Public–Private Partnerships as a Structural Response to Global Scams

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Scams now operate at scale  across platforms, payment systems, and telecommunications infrastructure. Criminal groups exploit gaps between public and private sectors, which limits the impact of isolated regulatory, enforcement, or technical responses.

Global research into scam prevalence and reporting highlights the structural nature of the challenge. Findings from GASA’s Global State of Scams reports  show that while scam exposure is widespread, reporting remains fragmented, with victims often unsure where to turn or sceptical that reporting will lead to action. This reflects the reality that responsibility for prevention, reporting, and response is split across public bodies and private-sector organisations, highlighting weaknesses that scammers are quick to take advantage of.

Together, these findings point to a coordination challenge  rather than a lack of vigilance. Responsibility for prevention, detection, enforcement, and victim support is distributed across sectors, creating systemic gaps  that scammers exploit.

Public–Private Partnerships  provide a way to address this fragmentation by aligning responsibility, intelligence, and action across organisations involved at different points in the scam lifecycle .

This framing underpins international policy discussions, including those taking place at the Global Fraud Summit  in Vienna on 16–17 March 2026, where GASA will be participating alongside public and private sector stakeholders examining how collaboration can be formalised and sustained.

Why Single-Sector Responses Fall Short

Public authorities  are responsible for setting rules, investigating crime, and coordinating internationally. Private-sector organisations , meanwhile, operate or protect much of the infrastructure scammers abuse, including platforms, payment rails, and telecommunications networks.

When these actors operate separately, gaps emerge. Law enforcement may only see cases once harm has occurred. Financial institutions  may detect suspicious transfers without insight into the deception that prompted them.  Platforms  may identify misuse patterns but be limited to interventions within their own services. Public–Private Partnerships help bridge these fragmented perspectives, enabling more coordinated prevention and response.

Public–Private Partnership as an Operating Model

Across policy and practitioner discussions, Public–Private Partnerships are increasingly treated as an operating model  rather than a single initiative.  This places emphasis on  sustained collaboration  between public authorities and private-sector organisations, clarifying roles, improving coordination, and supporting more consistent responses to scam activity.

Every scam will cross multiple platforms and frequently multiple jurisdictions. This means that no one actor can effectively detect, disrupt and go after scammers. This is why strategic public-private partnerships in the spirit of joint trust and collaboration are fundamental to scam prevention and enforcement, and why without them we will be rapidly outclassed by the highly sophisticated organised crime groups responsible for this awful crime. 

Andrei Skorobogatov
Director of Policy, Global Anti-Scam Alliance

These elements are interdependent. Standalone measures may help in one area while leaving gaps elsewhere. A partnership model supports a coherent system in which policy, technology, enforcement, and consumer protection reinforce each other rather than operating in parallel.

Want to play a more active role in tackling scams and fraud? GASA Working Groups bring members together to collaborate on practical, real-world solutions.

Lessons from Sustained Cross-Sector Discussion

Sustained discussion across international forums, including industry and cross-sector forums such as GASA’s Global Anti-Scam Summits , reinforces several practical lessons about what makes partnerships effective.

Some of the most effective partnerships are operational , with information sharing  structured in forms that can be acted on quickly. Others focus on strategic coordination, shared threat intelligence, or longer-term alignment across sectors. In practice, partnerships require broad cross-sector participation, since uneven defences tend to displace scams rather than reduce them.

Successful partnerships also remain adaptive . Scam tactics evolve rapidly, and partnership models need mechanisms to update processes, expand participation, and incorporate new tools without undermining trust.

Networked Threats Require Networked Responses

Scam operations function as distributed networks . Countering them requires responses that are connected across sectors and borders, combining operational action with shared intelligence and strategic coordination.

By linking authority, operational visibility, and technical capability, Public–Private Partnerships support earlier intervention, more informed decision-making, and more effective disruption of scam activity, without relying on centralised control.

Closing Perspective

Global research, practitioner experience, and current international policy discussions point to the same conclusion. Public–Private Partnerships are no longer an emerging concept in scam prevention. They are a practical requirement for reducing harm at scale.

The challenge now lies in design and delivery, building partnerships that are trusted, governed, and capable of adapting to an evolving threat landscape.

Sign up to the GASA newsletter for regular updates on scam prevention, research, and best practices.

About the Author

James Greening is a Digital Content Manager at the Global Anti-Scam Alliance (GASA), where he writes on cyber-enabled fraud and developments in the global fight against online scams. He previously founded Fake Website Buster, a project dedicated to identifying and raising awareness of fraudulent websites.

Connect with James Greening on LinkedIn

Feb 17, 2026
5 minute read
Category
Best Practices Topic - Fraud Policy Industry - Policy Makers
Written by
Jorij Abraham
Managing Director
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