What Is the Real Cost of Ensuring Data Privacy on Your Fintech Platform? Can You Do It Cheaply?

What Is the Real Cost of Ensuring Data Privacy on Your Fintech Platform? Can You Do It Cheaply?

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What Is the Real Cost of Ensuring Data Privacy on Your Fintech Platform? Can You Do It Cheaply?

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According to British mathematician Clive Humby, data is the new oil in today's digitally-driven world. Nowhere is this more evident than in the financial technology (Fintech) industry, where companies rely on vast amounts of customer data to provide innovative and efficient services. However, with great data comes great responsibility, and ensuring data privacy has become a top concern for Fintech platforms.

high quality data and data errors cost of data breach

According to the IBM Cost of a Data Breach Report 2023, the global average data breach cost is $4.45 million, 15% more than in 2020, which can be particularly crippling for smaller enterprises.

Gartner also predicts that global spending on information security and risk management technology will grow to $188.1 billion in current USD in 2023, with a steady currency-adjusted growth rate of 13.9%.

These statistics underscore the critical importance of robust security measures in protecting sensitive data and mitigating the potentially devastating financial consequences of security breaches.

So, whether you're a fintech startup or an established player in the industry, ensuring robust data privacy measures is not just a compliance checkbox - it's a profound commitment to avoiding financial consequences and maintaining the trust of your customers. But, as the saying goes, "privacy comes at a cost." The question is, what is the real cost of ensuring data privacy on your fintech platform, and can you achieve it without breaking the bank?

This article will explore the multifaceted aspects of data privacy in the fintech sector, highlighting why investing in robust privacy measures is essential. We will also consider whether it is feasible to achieve these measures cost-effectively without compromising the security and trustworthiness of your platform.

What you will learn from this article:

  • How much do I have to pay for data privacy in fintech?
  • The key security measures in FinTech and why they are important
  • What are customer rights and data privacy in Fintech software development?
  • Best practices to ensure data quality
  • What is the actual cost of ensuring data privacy?
  • What are the consequences of non-compliance with data privacy laws?
  • How do Fintech and banking protect their data?

Table of Contents

What Are the Security Measures in Fintech? and Why Are They Important?

Security measures in Fintech are critical for safeguarding sensitive financial information, ensuring trust among users, and complying with regulatory requirements. For example, PayPal, a global fintech giant, has consistently invested in cutting-edge security measures. They employ advanced encryption protocols and have a dedicated team focused on identifying and mitigating security threats.

This results in a fraud rate of between 0.17% and 0.18% of revenue, which is well below the industry average of 1.86%.

Let’s look at some measures Fintech companies and banks adopt to protect their data:

  • Data encryption

Sophisticated algorithms that encode data making it indecipherable to unauthorized users.

  • Multi-factor authentication (MFA)

An electronic authentication method that requires users to provide multiple forms of verification/evidence before granting access to a website or application.

  • Firewalls and intrusion detection systems (IDS)

A sophisticated system that monitors and filters incoming and outgoing network traffic, and raises alerts if any suspicious behavior is detected, blocking potential threats.

Similarly, Intrusion Detection Systems constantly monitor network activities and raise alerts if any suspicious behavior is detected, helping to mitigate threats in real-time.

  • Regular security audits and penetration testing

Continuous evaluation of systems through security audits and penetration testing helps identify vulnerabilities and weaknesses in FinTech and bank platforms. This proactive approach enables organizations to patch potential security gaps before malicious actors can exploit them.

  • Employee training and awareness

Institutions conduct cybersecurity training for employees to ensure they are aware of best practices and potential threats, reducing the risk of insider attacks or accidental data breaches.

  • Data access controls

Role-based access control (RBAC) restricts access to sensitive data based on an individual's job role, ensuring that employees only have access to the information necessary for their responsibilities.

  • Incident response plans

Both fintech and banks have well-defined incident response plans in place to effectively mitigate and respond to security breaches. These plans include steps for containment, investigation, and communication with affected parties.

  • Regulatory compliance

Institutions adhere to industry-specific regulations and standards, such as GDPR, PCI DSS, and HIPAA, depending on their scope of operations. Compliance with these regulations ensures data protection and privacy.

Security measures not only protect data but also build trust with customers. When clients feel their financial information is secure, they are more likely to use FinTech services with confidence. Moreover, the financial industry is heavily regulated, and adherence to security measures is often a legal requirement. Non-compliance can result in severe penalties and reputational damage.

Why Businesses Should Prioritize Fintech Data Privacy and Security

ensuring data quality and ensuring data integrity through prioritizing Fintech data privacy and security

Governments and regulatory bodies have introduced stringent data privacy and security regulations to protect consumers and maintain the stability of financial markets. Failing to comply with these standards can lead to hefty fines and legal actions.

In addition, by prioritizing data privacy and security, businesses can build and maintain trust with their customers, fostering long-term relationships. Fintech innovators who disregard these crucial aspects may find themselves unappealing to potential clients and trading partners.

Furthermore, cybercriminals constantly seek vulnerabilities to exploit, and the consequences of a successful attack can be devastating. Data breaches can expose sensitive financial information, leading to identity theft, financial fraud, and reputational damage.

The Role of Data Governance in the Fintech Sector

Data governance in the fintech industry refers to the set of practices, policies, and procedures that ensure the secure and responsible management of data assets. It encompasses the collection, storage, processing, and sharing of data, with a primary focus on maintaining data integrity and protecting customer information.

The primary purpose of data governance is to maintain consistently high data quality throughout the entire data lifecycle while ensuring that the implemented controls align with the business objectives of the organization.

The fintech sector relies heavily on data, making data governance a critical component for safeguarding customer data and maintaining the integrity of financial systems. As fintech firms expand, they collect a vast amount of data from various sources, including customer transactions, online behavior, and financial market trends. This data fuels their innovative services, such as mobile banking apps, peer-to-peer lending platforms, and robo-advisors.

Customer Rights and Data Privacy in Fintech Software Development

customer rights that serve its intended purpose protecting crucial data

Customer rights and data privacy are critical considerations in fintech software development. Ensuring that users' personal information is handled responsibly and transparently is not only a legal requirement but also a fundamental ethical principle. Let’s look at some key customer rights and examples of how they apply in the context of  fintech software development:

The Right to Know What Personal Information Is Collected

Transparency is key, and customers have the right to be informed about the types of data being gathered.

A fintech app must clearly state in its privacy policy that it collects user names, email addresses, financial transaction history, and device information.

The Right to Access Personal Information

Customers have the right to know how their data is being used, and processed, and who has access to it.

Users should be able to log into their fintech account and view the personal information stored by the platform.

The Right to Know What Personal Information Is Sold and to Whom

Fintech platforms should provide a clear explanation of how user data is used. This transparency ensures that individuals can monitor and control the dissemination of their information.

The Right to Opt-Out of Personal Information Sharing

Fintech companies must provide clear and accessible mechanisms for individuals to decline the sharing or selling of their data without facing adverse consequences.

If a fintech platform shares user data with third-party marketing companies, users have the right to be informed about this practice in the platform's privacy policy.

The Right to Limit the Use of Sensitive Personal Information

Individuals have the right to limit a Fintech business's use of sensitive personal information, ensuring that it is only used for legitimate purposes.

Right to Non-Retaliation

Fintech companies are prohibited from penalizing customers for asserting their privacy rights, thereby fostering a safe environment for data protection.

For example, Fintech companies should not penalize users or limit their access to services if they exercise their data privacy rights, such as opting out of data sharing.

The Right to Delete or Correct Inaccurate Personal Information

Users should be able to request the deletion of their account and associated data or correct any inaccuracies in their personal information, such as updating a mailing address or phone number.

Consequences of Non-Compliance with Data Privacy Laws

Non-compliance with data privacy laws can have significant and far-reaching consequences for individuals and organizations. This includes legal penalties, fines that can amount to millions of dollars or a percentage of the company's annual revenue, reputational damage, loss of business opportunities, and loss of competitive advantage.

Factors That Can Help Estimate the Cost of Security Level in Your Application

Security should be a top priority when developing any application. However, determining the budget required for securing your application can be challenging. It involves a comprehensive assessment of various factors to arrive at an accurate estimate. Let’s explore some of these factors in detail:

Application's Size and Purpose of the Application

The size of your application plays a significant role in determining security costs. Larger applications typically have more complex architectures and a larger attack surface, which may require more extensive security measures. Smaller applications, on the other hand, may have simpler security needs. The purpose of your application is another critical factor. Applications that handle sensitive financial data or personal information demand a higher level of security compared to those designed for less critical purposes. Understanding your application's purpose helps tailor security measures accordingly.

Let's consider the development of a peer-to-peer (P2P) payment FinTech app, similar to Venmo or PayPal, as a specific example. This app allows users to send money to friends and family, split bills, and make small payments easily. Security is a paramount concern due to the sensitive financial transactions involved. The costs associated with security in such an application include advanced encryption, multi-factor authentication, regular security audits, etc.

While security costs may represent a significant investment, they are crucial for building trust with users and ensuring the protection of sensitive financial data in the long term.

The General Cost of Developing a FinTech App

The cost of developing a FinTech app can range from $50,000 to $300,000 or more. However, the exact cost varies significantly due to various factors. Let’s explore some of these factors one after the other:

  • App type and functionality

The type of FinTech app you're envisioning, be it for payments, investment, lending, or insurance, greatly impacts the development cost. Complex functionalities demand more time and resources.

  • Location consideration

The cost of hiring skilled software developers, engineers, and other professionals can vary significantly from one region to another. Locations with a high cost of living, higher hourly rates, and a strong tech talent pool tend to have higher labor costs, which can drive up the overall cost of FinTech app development.

  • Type of development team

When it comes to Fintech app development, you have a wide range of options at your disposal, including in-house teams, outsourced teams, software houses, etc.

However, what's most important is that your chosen team understands your project's goals, is technically capable, and can work effectively with you to bring your fintech app to market successfully.

  • Platform selection

Deciding whether to develop for iOS, Android, or both platforms will affect the cost. Cross-platform development tools can be a cost-effective solution.

  • Regulatory compliance

Depending on your app's focus and location, you may need to comply with various financial regulations, such as Know Your Customer (KYC), Anti-Money Laundering (AML), and Payment Card Industry Data Security Standard (PCI DSS).  Implementing robust security measures, compliance with industry standards, and ensuring data protection can increase development costs significantly.

  • Third-party integrations

If your app relies on third-party services or APIs for features like payment processing, financial data aggregation, or identity verification, you may incur additional costs for integration and usage.

How to Ensure Data Quality? - 10 Best Practices

how to ensure data quality - best business processes in modern organizations

Data is generated by people naturally susceptible to human error, each having unique approaches to handling and formatting data. In addition, each department within an organization inputs data with distinct goals and perspectives of what data is important and acceptable errors. Let's explore some best practices for maintaining data quality to ensure your data remains accurate and reliable.

Use Encryption

Encryption is the process of converting data into a code to prevent unauthorized access. Utilizing robust encryption algorithms is essential for safeguarding data during storage and transmission.

Implement Access Control

Implementing stringent access control measures ensures that only authorized personnel can access sensitive data. Role-based access control (RBAC) and multi-factor authentication (MFA) are crucial components.

Perform Regular Updates and Patch Management

Keeping software, operating systems, and applications up-to-date is crucial. Regularly applying security patches helps in addressing vulnerabilities that hackers could exploit.

Prioritize Data Backup and Recovery

Data should be routinely backed up to secure locations. A well-defined recovery plan ensures data can be restored in the event of data loss or breaches.

Investigate Data Quality Failures

When data quality issues arise, it's crucial to investigate the root causes. Identify why and how data quality failures occurred and implement measures to prevent them from happening again. This proactive approach is essential for maintaining data integrity.

Establish Data Governance Guidelines

Data governance is the foundation of data quality. Create clear guidelines and policies for data management, outlining responsibilities, processes, and standards. A well-defined governance framework ensures consistency and accountability.

Implement a Data Auditing Process

Regular data audits are essential for identifying and rectifying data quality issues. Develop a robust auditing process that reviews data across your organization. This process should be systematic, covering data sources, data transformations, and data storage.

Establish Data Quality Metrics

Define key data quality metrics such as accuracy, completeness, and timeliness. Regularly measure and monitor these metrics to assess data quality.

Consider Assigning a Data Steward

Data stewardship ensures that each department takes ownership of its data. Appoint a data steward in every department who is responsible for data quality within their domain. These stewards act as advocates for data quality and facilitate communication between departments.

Invest in Internal Training

Your employees are at the forefront of data management. Provide comprehensive training programs to equip them with the necessary skills to handle data effectively. Ensure that they understand the importance of data quality and their role in maintaining it.

Enforcement, Sanctions, and the Cost of Data Breach

Sanctions and fines related to data breaches and the failure to ensure data privacy are governed by various regulations and laws, each with its own set of rules and penalties. Here, we will look at an overview of the sanctions and fines associated with some of the required regulations:

GDPR: General Data Protection Regulation

GDPR is a landmark regulation that governs the protection of personal data for individuals within the European Union. It imposes strict requirements on data controllers and processors, emphasizing transparency and accountability.

Fines for GDPR violations can be substantial, with two tiers of penalties:

  • Up to €10 million or 2% of the company's global annual revenue for less severe violations.
  • Up to €20 million or 4% of the company's global annual revenue for more serious violations, including data breaches.

PSD2: Payment Services Directive 2

PSD2 aims to enhance the security of online payments by introducing strong customer authentication and secure communication standards. Organizations handling online payments must adhere to these requirements to prevent fraudulent activities.

Organizations that violate the PSD2 could be subject to fines of up to 4% of annual revenue.

PCI DSS: Payment Card Industry Data Security Standard

PCI DSS sets the standard for securing payment card transactions. Any organization that stores, processes, or transmits credit card data must comply with these regulations to prevent cardholder data breaches.

Fines for non-compliance with PCI DSS can vary from $5,000 to $100,000 per month, depending on the size of the organization and the seriousness of the non-compliance.

AML: Anti-Money Laundering

AML regulations are designed to prevent money laundering and the financing of terrorism. These regulations require financial institutions to conduct due diligence and report suspicious transactions, thereby protecting the integrity of financial data.

Penalties for AML violations can include both civil and criminal penalties, with fines ranging from thousands to millions of dollars. Individuals involved may face imprisonment.

Average cots of data breach - bad data, stray data, and inaccurate data

The average total cost of a data breach reached an all-time high in 2023, amounting to USD 4.45 million. This represents a 2.3% increase from the previous year and a 15.3% rise since 2020.

The United States has consistently topped the charts when it comes to the financial fallout from data breaches. In 2023, the average total cost of a data breach in the U.S. reached a staggering USD 9.48 million, up from 9.44 million U.S. dollars in the previous year. In Canada, the average total cost of a data breach reached USD 5.13 million in 2023, down from 5.64 million U.S. dollars in the previous year.

The Middle East has seen a significant increase in the cost of data breaches, with the average total cost surging to USD 8.07 million in 2023.

Germany, a leading economic powerhouse in Europe, faced an average total cost of data breaches amounting to USD 4.67 million in 2023. German organizations are under pressure to fortify their cybersecurity measures due to the rising sophistication of cyberattacks.

Japan, known for its technological advancements, witnessed an average total cost of data breaches reaching USD 4.52 million in 2023.

What Is the Real Cost of Ensuring Data Privacy? To Build or to Buy?

With the ever-increasing threats to data security, companies are faced with the critical decision of whether to build their own data protection systems or buy third-party solutions. In this section, we will delve into the real cost of ensuring data privacy, exploring various elements to help you make an informed decision.

The Cost of Managing a Service

When it comes to data privacy, the first consideration is the cost of managing a service. Building a custom data privacy solution can be a resource-intensive endeavor. It requires hiring skilled professionals, such as data security experts and software developers, and investing in the development and maintenance of the infrastructure.

On the other hand, buying a data privacy solution can provide cost savings in terms of initial setup. Many third-party solutions offer subscription-based pricing models, allowing businesses to pay for only what they need. However, it's essential to weigh the long-term costs, including subscription fees and potential customization expenses.

Ways of Protecting Sensitive Data

Protecting sensitive data is paramount in today's data-driven world. Both building and buying data privacy solutions offer various ways to safeguard sensitive information.

When building a custom solution, organizations have full control over the features and security measures implemented.

This level of customization can be beneficial in meeting specific data protection requirements.

Conversely, buying a data privacy solution often provides a comprehensive set of features and security protocols right out of the box. However, it may require additional configuration to align with an organization's unique needs. It's crucial to assess the adequacy of pre-built solutions in safeguarding sensitive data.

Strengthening Data Protection

To strengthen data protection, businesses need to stay ahead of evolving threats. Building a custom solution allows organizations to adapt quickly to emerging risks. They can develop and implement security updates and patches as needed to address new vulnerabilities.

Buying a data privacy solution means relying on the vendor to provide updates and patches. While reputable vendors regularly update their software, there may be a lag between identifying a vulnerability and releasing a fix. Businesses must consider this when evaluating the strength of data protection offered by third-party solutions.

Protecting Data Privacy

Protecting data privacy is not only about securing data but also about complying with data protection regulations and standards. Building a custom solution gives organizations full control over compliance efforts. They can tailor their solution to meet the requirements of specific regulations, such as GDPR or HIPAA.

When buying a data privacy solution, businesses must ensure that it aligns with the necessary compliance standards. While many vendors offer compliance features, organizations should conduct due diligence to confirm that the solution meets their regulatory obligations.

Regular Updates

The frequency and reliability of updates are critical in the context of data privacy. Building a custom solution allows for immediate updates as vulnerabilities are discovered. This agility can be a significant advantage in a constantly evolving threat landscape.

Third-party solutions also provide updates, but the timing and effectiveness can vary. Businesses should research the vendor's track record for delivering timely updates to ensure ongoing data protection.

Performance and Usability vs. Security

Balancing performance and usability with security is a common challenge in data privacy. When building a custom solution, organizations have more flexibility to optimize performance and usability. They can fine-tune every aspect of the solution to meet their specific requirements.

Buying a data privacy solution may involve trade-offs between security and user experience. Businesses should carefully evaluate how well a third-party solution aligns with their performance and usability needs while maintaining robust security measures.

How Much Expertise Do You Need To Build A Data Privacy Solution? Is It Worth It?

Building a data privacy solution starts with a deep understanding of data security principles. This includes encryption, access control, and data classification. Expertise in these areas is essential to create a strong foundation for data protection. In addition, developing data privacy software often requires technical expertise in programming languages, databases, and cybersecurity. Skilled developers and engineers are vital for building and maintaining a robust solution.

Is it worth it? It depends on your specific circumstances. If you handle sensitive data or operate in a regulated industry, investing in a data privacy solution is likely essential to comply with legal requirements and protect your reputation. Data breaches can result in severe financial and legal consequences, so the investment in expertise and technology can be justified.

However, for smaller organizations or projects with minimal data handling, the level of expertise required may be less, but it's still crucial to ensure data privacy to maintain trust with customers and users.

3 Key Fintech Data Privacy Changes You Should Know

With predictions suggesting that the fintech space will multiply and reach a staggering $174 billion in value this year, it's evident that this sector is not only thriving but also changing the way we interact with finance. Let’s explore 3 key trends that are reshaping the fintech market and explore the crucial role of AI and automation in driving these innovations.

Embedded Finance

Embedded finance is revolutionizing the concept of banking. It involves integrating financial services into non-financial platforms, allowing users to access banking services seamlessly. From ride-sharing apps offering payment services to e-commerce platforms providing loans, embedded finance is expanding the reach of financial services like never before.

Quantum Computing

Quantum computing is on the horizon, and it has the potential to disrupt fintech significantly. Quantum computers can solve complex financial calculations and encryption algorithms much faster than classical computers. AI and quantum computing are being explored together to optimize portfolio management, enhance security through quantum-resistant encryption, and speed up risk assessment processes.

IoT and Financial Connectivity

The Internet of Things (IoT) is enabling devices to communicate and transact with each other, leading to new opportunities in fintech. Smart devices can facilitate automatic payments, monitor spending patterns, and provide real-time financial insights, making money management more intuitive and proactive.

The Influence of AI and Automation Processes

AI and automation processes are central to these fintech market changes. They enable faster, more accurate decision-making, reduce operational costs, and enhance customer experiences. AI-driven chatbots and virtual assistants provide real-time customer support and financial advice. Automation helps streamline back-office operations, such as compliance checks and document verification, making financial processes more efficient and cost-effective. Additionally, AI-powered fraud detection systems play a crucial role in ensuring the security of digital financial transactions in these evolving fintech ecosystems.


Customers entrust financial institutions with their sensitive information, and it is the moral and legal responsibility of these organizations to protect it. Failure to do so can result in severe consequences, including regulatory fines, reputational damage, and loss of customer trust.

Fintech firms should consider integrating data privacy considerations into their business strategies from the outset, rather than treating them as an afterthought. By prioritizing privacy as a core value and investing in robust security measures, companies can mitigate risks and ensure compliance without incurring exorbitant expenses.

Ensuring data privacy on your Fintech platform is not something that can be done cheaply without considering the consequences. While it's tempting to cut corners to save money, the long-term costs, including potential legal troubles and reputation damage, far outweigh any short-term savings. Data privacy is an investment in trust, security, and sustainable growth for your Fintech business.

Balancing the need for robust data protection with cost efficiency is a complex task. To answer the question of whether you can ensure data privacy on your fintech platform cheaply, it is crucial to consider both sides of the argument.

Can You Do It Cheaply?

Yes, it's possible to implement data privacy measures on a budget to reduce initial expenditures. However, it comes with consequences, including security risk, non-compliance, and loss of customers. Cheap solutions may leave vulnerabilities, inviting cyber threats. Besides, cutting costs may lead to non-compliance with regulations, resulting in hefty fines. Lastly, data breaches can drive away customers, costing more in the long run.

No, choosing the cheapest option is not worth it for the following reasons:

Reputation Damage: Trust once lost can be hard to regain, affecting your bottom line.

Legal Troubles: Non-compliance fines can be financially crippling.

Limited Growth: Lack of data security can hinder expansion and partnerships.

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