Fighting fraud at scale: Why collaboration is now essential

Fraud is no longer simply a financial crime challenge. It has evolved into a cross-sector economic and national security issue that affects public institutions, commercial organizations, and consumers alike. Criminal enterprises increasingly target payment systems, identity ecosystems, government programs, and digital services, creating consequences that extend far beyond direct financial losses. 

The scale and sophistication of modern fraud have transformed it into a broader trust challenge. Every successful fraud scheme weakens confidence in the systems that citizens and customers depend on to receive benefits, manage finances, access services, and conduct business. 

Technology has accelerated this shift. Fraud networks can now automate attacks, synthesize identities, reuse stolen credentials, and exploit digital platforms at a pace that outstrips traditional manual controls. As a result, government agencies face growing pressure to protect taxpayer dollars while maintaining access to essential services. At the same time, commercial organizations must defend customers, transactions, and business operations in increasingly compressed decision windows. 

While their responsibilities differ, both sectors are increasingly confronting the same threat actors, tactics, and vulnerabilities. The challenge isn’t a lack of fraud controls, because most large agencies, banks, payment providers, and technology platforms have mature fraud capabilities. It’s more that those capabilities still operate largely within organizational boundaries, while criminal networks operate across them. Fraudsters share tools, credentials, infrastructure, synthetic identities, and tactics across thousands of victims simultaneously. Defenders often detect only the portion of activity occurring within their own environment, creating blind spots that organized fraud networks actively exploit. 

Public and private sectors face shared challenges 

Government agencies occupy a unique position within the fraud ecosystem. They act as regulators, identity providers, operators of benefit and payment systems, and facilitators of intelligence-sharing initiatives. They also have a responsibility to serve as effective stewards of taxpayer funds by preventing fraud, waste, and abuse while ensuring essential services remain available to eligible recipients. 

Commercial organizations bear a different but equally important set of responsibilities. Financial institutions, payment providers, technology firms, and retailers often serve as the first line of fraud detection because they see customer behaviors, account activity, device signals, transaction patterns, and attempted abuse across large digital environments. That visibility can reveal emerging fraud tactics before they appear at scale in public programs. Private sector organizations also continue to drive innovation in identity verification, behavioral analytics, fraud scoring, device intelligence, and operational response models that can inform broader defensive approaches. 

Despite these complementary strengths, both sectors face common challenges, including: 

• Fragmented intelligence across organizations and jurisdictions 
• Separate fraud and cybersecurity operating models 
• Inconsistent fraud reporting standards, organizational priorities, and risk tolerances 
• Limited mechanisms for real-time collaboration 
• Privacy, information, and data-sharing constraints due to legal, policy, and operational barriers 

Criminal organizations take advantage of these gaps. A fraud scheme detected by one institution may already be affecting others before information is shared broadly enough to spur action. Consider a common example: A financial institution identifies a synthetic identity and closes the account. Days later, the same identity is used to open accounts elsewhere, apply for government benefits, and initiate payment fraud. Each organization sees only a fraction of the activity and responds independently. By the time connections are made, losses may have already occurred across multiple sectors. 

Overcoming this asymmetry requires a shift from isolated fraud prevention efforts to a model built on shared intelligence and coordinated action. 

Building a framework for collective action 

Collaboration transforms isolated fraud signals into actionable intelligence by combining insights from government agencies, financial institutions, and technology providers to reveal patterns that would otherwise remain hidden. When organizations share information through trusted channels and common standards, they can detect and disrupt fraud schemes earlier. They can also align controls across identity, payments, cybersecurity, and investigations while reducing the ability of criminal networks to reuse tactics across sectors.  

Beyond preventing losses, this approach strengthens public trust, supports more targeted fraud controls, and creates a more resilient fraud risk management ecosystem—one in which lessons learned in one sector enhance protection across others. As fraud threats continue to evolve, organizations should consider adopting a structured approach to public-private collaboration that moves beyond ad hoc information sharing and establishes a repeatable model for coordinated prevention, investigation, and disruption. 

4 steps for strengthening collective resilience 

While implementation will vary across industries and jurisdictions, taking the following critical steps can help organizations transform disparate observations into collective action and strengthen resilience against increasingly interconnected fraud threats. 

1. Align priorities. Organizations should begin by identifying shared priorities and objectives. A common understanding of risks helps them coordinate more effectively, reduce duplicated efforts, and focus collaboration on the threats most likely to create cross-sector harm. Key actions include: 

• Identifying emerging fraud threats that affect multiple sectors or programs 
• Aligning risk management priorities around common threat actors, tactics, vulnerabilities, and outcomes 
• Establishing shared terminology and reporting standards so that information can be interpreted consistently 
• Defining escalation pathways for significant incidents that require cross-sector awareness or response 

Strategic alignment creates the foundation for effective public-private collaboration by helping organizations recognize similar threats, communicate in a common language, and mobilize coordinated action before fraud schemes scale across sectors. 

The outcome: Faster recognition of cross-sector fraud campaigns and clearer prioritization of shared risks before losses scale 

2. Enable trusted information sharing. Public-private collaboration often fails not because organizations lack the willingness to work together but because they lack clear frameworks for sharing information safely, lawfully, and consistently. Privacy considerations, legal requirements, operational concerns, and uncertainty around data use can create hesitation precisely when timely collaboration matters most. Establishing trust before an incident occurs helps organizations share information with greater confidence and enables collaboration to scale beyond ad hoc relationships. Important considerations include: 

• Defining privacy protections, permissible users, and data-minimization expectations 
• Clarifying legal, regulatory, and policy requirements before high-pressure incidents occur 
• Establishing accountability frameworks, oversight mechanisms, and documented decision rights 
• Identifying roles and responsibilities for receiving, validating, using, and acting on shared information 
• Creating feedback loops so that shared intelligence can be evaluated for usefulness, accuracy, and impact 

Government organizations face an additional responsibility: balancing fraud prevention with commitments to accessibility and equity. Unlike many commercial enterprises, government agencies often can’t simply deny service because a transaction appears suspicious. Effective fraud controls must distinguish between legitimate risk and need while protecting both public funds and access. Trust and governance controls enable organizations to share intelligence confidently, collaborate at scale, and act collectively without compromising privacy, security, and mission requirements. 

The outcome: Greater willingness to share actionable intelligence without creating unnecessary compliance, privacy, or mission risk 

3. Share intelligence and coordinate action. Being able to exchange timely, actionable information is critical. Effective collaboration should move beyond periodic updates to support earlier detection, faster triage, coordinated investigations, and disruption of organized fraud networks. Organizations should focus on:

• Sharing fraud indicators, risk signals, and observed tactic changes 
• Coordinating investigations when appropriate 
• Exchanging threat intelligence, identifying cross-sector fraud trends, and translating them into preventive controls, alerts, and investigative priorities 
• Supporting disruption efforts against organized criminal networks by connecting information across organizations before activity becomes widespread 

The goal is to move from reactive information sharing to proactive collaboration so that one organization’s early warning can become another organization’s prevention opportunity.  

The outcome: Earlier detection, faster triage, and more coordinated disruption of fraud activity before it spreads across organizations. 

4. Measure collective impact. Collaboration should be evaluated on the strength of the outcomes it enables, not just the number of meetings held or reports exchanged. Organizations should establish performance metrics that assess whether shared intelligence and coordinated action are improving effectiveness, minimizing unintended impact, and strengthening resilience over time. Useful metrics include: 

• Fewer confirmed fraud losses or attempts, indicating more effective deterrence 
• Better detection, high-risk investigation priority, and intervention speeds 
• Fewer repeat fraud activities and linked schemes, leading to increased disruption of organized fraud activity across programs, institutions, and channels 
• Fewer false-positive rates, unnecessary verification challenges, and manual reviews 
• Better customer satisfaction scores, complaint volumes, resolution times, and abandonment rates 

Being able to consistently measure outcomes can help organizations understand what works, refine collaboration mechanisms, and demonstrate the value of collective action.  

The outcome: Demonstrable reduction in fraud losses, investigation time, and unnecessary customer or citizen friction. 

Protecting trust requires partnership 

Fraud networks are already operating across organizational and sectoral boundaries. Defenders need to do the same. Public and private sector organizations can’t afford to wait for new regulations, technologies, and major incidents to begin working together.  

Organizations that start building these relationships and governance structures today will be better-positioned to identify threats earlier, disrupt criminal activity more effectively, and strengthen trust in the systems they’re responsible for protecting. Doing so requires turning collaboration into a functionally operational capability.