Fraud in the Modern Era: Detecting What Traditional Systems Miss
Leadership Connect, in partnership with Splunk, hosted “Fraud in the Modern Era: Detecting What Traditional Systems Miss,” a webinar focused on how organizations are rethinking fraud detection as threats become more sophisticated, faster-moving, and increasingly tied to cybersecurity, identity, data, and digital risk.
The conversation explored how agencies and organizations can move from reactive investigations toward earlier detection and prevention. Across the discussion, one theme was clear: modern fraud is not one problem with one solution. It requires stronger data visibility, better identity verification, clearer risk signals, cross-team collaboration, and ongoing attention to how fraud tactics continue to change.
Couldn’t attend live? View the event here and make sure to follow our events page to join the next conversation. Below are the key themes that shaped the discussion.
Fraud is moving faster than traditional systems can respond
The webinar opened with a discussion of what is making fraud harder to detect today. Panelists pointed to the speed of modern fraud, the scale of online interactions, and the growing connection between fraud, cybersecurity, identity, and operational risk.
As more services move online, fraudsters have more ways to test systems, impersonate users, manipulate documents, and launch attacks at scale. New technologies can lower the skill level needed to create convincing fraud attempts, including fake documents, altered images, manipulated video feeds, and other synthetic materials. That makes it harder for organizations to rely on older assumptions about what suspicious activity looks like.
The panel also discussed the gap between how quickly fraud changes and how quickly large organizations can modernize systems, align programs, and adjust processes. Program silos, competing priorities, multi-year system modernization efforts, and fragmented data all make it harder to move from reacting after fraud occurs to preventing it earlier.
Legacy approaches often miss the full picture
The panel returned often to the importance of data visibility. Organizations cannot protect what they cannot see, and they cannot manage risk effectively without understanding where their data lives, how it moves, and how different signals connect.
Fraud detection depends on being able to bring together information from across systems. A failed login, a bank account change, an unfamiliar IP address, a new device, a document upload, or a customer service interaction may not tell the full story on its own. When those data points are connected, they can reveal patterns that would otherwise go unnoticed.
This is where the panel emphasized the need to move from isolated data to meaningful risk indicators. Better visibility can help organizations identify what is normal, recognize when behavior moves outside expected patterns, and decide where to apply additional scrutiny without slowing down every legitimate user.
Visibility is the foundation for better fraud detection
The panel returned often to the importance of data visibility. Organizations cannot protect what they cannot see, and they cannot manage risk effectively without understanding where their data lives, how it moves, and how different signals connect.
Fraud detection depends on being able to bring together information from across systems. A failed login, a bank account change, an unfamiliar IP address, a new device, a document upload, or a customer service interaction may not tell the full story on its own. When those data points are connected, they can reveal patterns that would otherwise go unnoticed.
This is where the panel emphasized the need to move from isolated data to meaningful risk indicators. Better visibility can help organizations identify what is normal, recognize when behavior moves outside expected patterns, and decide where to apply additional scrutiny without slowing down every legitimate user.
Prevention requires balance, not blanket friction
Another key theme was the need to balance fraud prevention with operational efficiency and user experience. Stronger controls are necessary, but too much friction can overwhelm teams, delay legitimate payments, and create burdens for the people agencies are trying to serve.
The panel discussed the importance of moving beyond a simple approve-or-deny model. Not every risk signal requires the same response. Some activity may be clearly safe, some may be clearly risky, and some may require additional review. The challenge is identifying where that middle ground exists and applying extra checks only where they are most needed.
This kind of approach requires feedback loops. Organizations need to understand which risk models are working, where false positives are creating unnecessary burden, where fraud is still getting through, and how processes should be adjusted over time. The goal is not to eliminate every possible risk in one step. It is to build a smarter, more adaptive process that improves with better data and clearer outcomes.
Identity is becoming a larger part of the fraud conversation
Identity came up throughout the webinar as a central piece of modern fraud prevention. As more transactions and services move online, organizations need stronger ways to verify who they are interacting with and whether the person, document, image, or video being presented can be trusted.
The panel discussed the importance of evaluating identity technologies against real-world fraud scenarios. This includes testing whether systems can detect manipulated images, fraudulent documents, mismatched selfies, or altered video feeds. The goal is not only to adopt new technology, but to understand how well that technology performs, where it fails, and whether it reduces risk in practice.
The conversation also touched on newer approaches such as verifiable digital credentials, mobile driver’s licenses, and digital versions of identity documents. These tools may help make identity verification stronger and easier to validate, but panelists emphasized that new systems must be designed around real use cases, accessibility, and evolving attack methods.
Payment integrity depends on earlier checks and stronger accountability
The conversation also focused on payment integrity and the need to check risk before money goes out the door. Panelists discussed the value of real-time checks, stronger controls at the point of disbursement, and better use of data before a payment is certified or released.
Rather than relying only on after-the-fact review, organizations are working to verify information earlier in the process and again before disbursement. That approach can help agencies catch risk sooner, improve accountability, and make better use of available data.
The panel also discussed the importance of making these processes easier for agencies to use. Stronger fraud detection should not only add controls. It should help agencies understand risk, use data more effectively, and build repeatable processes that can improve over time.
Collaboration helps agencies learn faster
Fraud prevention does not belong to one team. It often involves operations, cybersecurity, identity, compliance, investigations, program leadership, technology teams, legal teams, and outside partners. The panel emphasized that stronger fraud detection requires these groups to work together rather than operate from separate silos.
The discussion highlighted the importance of shared goals, anti-fraud culture, and leadership support. When priorities are aligned at the top, teams can break down silos more quickly and build stronger processes across programs.
The panel also discussed the value of working groups, shared evaluations, industry challenges, interagency collaboration, and partnerships between government and technology providers. These efforts help organizations learn from one another, share what they are seeing, and improve how they respond to emerging threats.
AI is changing both the threat and the response
AI was discussed as both a challenge and a tool. On one hand, generative AI and related technologies can help bad actors create more convincing fraud attempts and move faster across digital systems. On the other hand, AI and machine learning can help organizations analyze large volumes of data, spot anomalies, and support faster investigations.
Panelists discussed how AI-assisted tools can help users search across data sources, identify anomalous transactions, pivot into related activity, and build dashboards more quickly. These capabilities can help reduce the time it takes to move from raw data to useful insight.
At the same time, the panel cautioned that technology is changing quickly. A process that feels secure today may not remain secure six months from now. Organizations need flexible approaches that can adapt as fraud tactics and digital tools continue to evolve.
Organizations should get back to the basics
The webinar closed with practical takeaways for organizations looking to strengthen fraud detection and prevention.
One major takeaway was the importance of persistence. Fraud prevention is a long game, and organizations need to keep building the foundational steps that support better visibility, better data sharing, and stronger oversight.
Another takeaway was the importance of questioning assumptions. Organizations should not assume that a tool works exactly as expected, that an existing process is still secure, or that a risk has been solved permanently. Testing, measurement, and ongoing evaluation are essential.
The final takeaway focused on visibility and fundamentals. Organizations need to know what they are protecting, where that data is, how people access systems, and how information moves. Without that foundation, it is difficult to prevent fraud, investigate suspicious activity, or understand where risk is entering the environment.
Final thoughts
Fraud in the modern era is faster, more connected, and more adaptive than traditional systems were designed to handle. As digital services expand and bad actors gain access to more advanced tools, organizations need stronger visibility, better coordination, and more flexible approaches to risk.
The webinar made clear that the path forward is not only about new technology. It is about connecting data across systems, strengthening identity practices, testing what works, building an anti-fraud culture, and helping teams collaborate around shared risk.
Modern fraud detection requires organizations to see more clearly, act earlier, and keep adapting as threats evolve.
Watch the recording
Missed viewing the webinar while it was live? Check out the recording here!
