How shared intelligence strengthens check fraud prevention

A new era in consortium-driven check fraud prevention 

Check fraud remains a material risk for banks, credit unions, businesses, and government agencies. Fraudsters can alter checks, create counterfeits, and attempt duplicate deposits across mobile, ATM, branch, and remote deposit capture channels. Because these schemes often target more than one institution, fraud prevention tools that rely only on an institution's internal data can miss threats that have already appeared elsewhere.

Shared fraud intelligence gives financial institutions a broader view of emerging check fraud. By securely pooling relevant fraud signals across participating institutions, a consortium can help members identify suspicious items faster, recognize cross-channel attack patterns, and prevent repeat attempts before a fraudulent check is accepted.

Check fraud prevention at a glance

Shared fraud intelligence helps banks and credit unions identify suspicious checks before losses occur by connecting fraud signals across participating financial institutions.

A fraud consortium can help institutions:

• Detect altered, counterfeit, and duplicate checks in real time

• Identify fraud patterns that may not be visible within one institution's data

• Share intelligence across mobile, ATM, branch, and remote deposit capture channels

• Improve fraud decisions with continuously updated machine learning models

• Reduce the chance that a check rejected by one institution is accepted elsewhere

For financial institutions, the key advantage is speed. When fraud intelligence is shared across a network, a suspicious item can be recognized and evaluated before it creates additional losses.

A smarter, stronger approach: the fraud consortium  

What is shared fraud intelligence? 

“Shared fraud intelligence” refers to pooled, fraud-related data and analysis across multiple financial institutions, shared in a privacy-compliant and secure manner. The institutions sharing the data are referred to as a consortium, and benefit from access to data with broad visibility across the entire financial ecosystem. With this consortium model, when a fraud attempt occurs at one member institution, all others in the consortium gain knowledge of the attempt in real-time, strengthening their collective defenses. 

How consortium fraud detection works 

Within a fraud consortium, data points from billions of transactions across all channels, like mobile, ATM, and branch transactions, are aggregated and analyzed. This collective intelligence is then used by advanced machine learning models that continuously refine the fraud scoring and decisioning process. 

The shared algorithm may identify specific fraud trends, and they can also help institutions react to specifics, like if a counterfeit check is flagged at one large bank and later is presented at a smaller credit union, that credit union has the intelligence needed to block that specific item instantly. That’s the power of real-time check fraud detection powered by consortium data.  

Consortiums vary in what external signals are included (like data from the dark web), the breadth of members included, how close to real-time the data they provide is, and their AI and machine learning capabilities. For the most effective fraud defense, choose a consortium with all of these capabilities. 

Mitek’s Check Fraud Defender 

Mitek Check Fraud Defender is designed to help financial institutions strengthen check fraud controls with shared intelligence and real-time fraud signals. Financial institutions can use the solution to:

• Evaluate fraud signals informed by activity across participating institutions
• Detect potential altered checks, counterfeit items, and duplicate presentments in real time
• Add relevant external intelligence to internal fraud decisioning workflows
• Support fraud monitoring and response across mobile, ATM, branch, and remote deposit channels
• Continuously improve detection decisions as new fraud patterns emerge

Check Fraud Defender is intended to complement an institution's existing fraud strategy, helping risk teams act earlier and make more informed decisions without requiring a complete replacement of established systems.

Collective defense in an ever-evolving threat landscape  

The limits of siloed fraud tools 

Financial institutions have long relied on their internal systems to fight check fraud. While these systems have proven effective at stopping many threats, their view has been limited to only the types of fraud the institution itself has anticipated or previously encountered.  

This creates blind spots for fraudsters to exploit - like targeting multiple institutions with the same altered or counterfeit check. Without shared intelligence, the likelihood that one or more institutions will process the fraudulent item is increased. It also creates a less level playing field, with fraudsters knowing that the resources a smaller credit union might have to combat fraud are often less robust than those at a larger institution, making these smaller institutions more likely targets. 

Closing the gaps with shared fraud intelligence 

Consortium fraud detection eliminates these vulnerabilities. Cross-institution visibility and shared fraud intelligence allow financial institutions to: 

• Identify items flagged elsewhere: once a counterfeit check has been rejected by one bank, all network members are aware that the check was flagged, preventing it from being accepted at another member institution 
• Enable cross-channel analysis: irrespective of whether a fraudulent check has been deposited at an ATM, via remote deposit capture, or in a bank branch with a teller, the consortium ensures it is flagged for recognition at every institution and on every channel 
• Catch “on-us” fraud attempts: these occur when a fraudster tries to pass a fraudulent check drawn on the same institution, and while it might not seem intuitive for a bank to need consortium defenses in this situation, the attacks are often repeated in different geographies and/or different channels, and the real-time consortium data can supplement their internal defenses 

Modern fraud schemes often involve duplicate presentments, account takeovers, and remote deposit capture (RDC) fraud, with checks deposited through multiple channels and/or banks, making this shared data invaluable. 

Fraudsters don’t work alone - neither should you 

Organized fraud rings now communicate, share stolen data, and coordinate their tactics more effectively than ever. They’ve embraced data sharing, AI, and machine learning-powered tools that enable them to generate better fakes, and secure real-time communication channels (like Discord, Telegram, and WhatsApp) to extend their reach and expand their operations.  

In contrast, financial institutions have historically fought against these actors alone, with highly varying levels of technical sophistication. With shared fraud intelligence, institutions can now flip the script and give themselves the same scale, collaboration, and real-time communication advantage that criminals have historically enjoyed.  

Recognized by industry leaders 

The efficacy of consortium models has been validated by industry leaders for the real-world value it delivers. In 2024, Mitek’s Check Fraud Defender received top honors at the Datos Insights Fraud and AML Impact Awards, in the category of Best Transaction Fraud Monitoring and Decisioning Innovation. 

Mitek’s recognition demonstrates that the power of real-time fraud detection powered by consortium intelligence is making an impact on the industry. Institutions can now intervene immediately, instead of reacting to fraud after losses have already occurred. The benefits are immense for institutions and their customers alike. 

Expand your reach without adding complexity 

Integration made easy 

Banks and credit unions are already juggling many complex fraud prevention tools, compliance solutions, and core banking systems. Adding yet another layer may feel daunting. 

Check Fraud Defender was designed with ease of integration in mind. The platform feeds real-time fraud risk signals directly into an institution’s existing workflows - without requiring a full tech stack overhaul. 

Flexible deployment 

Multiple options exist for integrating shared fraud intelligence. These include MiControl, Mitek’s intuitive fraud-management console for real-time monitoring and response; fraud orchestration platforms that offer seamless integration with existing decisioning and case management tools; or API- and cloud-hosted solutions that are scalable to grow with the needs of an institution. 

Flexible deployment allows for institutions of all sizes, whether they’re community banks or operate on a national level, to be able to join the consortium without disrupting their operations. The result is stronger defenses for everyone, with less friction. 

Why shared fraud intelligence is the future of check fraud prevention 

The future of check fraud prevention will require consortium-level collaboration and shared fraud intelligence to protect against scaled threats that target our financial institutions.  

By participating in consortium models, institutions gain: 

• Broader visibility into fraud attempts across the entire industry 
• Faster detection and intervention capabilities, and the ability to stop fraud in-session 
• Improved accuracy of detection, with continuously updated collective intelligence 
• Greater overall resilience against organized fraud networks 

The consortium model presents a paradigm shift in how the entire financial industry can now protect itself, its customers, and the integrity of the entire financial system against fraud networks. 

Conclusion: power in numbers 

Organized fraud networks have already discovered the value of collaboration. Now, financial institutions have the opportunity to do the same. Shared fraud intelligence, delivered through consortium-driven platforms like Mitek’s Check Fraud Defender, provides institutions an opportunity to level up their defenses against fraud with an additional layer of protection. 

The benefits, like real-time detection, industry-wide visibility, and collective defenses against organized fraud, are significant for institutions of all sizes. Everyone benefits from the breadth and depth of knowledge and resources they get when fighting together instead of fighting alone.