Every day millions of digital interactions happen around the world and, with them, opportunities for fraud also multiply. What were once simple scams with poorly written messages, today has become a global business driven by algorithms, Artificial Intelligence tools and criminal structures that operate like authentic technology companies. This is what Facephi warns in its new Fraud Intelligence Report 2025where he analyzes how Fraud as a Service (FaaS) has established itself as an underground industry on a global scale.

“Every digital interaction is an opportunity for criminals. Cybercrime has become sophisticated to the point of replicating human behavior and circumventing traditional controls. Therefore, it is necessary to adopt a vision that puts identity protection at the center. It is not enough to validate a face, the entire identity life cycle must be protected,” warns Javier Mira, CEO of Facephi.

Fraud as a service, a new global industry

The concept Fraud as a Service defines a business model in which cybercriminals offer, in a structured and professional way, complete packages with tools, tutorials and technical support to execute attacks. This model has democratized access to digital fraud, allowing anyone with basic knowledge to participate in identity theft, phishing or creating fake accounts.

He Fraud Intelligence Report 2025 from Facephi highlights that this trend has made identity fraud one of the most profitable crimes. According to data from World Economic Forumthe economic impact of cybercrime will reach $10.5 trillion annually this year, with identity theft as the main driver. The ease with which fraud kits and deepfake services can be purchased on the dark web has taken the threat to an unprecedented level.

Identity, the new perimeter of cybersecurity

For years, companies have invested in protecting their networks and systems, but Facephi believes this approach is outdated. The company proposes a new paradigm, the Identity First Securityin which the user’s digital identity is placed as the main axis of any security strategy.

This model is based on a clear premise, identity is no longer a set of data or a document, but a personal key that opens the door to all digital services. Hence, it is essential to ensure that each interaction is verified in real time, using continuous authentication technologies based on biometrics and predictive intelligence.

Facephi advocates that security should be built around identity, not systems. To this end, it proposes a comprehensive architecture that combines prevention, detection and response against three major fronts of digital fraud, identity theft, account takeover (Account Takeover or ATO) and authorized fraud, such as so-called mule accounts.

An x-ray of digital fraud and its most exposed sectors

The banking sector tops the list, with an increase in account takeover attacks through the use of deepfakes or false documents. Fintech and neobanks also suffer the impact of fraud automation, especially in user registration processes, where synthetic identities proliferate.

The sector of gaming is another of the hardest hit, due to the massive creation of fake accounts from device farms that seek to take advantage of promotions, bonuses or alter reward systems. This trend has been reinforced by the availability of generative bots capable of simulating human behavior in games and online platforms.

Facephi also warns that cybercrime as a service is testing the response capacity of regulatory frameworks. The lack of harmonized legislation, legal loopholes around digital crimes and the difficulty in tracking transnational operations are creating an environment of impunity that favors the expansion of fraud.

Verifiable identity, digital trust and secure future

The model Identity First It not only seeks to prevent attacks, but also to generate trust in digital environments. In a context in which the authenticity of each user has become critical, guaranteeing a verifiable identity becomes an essential requirement to operate safely.

Facephi proposes frictionless security, where authentication is continuous, invisible to the user and backed by a unique “digital DNA” that is updated with each interaction. This approach, based on artificial intelligence and machine learning, allows fraud attempts to be anticipated before they occur, reinforcing the protection of companies and citizens.