The latest INTERPOL report highlights a 54% increase in fraud-related notifications between 2024 and 2025, with more than 1,500 transnational cases investigated and at least $1.1 billion in illicit assets tracked.
These figures reflect only part of the problem and point to one of the key financial fraud trends globally: a sustained rise in fraud that is becoming increasingly sophisticated and impactful across financial systems.
In this new landscape, the ability of financial institutions to strengthen their fraud prevention strategies and digital identity verification has become a critical factor in maintaining security and trust in the financial ecosystem.
Financial fraud is evolving into an industrial model
INTERPOL identifies a key shift: fraud has moved from being opportunistic to operating as a global industry, with production, distribution, and scaling models similar to those of a business.
The three main elements are:
Scaled production:
- Fraud-as-a-service models available on criminal marketplaces.
- Phishing kits, voice cloning, and synthetic identities.
- This enables low-skilled actors to launch sophisticated campaigns within hours.
Modular specialization:
- Criminal networks with clearly defined roles: technology development, victim acquisition, money laundering, and infrastructure management.
- This structure allows operations to be easily replicated and adapted across different markets.
Automation powered by artificial intelligence:
- Use of generative AI and autonomous agents to analyze victim profiles and generate personalized messages.
- Real-time optimization of deception strategies.
The result is a qualitative leap in both efficiency and scale. Campaigns are more credible, faster, and harder to detect. In this new paradigm, fraud no longer depends on the individual skills of the fraudster, but rather on the infrastructure available.
What are scam centres and how do they operate globally?
Within this industrialization, scams centres have emerged as one of the main drivers of global fraud. They originated in Southeast Asia but now operate as transnational networks across Africa, Latin America, and the Middel East.
Their logic is industrial: in a single location, hundreds or even thousands of individuals can be executing coordinated campaigns using scripts, automation, and multilingual operations.
A critical element is their “dual victim” model: people defrauded worldwide and, at the same time, individuals exploited within these centres, often victims of human trafficking. INTERPOL has identified cases linked to nearly 80 countries.
For financial institutions, the impact is direct: higher volumes, greater sophistication, and persisten attacks that surpass traditional detection mechanisms.
Main types of fraud and how financial institutions should respond
The INTERPOL report identifies five predominant types of fraud globally, all with a direct impact on the banking sector.
However, in today’s landscape, understanding fraud is only scratching the surface. The real challenge for financial institutions is to anticipate and respond in real time, without compromising user experience or regulatory compliance.
To achieve this, more and more organizations are evolving toward integrated models that combine digital identity, fraud prevention, and compliance into a single approach, supported by technologies such as artificial intelligence, continuous analysis, and frictionless multibiometric solutions like those developed by Facephi.
Below, we analyze the main types of fraud and what each one requires in terms of detection and response.
1. Business Email Compromise (BEC)
Business Email Compromise remains one of the most widespread and costly types of fraud. INTERPOL highlights that this type of fraud continues to generate high-value losses, especially in regions such as North America and Europe, where corporate transactions are more frequent.
As we have recently analyzed on our blog, this type of fraud is based on identity impersonation within an organization (executives, suppliers, or partners) to induce fraudulent transfers.
Impact on banking:
- High-value transfers that are difficult to reverse
- Use of legitimate accounts to channel funds
- Increase in suspicious transactions in corporate banking
How to respond to and prevent BEC
This type of fraud exposes a key weakness: relying solely on credentials is no longer sufficient. Financial institutions must strengthen identity verification aat critical points in the user journey by incorporating biometrics and behavioral analysis to detect anomalies, even when access appears legitimate.
In addition, the use of behavioral biometrics makes it possible to identify account takeover signals in real time by monitoring sessions and detecting deviations in user interactions before the transaction is executed.
2. Investment fraud
Investment fraud is one of the fastest-growing and most economically impactful types of fraud globally. In regions such as Africa and Asia-Pacific, INTERPOL identifies it as a major threat, with significant increase in reported cases.
Criminals create fake platforms or manipulate digital environments to build trust and attract capital, often using cryptocurrencies to make funds harder to trace.
How to respond to and prevent investment fraud
Early detection is critical. Financial institutions must combine real-time transaction monitoring with artificial intelligence models capable of identifying anomalous patterns and risky behaviors, especially in operations linked to digital assets.
In this context, the ability to detect and classify mule accounts becomes essential, as it enables institutions to identify fraud networks and block the movement of funds before they are dispersed, reducing both financial impact and regulatory risk.
3. Impersonation fraud
This type of fraud has evolved significantly with the use of artificial intelligence. INTERPOL highlights the rise of attacks that combine impersonation with technologies such as deepfakes, voice cloning, and automation, increasing their success rate.
Its goal is to create a sense of urgency or trust to trigger immediate actions from the victim.
Recent examples:
- Simulated kidnappings using AI-generated content
- QR code scams (quishing)
- Automated calls with cloned voices
Impact on banking:
- Loss of customer trust
- Increase in fraud across digital channels
- Overload of customer service operations
How to respond to impersonation fraud
It is essential to evolve toward continuous verification models. It is no longer enough to validate users during onboarding—authentication must be dynamic throughout the entire customer journey.
The combination of biometrics, liveness detection, and AI-powered antifraud technologies enables the identification of manipulations such as deepfakes or synthetic voices in real time, strengthening security without adding friction to the user experience.
4. Synthetic identity fraud
Identity fraud has become a key enabler for multiple types of fraud. INTERPOL highlights the rise of AI-generated synthetic identities, which are used to open accounts, bypass KYC controls, and facilitate money laundering.
Techniques such as credential theft, SIM swap attacks, and forged documents accelerate the execution of these fraud schemes.
Impact on banking:
- Fraudulent onboarding
- Increase in fraud within KYC processes
- Challenges in early detection
How to respond to identity fraud
The key is to strengthen verification processes from the very beginning. Digital onboarding solutions with advanced biometrics, automated document verification, and AML checks enable the detection of fake identities before they enter the system.
In addition, integrating these capabilities into a unified platform makes it easier to orchestrate identity, fraud prevention, and compliance, improving efficiency and reducing blind spots.
5. Advance payment fraud
Although traditional, this type of fraud remains relevant and has adapted to digital environments. INTERPOL highlights its persistence in several regions, especially when combined with more sophisticated schemes, including fake job offers, prizes, or services that require an upfront payment.
Impact on banking:
- High volume of fraudulent microtransactions
- Use of digital channels and instant payments
- Increase in retail fraud
How to respond to advance payment fraud
In these cases, scalability is key. Financial institutions need systems capable of analyzing large volumes of transactions in real time, identifying suspicious patterns without creating unnecessary friction.
The use of dynamic risk models and multichannel analysis allows institutions to correlate signals from different touchpoints, detect anomalous behavior, and act proactively without affecting the user experience.
Regulatory Compliance: A Global and Coordinated Response
Financial fraud, being transnational, requires a global and collaborative response. INTERPOL emphasizes that no single actor can tackle it in isolation: law enforcement, financial intelligence units, regulators, and private entities, including banks, must coordinate to identify patterns, disrupt operations, and minimize impact.
In practice, this involves:
- Real-time intelligence sharing to anticipate movements and detect criminal networks.
- Rapid asset freezing to block funds before they are dispersed.
- Joint transnational investigations, acting on entire structures rather than just individuals.
- Updating regulatory frameworks, with increased oversight of AML/KYC and virtual asset service providers.
These initiatives reflect a shift in approach. Fraud is now addressed not as an individual crime, as before, but as part of complex criminal networks.
In response to these challenges, many financial institutions are adopting solutions that combine digital identity, fraud prevention, and regulatory compliance within a single ecosystem. Comprehensive platforms, like those developed by Facephi, cover everything from account opening to transaction monitoring, leveraging advanced biometrics, artificial intelligence, and machine learning to detect fake identities, account takeover, or mule accounts in real time.
At the same time, these tools ensure that the customer experience remains seamless, with smooth authentication and auditable evidence, while institutions maintain proactive response capabilities and regulatory compliance. In this way, banks can adapt to industrialized fraud without compromising trust or day-to-day operations.