G+D and FraudAverse have formed a strategic partnership to tackle payment fraud, focusing on banks and fintechs in the US, Canada and Latin America.
The partnership centres on integrating FraudAverse's cloud-based platform with G+D Netcetera's 3-D Secure Authentication product. The combined offer is intended to address instant payment fraud, money mule activity and card-not-present fraud through real-time transaction monitoring and anti-money laundering checks.
Financial institutions are facing rising losses across several forms of payment crime. The Nilson Report estimated global payment card fraud losses at USD $33.41 billion in 2024, against global card volume of USD $51.920 trillion.
Deloitte estimated that authorised push payment fraud losses in the US reached USD $8.3 billion in 2024 and could rise to USD $14.9 billion by 2028 as instant payment systems expand. The growth of real-time transfers has made it easier for criminals to move stolen funds before banks can intervene, while money mule networks help disperse those funds across accounts and institutions.
In online commerce, card-not-present fraud remains a persistent problem because merchants and financial institutions cannot rely on the physical card for identity checks. Industry groups have also warned of faster, more sophisticated attacks linked to fraud-as-a-service models and generative artificial intelligence.
Integrated tools
Under the partnership, the companies are combining behavioural risk analysis with authentication checks used during digital payment transactions. The approach is designed to help banks identify suspicious patterns earlier, reduce false positives and limit disruption for legitimate customers.
G+D already offers fraud prevention tools covering identity verification at onboarding, account takeover protection, dynamic CVV and tokenisation for eCommerce transactions. The new partnership adds FraudAverse's artificial intelligence models to that broader payments security portfolio.
Ryan Nowak, President of G+D's PayTech business in the US, outlined the rationale for the agreement.
"Fraud is evolving too quickly for financial institutions to rely on static defenses," said Ryan Nowak, President of G+D's PayTech business in the US. "By combining G+D's long-standing payment and security technology expertise with the AI-driven fraud intelligence of FraudAverse, we are helping banks respond faster and more precisely to serious threats and fight financial crime."
FraudAverse said the integration brings fraud monitoring closer to the payments process itself. The company specialises in cloud-based financial crime prevention software.
"Combating instant payment fraud at scale requires real-time intelligence embedded directly into the payments ecosystem," said Constantin von Altrock, CEO of FraudAverse. "Together with G+D and its trusted fraud prevention portfolio, we can bring that capability to more financial institutions."
Market pressure
The tie-up comes as banks face pressure from customers and regulators to curb losses without adding friction to payments. Faster payment networks have improved convenience for consumers and businesses, but they have also narrowed the window for stopping fraudulent transfers once they are initiated.
Money mule schemes have become a particular concern because they give criminals accounts that can receive and move illicit funds quickly. These networks often span multiple institutions, making detection harder when banks rely on isolated systems or fixed rules.
Artificial intelligence is playing a growing role in fraud prevention as firms try to spot unusual behaviour in real time. At the same time, criminal groups are using AI-based tools for social engineering and attack automation, increasing pressure on financial institutions to update their defences.
Munich-based G+D reported turnover of EUR €3.2 billion in its 2025 fiscal year and employs more than 14,500 people. The company operates across digital security, financial platforms and currency technology, with 118 subsidiaries and joint ventures in 41 countries.
FraudAverse describes its business as financial crime prevention delivered as a service. Its platform uses machine learning for risk scoring and predictive optimisation, alongside generative AI to identify threat patterns.
The regional focus on North and Latin America suggests the companies see strong demand in markets where instant payments are expanding and banks are under pressure to improve fraud controls. Deloitte has estimated that authorised push payment fraud losses in the US alone could reach USD $14.9 billion by 2028.