The acceleration of digital transformation within the banking sector has profoundly reshaped the risk landscape. While omnichannel approaches and the digitization of customer journeys offer undeniable opportunities for operational efficiency, they are accompanied by a growing imbalance in the face of an endemic threat: the industrialization of fraud. At the heart of this risk matrix lies a priority—and often overlooked—target: vulnerable customers.
For financial institutions, supporting this type of client is no longer solely a matter of Corporate Social Responsibility (CSR) ; it has become a key prudential, legal, and strategic issue.
Summary
In the face of the rise in bank fraud, protecting vulnerable customers has become a major strategic issue for financial institutions. With scams becoming increasingly sophisticated, the exploitation of trust, and the economic or digital vulnerabilities of certain groups, banks must now move beyond purely technological approaches to adopt a comprehensive prevention strategy. This article analyzes the limitations of current measures to combat bank fraud and proposes an integrated approach combining advanced detection, human support, internal organization, and social responsibility. The goal is to enhance customer security while balancing operational performance, regulatory compliance, and the quality of the banking relationship.Contents
The Erosion of Consent and Legal Risk
Understanding vulnerability in the banking sector requires a rigorous legal framework. A customer’s vulnerability is not merely a sociodemographic characteristic; it is a factor that, in certain cases, directly limits the validity of consent (protected adults, minors).
From a contractual standpoint, consent tainted by vulnerability undermines the very validity of the contracts entered into. Banking professionals are thus exposed to risks related to their reputation, failure to provide adequate advice, and questions regarding their obligation to protect clients. It is also crucial to note that there are situations of temporary or contextual vulnerability that do not have an immediate impact on legal capacity (the “gray area”) and require heightened vigilance on the part of the financial institution.
Faced with this regulatory complexity and the cost of providing support, a major trend is emerging in the market: pure-play banking firms and neobanks are tending to turn away from this protected customer base. This market asymmetry automatically shifts the responsibility for and management of this risk to traditional and mutual banks, which must therefore adapt their operational models and anticipate their customers’ potential inability to meet their financial obligations.
Digitalization, Fraud, and Vulnerability: The Convergence of Struggles
The PSD2 Directive has made transactions more secure through strong customer authentication (SCA), but it has also shifted the risk. Fraudsters have moved away from exploiting technical vulnerabilities to target human vulnerabilities through social engineering (fake advisor scams, targeted phishing). Fraud is now a direct consequence of the digitization of consumer behaviors and is on the rise.
In this context, vulnerable customers represent the common ground where the fight against external fraud and the need to protect customers intersect. Fraud detection algorithms must now incorporate the “KYV” (Know Your Vulnerability) dimension in addition to the traditional KYC (Know Your Customer) approach. An unusual transaction will not trigger the same response depending on whether or not the customer is vulnerable.
Banks must take a proactive approach to turn a constraint into a competitive advantage
For large banking networks, vulnerability management should not be something they simply have to endure. We believe that structural solutions are possible, but they require setting clear priorities andadopting multiple approaches.
The goal is to shift from a defensive mindset to a proactive approach, enabling the institution to position itself as a leading player in its market. This strategic approach is built on three pillars:
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Artificial Intelligence for Behavioral Detection:
Machine learning models must be trained to identify subtle signs of social engineering (abnormally long login times, hesitation while typing, erratic navigation, etc.) in conjunction with vulnerability profiles. -
Implementing “Positive Friction”:
The dogma of a seamless user experience (UX) at all costs must be qualified in light of vulnerability concerns. For sensitive transactions involving vulnerable customers, introducing positive friction—such as a waiting period before adding a payee, double verification, or an outbound call from an advisor—is a necessary safeguard. - Synergy between tools and people: technology is no substitute for sound judgment. Branch advisors and back-office teams must be trained to detect psychological manipulation and have access to rapid reporting tools (such as escalation to anti-fraud units or vulnerability liaisons).
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Frequently Asked Questions
Why are vulnerable customers more at risk of bank fraud?
Vulnerable customers—the elderly, those in financially precarious situations, or users who are less comfortable with digital tools—are prime targets for fraudsters. Fraudsters primarily exploit trust, emotional urgency, or a lack of understanding of banking processes. So-called “fake bank advisor” scams illustrate this trend: the attack relies more on psychological manipulation than on a technical vulnerability. Prevention therefore requires a combination of financial education, behavioral alerts, and enhanced human support.
How can banks better prevent bank fraud?
An effective strategy rests on three complementary pillars:
- behavioral analysis that enables the detection of atypical transactions in real time;
- the internal structure involving advisors, fraud teams, and customer service teams;
- proactively raising customer awareness about new types of scams.
The top-performing banks are now adopting a continuous, proactive approach rather than a reactive, post-fraud one, integrating the protection of vulnerable groups into their overall operational model.
Is protection against bank fraud compatible with banks' economic performance?
Yes, because fraud prevention is also a driver of sustainable performance. Reducing fraud limits direct financial losses, lowers dispute resolution costs, and strengthens customer trust. In the long term, protecting vulnerable customers becomes a competitive differentiator, improving customer satisfaction, loyalty, and the image of banks as socially responsible institutions.
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