The risks of AI in financial services: How mortgage brokers could be compromising customer privacy

Ifthikar Mohamed, co-founder of MortgagX and Wis Mortgages, explores the risks of AI in financial services and looks at how mortgage brokers could be compromising customer privacy by using AI.

Related topics:  Blogs,  Mortgages,  AI
Ifthikar Mohamed | MortgagX and Wis Mortgages
31st March 2025
Ifthikar Mohamed

Artificial Intelligence (AI) has been quickly adopted by countless industries to help automate tasks and improve processes like decision-making. Platforms such as ChatGPT have made tremendous inroads across all industries, including financial services, offering a fast, versatile tool that has many applications. For mortgage brokers, AI can help with everything from automating mortgage applications to supporting compliance. However, all of this innovation has inherent risks attached to it, which could be compromising customer privacy. So, in this article, we’ll talk about the risks of AI in financial services and why brokers should be very careful when using these tools.

Standard AI offers improved efficiency at a high price

The appeal of AI for mortgage brokers is quite simple; it allows them to streamline complex processes and analyse vast amounts of data quickly. These tools can assess credit files, analyse bank statements, and automate the writing of important documents that discuss the suitability of financial products for clients. While these applications can significantly improve efficiency and accuracy, they come with a cost - substantial privacy concerns.

The use of AI to handle sensitive financial information like bank statements and credit reports requires meticulous attention to data security and privacy laws, such as the General Data Protection Regulation (GDPR). These regulations mandate strict controls over personal data handling so that individuals' rights to privacy are protected. However, not all AI solutions in use today might fully comply with these stringent requirements, leading to potential unauthorized access and misuse of personal data.

Privacy concerns and potential GDPR violations

The main risk of employing generic AI platforms in mortgage brokering is the possibility of exposing sensitive client information to privacy breaches. These AI systems, by their nature, require access to large datasets to learn and make predictions. This data often includes personally identifiable information, which is highly sensitive. If these AI tools are not properly designed or managed, there could be unauthorised disclosures of personal details, inadvertently leading to privacy violations.

Beyond this, the GDPR and similar privacy laws enforce principles of data minimisation and purpose limitation, which require that only necessary data is collected, and solely for explicit and legitimate purposes. The automated and expansive data-processing capabilities of AI could potentially contravene these principles if not carefully controlled. For example, the generation of suitability letters by AI, which includes detailed personal financial analysis, must be handled with strong safeguards to ensure that no excessive data is processed and that all processing activities are lawful and transparent.

Balancing the scales to leverage AI correctly

Despite these risks, the benefits of AI in financial services are undeniable. AI can process applications with greater accuracy and less bias than human analysts, provided it is trained on diverse, non-prejudicial data. AI can also identify patterns and insights in large datasets faster than any human, leading to more informed and strategic decision-making in mortgage brokering.

These advantages contribute to more competitive, efficient, and responsive financial services. However, to safely harness these benefits, mortgage brokers need to use an AI platform that they can trust.

Mitigating risks through specialised platforms

The best way to use AI safely as a mortgage broker is by using specialised platforms that cater specifically to the needs of financial service providers like mortgage brokers. These platforms can offer AI solutions that are powerful and also compliant with the most stringent data protection regulations. By centralising AI operations on secure, compliant platforms, brokers can ensure that all AI-driven processes adhere to legal standards and best practices for data security.

These platforms typically incorporate advanced security measures such as encryption, access controls, and regular audits to ensure compliance and safeguard client data. They also manage AI applications to ensure that the data processing aligns with regulatory requirements, protecting both the brokers and their clients from potential legal and reputational damages.

Mortgage brokers can harness AI by using the right platform

While AI presents a fantastic array of tools that can enhance the efficiency and effectiveness of financial services, it must be balanced with a strong commitment to customer privacy and data protection. Mortgage brokers must be vigilant in their deployment of AI technologies, ensuring they do not compromise their clients' sensitive information. Specialised platforms that provide secure, compliant AI solutions represent a vital solution in this regard, enabling brokers to leverage the advantages of AI while upholding their ethical and legal responsibilities. By prioritising privacy and compliance, the financial services industry can maintain client trust and ensure that technological advancements enhance, rather than undermine, the fundamental values of security and confidentiality.

More like this
CLOSE
Subscribe
to our newsletter

Join a community of over 30,000 intermediaries and keep up-to-date with industry news and upcoming events via our newsletter.