottomline Technologies, alerts are matched to risk tolerance and adjusted for confidence. You can be sure that your investment has been maximized based on your unique needs, displaying the most meaningful alerts while feeling secure your fraud team is not missing any suspicious activity.
This Tier 2 US bank was already handling 75,000 accounts, 63,000 monthly wires and 60,000 batches of monthly ACH payments using Bottomline Technologies’ Secure Payments solution. Their team of six investigators was fully occupied with the current level of alerts from online banking ACH payments when it was determined that the company’s recent purchase of a new payments automation tool would result in a projected 3.5% increase in originated ACH payments.
The bank was concerned that their investigators might be overwhelmed with the accompanying increase in alerts, requiring them to scale the team. Management wanted to accurately estimate the expected number of additional alerts, and also see if it was possible to offset that increase by tuning the existing alert rules to reduce alerts—while staying within their risk tolerance. With these two goals in mind, they reached out to Bottomline Technologies for assistance. Bottomline’s fraud experts quickly determined that the best way to achieve both priorities was to tune the bank’s instance of Secure Payments after using F.A.S.T. to simulate outcomes of alternative configurations previously evaluated transactions as well as run simulations on the projected increase in payments. After a single upfront meeting with the bank, Bottomline Technologies was able to deploy F.A.S.T. to gather the necessary data and develop potential configuration changes based on the results.
In just three follow-up meetings, the team from Bottomline Technologies reviewed the results and proposed alternate configurations. To avoid adding investigative staff, the bank selected a configuration that projected a lower number of alerts but still adhered to their risk policy. After the rules tuning, investigators were pleased with both the quality and volume of the alerts—and even found that their workload became slightly lighter despite the added business. The bank’s management team was also happy to have achieved these positive outcomes with a very low level of involvement on their part in the tuning and simulation process.
In addition to the changes made during this engagement, the bank plans to re-evaluate analytics configuration after the projected growth is achieved and the bank has level-set with actual volumes and risks of the new payments. This will enable them to be prepared for new acquisitions as well as any changes to their business roadmap.
F.A.S.T. from Bottomline Technologies gives you the ability to foresee not only the impact on the business you already have but that of business you have not yet acquired. Backed by deep fraud expertise and powerfully focused analytics, you can make smart, confident decisions about your organization’s resources and carefully evaluate growth opportunities.
While the standard Secure Payments analytic capabilities from Bottomline provides superior protection, the company puts a premium on helping organizations adapt in step with the ever-changing payments landscape. This means developing and providing tools like BTune and F.A.S.T to support the unique needs of each customer—today and tomorrow.
77% of anti-fraud professionals surveyed by the Association of Certified Fraud Examiners (ACFE) have reported an increase in fraud since February 2020—and they expect it to continue.
The rate and scale of payments fraud continue to increase exponentially. Lower your fraud risk without increasing operating costs with BTune.
It's never quite good enough. That's how it can feel for organizations trying to implement fraud strategies these days. However, Bottomline's Secure Payments solution offers the ability to evolve as the fraud landscape and your organization's specific needs change.