Some surprising news emerged in mid-December. A Freedom of Information request sent to the Financial Conduct Authority (FCA) revealed that the number of c

Cybersecurity attacks reported to the regulator by large financial institutions fell 53% from the previous year. Reported data breaches also fell, by 29%. While welcome news, there are some big caveats.

The fall in reports could signify attacks are getting more sophisticated and harder to spot. The reporting periods also didn’t quite align, meaning two-and-a-half months of possible regulatory reports weren’t included in 2024’s figures. In fact, we’re seeing attacks and breaches at financial services industry (FSI) firms surging. In line with these organisations ramping up investment in digital transformation and IT modernisation projects.

Threat actors are grasping the opportunity with both hands. To keep them at bay, IT and cybersecurity leaders in the sector may need to rethink their approach to cyber risk management.

Cybersecurity controls are urgently required

Digital transformation is on an inexorable path. Driven by customer demand for seamless cross-channel experiences, and the quest for more streamlined business processes and productivity gains. Cloud adoption, mobile and app-centric services, remote workforces, and expansive supply chains are the result. However, this rapid change comes at a price. Research warns that half (49%) of global FSI leaders believe their attack surface is spiralling out of control.

Put simply, the ‘attack surface’ is the total expanse of all the IT and OT systems in a business that could theoretically be hacked. It includes everything from on-premises desktops and servers to cloud containers and even employees. Vulnerabilities and misconfigurations across these systems and services are inevitable. And the more assets there are, the more chance there is that a determined threat actor will find a weakness. This allows them to compromise the corporate network or a critical cloud account.

Heeding the warning

The likelihood of them doing so is increasing all the time. Not just because the typical FSI attack surface is increasing, but also because cybercriminals and nation-state operatives are getting better at using AI to their advantage. The National Cyber Security Centre (NCSC) warned back in January 2024 that AI “will almost certainly increase the volume and heighten the impact of cyber-attacks over the next two years”. It’s right. Generative AI in particular lowers the bar for budding threat actors by enabling them to create highly effective social engineering campaigns. And perform reconnaissance at scale to find weaknesses in organisations’ attack surfaces. In some cases, these weaknesses may exist in AI tools brought in by workers themselves. One report claims over a third of firms are struggling with shadow AI.

Our adversaries are also aided by the sheer complexity and interconnectivity of modern digital environments. APIs, microservices and third-party integrations -including frequently buggy or downright malicious open source components – expand the attack surface yet further.

Why it’s time for change

Managing risk across these environments should be a priority for obvious financial and reputational reasons. Open Banking rules and the growth of FinTech have made it easier for dissatisfied customers to jump ship. Furthermore, providing more options for those looking for a new provider. A serious breach could be the catalyst for a mass exodus. It’s also expensive in other ways. FSI is the second-top sector overall in terms of the average cost of a data breach. This is estimated to be over $6m per incident, assuming no more than 113,000 records are compromised.

However, there’s increasingly a regulatory imperative for FSI firms to rethink their Cybersecurity strategy. Any operating in the EU now has to comply with a rigorous new set of requirements in the EU Digital Operational Resilience Act (DORA). From January 1, 2025, those in the UK deemed to be critical third parties (CTPs) will be required to put in place a number of “technology and cyber risk management and operational resilience measures”.

A new mindset

So what does this mean in practice? Modern technology environments are dynamic, with new assets appearing and disappearing. Furthermore, new vulnerabilities are emerging and fresh misconfigurations surfacing on a daily or even hourly basis. Managing risk across this vast, incredibly volatile and highly distributed environment requires a new approach. Traditional perimeter defences are no longer sufficient.

Instead, FSI firms need continuous monitoring of risk across their entire attack surface. From endpoints and networks to servers and cloud workloads. Ideally, such a platform will flag areas of concern and either suggest improvements or automatically remediate. It could be something as simple as changing an insecure password, or patching a critical vulnerability newly published by a key vendor. This is the way to build resilience for the long term.

But there’s more. Some threats will always sneak through corporate defences. That’s why it’s also vital to expand security operations capabilities with AI-driven analytics and cross-layer detection and response (XDR). The goal is to correlate threat data across multiple layers and automatically prioritise alerts for stretched analyst teams. Robust incident response processes are also key here, to ensure no time is wasted in containing the threat and minimising any damage caused.

More broadly, it’s about fostering a culture of cyber resilience. Continuous improvement, proactive defence, and a willingness to adapt are ingrained in the corporate mindset. More Cybersecurity regulations are promised by the government in 2025. The clock’s ticking.

The platform will serve as a one-stop shop for anti-money laundering (AML) compliance. It offers a streamlined approach to managing compliance risk and unified case management via a central hub for all related activities. FinScan Marketplace positions itself as a trusted partner for organisations navigating today’s complex, global regulatory landscape.

Removing the complexity of AML compliance

“Our goal with FinScan Marketplace is to remove the complexity of AML compliance. We bring everything organisations need into one unified platform,” said Deborah Overdeput, Chief Marketing Officer at Innovative Systems. “This launch reflects our commitment to delivering solutions that simplify processes. We empower compliance teams to work smarter, and ensure organisations remain vigilant. And fully aligned with evolving regulatory requirements in a rapidly changing landscape.”

FinScan Marketplace revolutionises how organisations manage their AML portfolio. It provides a single, easy-to-navigate interface. Customers can seamlessly access a comprehensive suite of tools. These include sanctions screening, KYC checks, adverse media screening, payment screening, and risk scoring, with additional features continually in development.

FinScan Marketplace

At the heart of FinScan Marketplace is its unified case management system. This integrates all critical AML processes into a cohesive workflow. From performing due diligence checks to monitoring transactions and investigating potential risks, customers can manage everything within a single platform. This integration saves time, reduces errors, and ensures compliance efforts remain seamless and effective.

FinScan Marketplace provides customers with a clear vision of the platform’s evolution. Its intuitive interface lets users view in-progress product developments, register interest in upcoming features. Furthermore, they can participate in design feedback sessions. This approach ensures future enhancements align closely with real-world compliance needs.

“We are not just delivering tools; we are creating partnerships with our customers by building solutions that adapt to their challenges,” Overdeput added. “Transparency and collaboration are key pillars of the FinScan Marketplace.”

Innovative Systems for AML

FinScan Marketplace reflects Innovative Systems’ dedication to becoming a trusted partner for a host of organisations. These include financial institutions, insurance companies, fintechs, casinos and gaming entities, charities and non-profits, government agencies, and other organisations it serves. By continuously delivering value, anticipating industry needs, and prioritising customers’ feedback in its development process, the company demonstrates its commitment to supporting effective and reliable AML compliance.

Innovative Systems delivers enterprise data, compliance, and integration solutions through the company’s leading FinScan®, Enlighten®, and PostLocate® brands. These solutions offer actionable insights and enable organizations to identify the hidden opportunities or risks in their data. We have pioneered best-in-class data quality, data management, and risk and compliance solutions in thousands of applications across more than 65 countries. Our cloud-based (SaaS), on-premise, and hybrid offerings deliver dramatic, measurable improvements in accuracy, cost, and time to production over alternatives. Learn more at innovativesystems.com

About FinScan

Trusted by hundreds of organisations worldwide, Innovative Systems, Inc.’s FinScan offers advanced Anti-Money Laundering (AML) compliance technology and consulting solutions. Built on decades of experience in data management and proprietary matching technologies, FinScan provides a data-first, risk-based approach to ensure unparalleled accuracy and efficiency in identifying and reducing risk, accelerating AML compliance workflows, and optimising team productivity. FinScan’s comprehensive, integrated platform includes Know Your Customer (KYC), unparalleled sanctions screening, risk scoring, data quality, and advisory services for implementing a holistic compliance program. FinScan offers flexible deployment including SaaS, on-premise, and hybrid options. FinScan’s SaaS clients are screening more than 300 billion names a year. Learn more at finscan.com

The focus on authorised push payment (APP) fraud scams – where scammers impersonate reputable individuals or institutions – has increasingly shifted to whether banks should reimburse customers for funds stolen by scammers. We can gain valuable insights from the approaches taken by financial institutions in the UK. They are leading the way with their cybersecurity efforts compared to their counterparts in other regions.

First, British banks established a standardised reporting system and typology. This is a fundamental first step that every financial institution should take to grasp the full scope of how financial fraud affects banking consumers. Banks may disclose the type of fraud, the amount of money stolen, and the bank measures used to prevent the scam from occurring. This centralised view brings the true scope of the totality of scams into focus.

Three ways the UK’s financial institutions are leading in the fight against fraud

Second, the UK has developed strategies to identify specific scams and reduce their losses. The regulator added a slew of new controls to banks, including confirmation of payee, scam and transaction-specific interventions, and money mule account controls for those receiving the illicit funds. Before regulation, not every financial institution had implemented these controls, providing an uneven playing field and allowing scams to flourish. Banks outside the UK should not wait for regulators to mandate controls like these. They should do it on their own accord to prove they realise the magnitude of the scam problem and the severity of its impact on bank customers.

Improved consumer financial scam controls should be a minimum requirement for financial institutions in 2024. These controls should cover: authorised push payment behavioural analysis, money mule behaviour around both account opening and account activity, and analysis of both inbound and outbound transactions. Furthermore, detecting and then closing money mule accounts – used by fraudsters as an intermediate stop between the victim’s account and the final destination for the stolen funds – is absolutely critical, as they serve as the backbone for every consumer-based financial scam.

The third? Getting involved. Banks need to integrate themselves and participate with industry and trade associations – such as the FS-ISACs and GASA (Global Anti Scam Alliance). These associations provide opportunities to network with peer institutions and others in the fraud value chain to share scam information and learn from each other.

Effective Fraud Prevention: A practical assessment of Key Strategies

Many banks today use precision anomaly detection and behavioural biometrics to notify them when a fraudulent transaction takes place. Financial institutions in the UK often issue actionable alerts to clients in real-time. Santander UK, for example, now asks customers if they have seen the item in person before approving a payment through Facebook Marketplace. For online account opening, there are good solutions for bot-detection to prevent automated bots from opening new accounts, behavioural biometrics to detect suspicious patterns of data entry, and solutions that can analyse the customer KYC data. A secondary benefit of strong account opening controls is the reduction of operational costs to close bogus accounts.

For detecting existing money mule accounts, traditionally it required tracking the circulation of funds, both the inbound and outbound transaction activity and looking for anomalies (e.g. high value in and then immediately transferred out). Now, user behaviour anomalies – such as changes in the user’s input/output device activity or navigation preferences – may indicate a change in account control before the suspicious transactions take place.

Protecting Customers: What the future holds for Financial institutions

Since the UK’s introduction to faster payments, the region has become a centre of research for the rest of the world. However, eliminating threats to UK customers and their money has remained difficult despite an increase in regulation. While Governments and international groups are starting to identify and take down some of these organisations there are still hundreds of thousands of scammers and coerced individuals involved in these intricate schemes. A key challenge for financial institutions is understanding how scammers get their customers to initiate authorised payment. However, these challenges can be combatted by understanding the psychology behind how scammers work which can be a prominent factor in tackling the problem. Financial institutions must ensure that, in a few years’ time, they can confidently answer ‘yes’ to the question: Did we do enough to help eliminate consumer financial scams?

A recent study from UnaFinancial has identified cybersecurity as the most influential factor driving the development of FinTech worldwide, with a 63% significance. The second most impactful factor is the average hourly wage rate, with a 13% significance.

The study showed that FinTech growth in Europe, America, and globally has the strongest correlation with the size of the cybersecurity market, with correlation coefficients of 0.8714, 0.9762, and 0.8607, respectively.

In Asia, however, FinTech growth was more closely tied to the size of the consumer electronics market (0.9403). Meanwhile in Africa, it correlated with consumer spending volumes (0.7427). Therefore, globally, cybersecurity emerges as the most significant driver of FinTech growth. More vital protection facilitates a more robust FinTech environment.

Economic Disparities with Cybersecurity: High Income vs Low Income Economies

Economic status also plays a crucial role in shaping FinTech dynamics. High-income countries display pronounced correlations with various factors. Notably, the size of the cybersecurity market (0.6923), consumer electronics market (0.5839), average wage rates (0.6237), and consumer spending volumes (0.6971) are all significantly linked to FinTech growth.

Conversely, low-income economies exhibit no substantial correlations with these factors, highlighting a disparity in FinTech development influenced by financial resources and technological infrastructure.

Middle-income countries show a more nuanced relationship, with FinTech volumes correlating with nominal GDP (0.5373), the cybersecurity market (0.5727), consumer electronics (0.5637), fintech hubs (0.5409), and consumer spending volumes (0.6136). This suggests that while multiple factors impact middle-income countries, cybersecurity remains a vital component.

Quantifiable Cybersecurity Impact on FinTech

Furthermore, another interesting finding was the measurable impact of various factors on FinTech transactions. For example, for every $1 million increase in the global cybersecurity market, FinTech transactions per adult are expected to rise by $31.6. Similarly, a $1 increase in the average hourly wage could boost FinTech transactions by $67.5. The establishment of just one more FinTech hub could increase global FinTech transactions per capita by $839.

Remarkably, as a country’s income grows, the correlation between FinTech growth and two factors—cybersecurity market size and average wage rates—becomes stronger. This means these factors may indeed influence the development of FinTech across a country.

A deeper non-linear analysis further validated the significance of these factors. It revealed that the cybersecurity market is the most influential driver of FinTech growth, with 63% of significance, followed by the average wage rate (13%). As we advance into an increasingly digital future, the investment in and enhancement of cybersecurity will remain a cornerstone of FinTech innovation and expansion.

UnaFinancial Study

The UnaFinancial study considered data from 2022 for 146 countries, which were grouped into four regions: Asia, Europe, Africa and America. The potential factors under consideration included gender ratio, nominal GDP per capita, Internet penetration, cybersecurity market volumes per capita, consumer electronics market volumes, number of FinTech hubs per 100,000 people, average hourly wages, consumer spending per capita, direct investment as a share of GDP, unemployment rates, trade volume relative to GDP, and share of urban population.

The study not only illuminates the integral role of cybersecurity but also provides a roadmap for understanding how various factors interplay to influence the global FinTech landscape. In this digital age, safeguarding financial transactions and technologies is as critical as ever. Moreover, ensuring that FinTech continues to flourish amidst evolving challenges and opportunities.

With the growing popularity of digital payments, cybercriminals have found a lucrative target. Cybersecurity data breaches rose sharply by 72% in 2023 compared to the previous record-breaking year. This shows the need for financial technology companies to implement strong banking security.

While digital payments offer benefits, businesses must protect themselves and their customers from cyber threats. Understanding the common cyber threats and implementing effective countermeasures are key to long-term success.

The Importance of Cybersecurity for Digital Transactions

With the increasing reliance on online platforms for financial activities, the risk of cyberattacks has grown exponentially. These attacks can lead to significant financial losses, damage to reputation, and erosion of customer trust. From identity theft to data breaches, the consequences of compromised security can be severe.

To prevent such consequences, cybersecurity measures are required for every financial institution. By applying cybersecurity best practices such as encryption, strong authentication, and regular security audits, organisations can protect customer data, prevent fraud, and maintain operational resilience.

Threat Landscape

Cybercriminals employ various tactics to exploit vulnerabilities in digital systems. Phishing attacks, a common method, deceive users into divulging sensitive information through fraudulent emails or websites. Another prevalent threat is ransomware, where cybercriminals encrypt a victim’s data and demand payment for decryption.

Additionally, unauthorised access to accounts through stolen credentials can lead to financial loss. These cyber threats highlight the need for a security framework to protect digital transactions against malicious activities.

Best Practice 1: Encryption

Cybercriminals can easily exploit vulnerable systems, leading to substantial financial losses and reputational damage. A data breach can cost millions of dollars to rectify, including expenses for recovery and ransom payments. A recent IBM report indicates that the average global cost of a data breach exceeds $4.45 million. 

Encryption safeguards sensitive information by transforming it into an unreadable format, accessible only to authorised parties possessing the correct decryption key. This cryptographic process employs complex algorithms and keys to safeguard data integrity and confidentiality.

Best Practice 2: Multi-Factor Authentication

Cybercriminals can easily steal passwords and pins through brute-force attacks, systematically testing numerous combinations until successful. Multi-factor authentication (MFA) offers a robust defence against this threat.

Requiring users to provide multiple forms of identification strengthens account security. This authentication combines different types of verification. This includes information only the user knows, like passwords, items the user possesses, such as security tokens, and unique physical traits, like fingerprints.

By requiring multiple verification steps, banks and financial institutions create a formidable barrier against unauthorised access to sensitive information and funds. Additionally, multi-factor authentication enhances user account management by requiring unique authentication factors for each individual.

Best Practice 3: Employee Training

Organisations with regular cybersecurity training experience a 40% reduction in security incidents compared to those without, according to  This emphasis on employee education is justified as human error remains a primary target for cybercriminals.

Hackers frequently exploit employee vulnerabilities through tactics like phishing, social engineering, and other deceptive methods. By training employees to recognize these threats, financial institutions can mitigate the risk of data breaches and financial losses.

Such incidents can result in substantial financial losses and damage to an institution’s reputation. Consequently, comprehensive cybersecurity training is essential for all bank employees to mitigate these risks.

Best Practice 4: Regular Security Audits

A security audit is an evaluation of an organisation’s digital infrastructure, designed to identify vulnerabilities that could compromise digital transactions. This process involves examining security policies, testing safeguards, and ensuring compliance with industry regulations.

Given the escalating complexity of cyber threats, financial institutions must prioritise regular security audits. Banks can uncover weaknesses before malicious actors exploit them by scrutinising systems and processes.

Regular security audits empower organisations to proactively strengthen defences by implementing essential safeguards such as firewalls, antivirus software, and antimalware solutions. To ensure impartiality and objectivity, it is essential to engage an independent expert to conduct these assessments.

Best Practice 5: Incident Response Planning

As the frequency and sophistication of cyber threats continue to rise, the need for robust defences becomes increasingly critical. Safeguarding digital transactions requires a proactive approach, including a well-defined incident response plan.

An incident response plan is a crucial component of any organisation’s cybersecurity strategy. This formal document outlines strategies for preventing, detecting, and responding to security breaches that could compromise financial data. By establishing clear protocols and assigning specific responsibilities, banks can minimise the impact of cyberattacks and protect both their reputation and customers’ assets.

To be effective, an incident response plan must be established in advance and assigned to specific teams. By following established frameworks, such as those provided by the National Institute of Standards and Technology (NIST) and SANS, organisations can develop comprehensive plans. These resources offer detailed guidance on handling various types of security incidents to ensure a coordinated and efficient response.

Conclusion

Protecting digital transactions requires a multi-faceted approach. Implementing cybersecurity measures is essential for protecting sensitive financial data and maintaining customer trust.

Encryption and multi-factor authentication are foundational elements of a strong security posture. Encryption safeguards data by rendering it unreadable to unauthorised individuals, while multi-factor authentication adds an extra layer of protection by requiring multiple forms of verification. These are just two examples of critical best practices financial institutions should adopt.

Financial institutions must prioritise cybersecurity to maintain customer trust and protect their bottom line. By investing in advanced security measures and staying vigilant against emerging threats, organisations can effectively mitigate risks and ensure the integrity of digital transactions.

Data belonging to 20.4 million UK citizens was affected by cyberattacks made against financial institutions at the end of 2023. This represents a 143% increase from the 8.4 million individuals affected in the previous year. The demand for robust cybersecurity is ever-increasing in financial institutions.

Financial Institutions encompass a wide range of businesses dealing with financial and monetary transactions, including banks, insurance companies, and brokerage firms. These institutions are pivotal for a functioning capitalist society, simplifying transactions, enabling individuals and entities to seek investment or lend money, and assisting in managing assets.

The increasingly digitalised nature of the economy, including the rise of online-only financial institutions like challenger banks, has accelerated the development of financial technologies and their adoption in the market. As a result, Software as a Service (SaaS) for finance, such as digital banking, electronic payment, online investment, and other online-based services, makes financial services more accessible to the consumer. But, with the ease of access technologies provided, new challenges have also emerged, especially regarding cybersecurity.    

Financial institutions are enticing targets for cybercriminals. Therefore, cybersecurity has become integral to banking security in protecting data from malicious attacks. 

Here are seven top cybersecurity solutions to secure data from online threats.

1. AI-Powered Threat Detection

The ability for AI models to perform pattern recognition on large amounts of unstructured data is opening up an exciting new frontier in threat detection for cybersecurity teams. AI tools can potentially flag subtle differences, anomalies, and patterns that could point to a zero-day threat or the presence of a bad actor in the system. 

Some industry experts believe that AI-powered threat detection will be pivotal in helping cybersecurity teams respond to rapidly evolving cyberattack strategies that are increasingly difficult to combat — somewhat ironically, this uptick in the frequency and sophistication of attacks is at least partially due to the availability of AI tools, which hackers are also putting to use. 

AI’s adaptive learning and advanced recognition capabilities enable automated responses to threats and can predict future risks by analysing past patterns. This helps reduce false positives and saves security teams time on assessments.

2. Multi-Factor Authentication

Multi-factor authentication has quickly become the standard in security and identity protection as more and more people bank, shop, and administer their lives entirely online. Put simple, it’s a multistep account login in which more information besides username and password must be provided. 

Typically referred to as “something you have, something you know”, multi-factor login procedures drastically reduce account hacking, allowing security teams to detect suspicious activity that occurs in the logging processes. 

3. DDoS Mitigation

Distributed Denial of Service (DDoS) is a coordinated cyberattack that overwhelmingly sends a request to the server simultaneously, which makes the server slow down or even go offline. DDoS mitigation is important for banking service security to prevent the interruption of vital services. 

Cynersecurity teams can perform DDoS mitigation by implementing a load balancer, restricting requests from certain places, and blocking communication from outdated or unused ports, protocols, and applications.

4. Compliance

Compliance is vital to both ensure the security of systems and organisations against cyber attack, but also to prevent legal penalties and repercussions if an organisation is found to be in breach of existing regulations. These regulations ensure that an organisation’s cybersecurity set up is in line with the security and data protection laws in the countries where it operates, with the end goal of mitigating risk to the consumer — or just people in general whose data is collected and kept by the company. 

There can be serious legal and financial risks associated with non-compliance — tied to both finance and cybersecurity. For example, in 2021, Natwest was fined over £264 million by the FCA for its extended failure to identify and prevent money laundering. Since the FCA was established, there has not been a year when its total fines issued have been less than £1 million. In the UK, other financial and cybersecurity compliance regulations are DPA 2018, UK GDPR, NIS regulations, and the Computer Misuse Act 1990.

5. Database Activity Monitoring

Database Activity Monitoring refers to any set of tools that monitors and analyses database activity. The goal of this monitoring is to flag and report deceptive, illegal, or undesired behaviour taking place within a system. Ideally, these tools run and operate without any serious impact on user experience.

Because most databases don’t monitor or flag suspicious activity by default, unless you have a tool that handles activity monitoring, making third party solutions a necessity in many cases. According to monitoring software solutions vendor Cyral, most systems also don’t collect enough data to enable “a full forensic investigation of historical breach events.” Also, databases that do often log and store this information inside the database itself. Any attacker that gains access to the database can then, supposedly, have write access to the full collection of tables (as is often the case), meaning they can easily delete any activity rows associated with their presence and theft of data.

6. SQL Injection Prevention

SQL injection is a code injection technique attackers use to steal, spoof, and manipulate data. An effective SQL injection attack can result in attackers gaining unapproved access to sensitive data like including credit card information, PINs, or other private information. In banking security, a failure to prevent SQL injection can result in attackers altering balances, voiding transactions, and even transferring money to their bank accounts. 

Cyberattackers inject malicious SQL code into the backend of a target system when they discover defenceless user inputs in a web application or web page. The hackers can then use this opening to locate the IDs of other users within the database, impersonating these users — usually those with data privileges such as the database administrator — to run malicious code within the system. 

7. Regular Risk Assessment and Training

Perhaps most importantly, the best defence against the rising tide of cybercrime is a cybersecurity conscious culture. Financial institutions should conduct regular risk assessments manually to identify potential vulnerabilities and threats to their systems and networks. 

They should regularly evaluate and revise systems and networks based on analytics and assessments to prioritise cybersecurity initiatives and protect vital assets. Security teams shouls also conduct periodic security awareness training, which can strengthen cyber-readiness among finance personnel. This is particularly important given the rise in generated AI-driven phishing campaigns and other technologically democratised forms of cyber crime.  

Case Study – Cybercriminals in UK Businesses

An investment article from IFA magazine reported 300,000 cybersecurity breaches in finance institutions across the UK in 2022 alone, making them the second-highest number of data breaches from all industries after the IT sector. Reports estimate losses in the region of £27 billion per year, with small businesses in the UK affected the most by cyberattacks, usually phishing. 

The UK authority encourages its citizens to be more aware of the possibility of cyberattacks, especially phishing and fake charity emails, as online threats are growing exponentially. Ledi Sallilari from the SEO consulting firm Reboot also suggested that more complex passwords can help prevent account breaches. 

The rapid expansion of internet usage brings new challenges for cybersecurity. Proper knowledge and awareness about cyber criminals should become mandatory for all Internet users to protect their online data.

Financial institutions, responsible for managing customer funds, need to implement strong cybersecurity measures. With more secure backend systems, they can protect assets and maintain customer trust in an increasingly digital world.

The financial sector faces a growing threat—cybercrime.

Cybersecurity Ventures predicts a significant rise in cybercrime costs, with the total impact of hacks, breaches, and data theft potentially reaching as high as $10.5 trillion a year by 2025. As attacks become more common and more severe, mitigating these risks and preventing fraud is paramount for financial institutions and financial technology companies alike.

Luckily, ongoing advancements in technology offer fintech organisations a powerful arsenal of weapons to combat cybercrimes. Adaptive fraud prevention systems use artificial intelligence (AI) to detect and prevent fraudulent activity in real-time. These intelligent systems continuously learn from new data, allowing them to identify evolving patterns and improve cybersecurity.

Introduction to cyber fraud protection

Cybersecurity is crucial in the financial services industry, where sensitive financial data and transactions are a prime target for cybercriminals. Moreover, cyber attacks can inflict significant financial losses, not just through direct theft but also via hefty regulatory fines, legal costs, and reputational damage.

Financial institutions have a responsibility to safeguard customer trust by implementing robust cyber fraud protection measures. This includes advanced technologies like network security, intrusion detection systems, and malware protection.

By securing financial transactions and customer data, these measures not only deter cyberattacks but also mitigate their impact, fostering customer confidence in the bank’s security posture.

Common types of Cyber fraud

The financial sector occupies a bull’s-eye for cybercriminals, ranking second only to healthcare in global cybercrime costs according to the IBM Cost of a Data Breach Report 2023. Financial institutions face an average loss of $5.9 million per cyber incident, highlighting the critical need for robust cyber fraud protection measures.

These attacks come in various forms. One of the most common isphishing scams. These are attempts to trick people into surrendering sensitive information. Meanwhile, ransomware attacks aim to disrupt operations or extort money by encrypting critical data. Distributed Denial-of-Service (DDoS) attacks overwhelm systems with traffic, making essential services unavailable to legitimate customers.

Advanced cybersecurity technologies

The fight against cyber fraud necessitates sophisticated tools, and advanced technologies like AI and machine learning (ML) are playing an increasingly crucial role.

AI fraud detection uses ML algorithms to identify fraudulent activities within vast datasets. These algorithms are trained to recognise patterns and anomalies that deviate from typical user behaviour and transaction patterns. Once the patterns are identified, attackers can be purged from the system before they have a chance to steal anything of value. Cybersecurity systems powered by ML can drastically reduce the amount of time bad actors spend inside a system.

ML algorithms excel at identifying patterns and trends that might signal potential fraud. Also, by analysing big data, these algorithms can adapt quickly to evolving fraud tactics.

They can detect and alert security teams within seconds of suspicious behaviour, such as unusual purchases or login attempts from unfamiliar locations. Thanks to continuous data analysis, businesses can gain an immediate advantage, allowing them to swiftly identify and respond to suspicious activity, ultimately minimising potential losses.

Case studies

The financial sector is actively exploring the potential of AI to combat cyber fraud. Mastercard’s Decision Intelligence technology exemplifies this trend. By analysing historical spending habits, this AI solution creates a personalised baseline for each cardholder’s behaviour.

This approach is a significant improvement over traditional, one-size-fits-all methods, which often lead to false declines. AI’s contextual analysis of transactions allows it to bypass common triggers for false positives, ultimately enhancing fraud detection accuracy.

Future prospects

The future of cyber fraud protection hinges on the continued evolution of technology. One promising area lies in adaptive technologies, such as behavioural biometrics. Additionally, these systems move beyond static passwords or fingerprints, creating a unique user profile based on a person’s interaction patterns.

These patterns are ‘behavioural fingerprints’ that include typing style, mouse movements, and even how an individual holds their phone. Over time, the system learns user habits, building a digital identity that can detect deviations indicative of unauthorised access.

This approach is particularly effective because it’s nearly impossible for hackers to replicate one’s unique behavioural traits, even if they steal the password. This adds a crucial layer of security that traditional methods cannot provide.

The digital banking industry faces cybersecurity challenges. A Statista report shows a 10 percent jump in global malware attacks in 2023, reaching 6.06 billion incidents.

Cybercriminals are growing more skilled, leading to more frequent data breaches that expose vulnerabilities in banking security. Moreover, effective risk management and strong network protocols are essential to securing digital banking operations.

Introduction to Cybersecurity in digital banking

As online transactions become the norm, strong cybersecurity measures become more crucial. Banks keep sensitive financial data and handle high-value transactions, making them prime cyberattack targets.

Effective cybersecurity is a multi-layered approach. Also, it combines advanced technology, strict policies, and constant monitoring to fight cyber threats. These security measures shield not only a bank’s finances but also customer personal information.

For that reason, cybersecurity is the foundation of trust and reliability in finance. Without strong security protocols, the balance between innovation and managing risk is disrupted, potentially shaking customer confidence in digital banking.

Early Cybersecurity practices

The rise of the internet gave birth to a new genre of malicious activity. Cybercriminals emerged to target this new frontier. They launched worms, malware, and phishing attacks.

In response to these escalating threats, the 1990s saw the introduction of firewalls and antivirus software. Additionally, these early security measures acted as barriers between networks to protect systems from unauthorised access.

Cybercriminals constantly develop new viruses and threats. Likewise, antivirus companies continuously create new software patches and signature updates to stay ahead. Despite that, the possibility of new threats slipping through these defences remains a challenge.

Technological advancements

Fraud is a major challenge for financial institutions. Artificial intelligence (AI) has emerged as a powerful weapon in the fight against this threat.

This technology excels at detecting various types of fraud. AI algorithms can detect suspicious activity in real time, helping prevent fraud before it happens.

AI solutions go beyond simple detection. By creating detailed profiles of each customer and tracking their activities, AI can predict potential risks and prevent fraud proactively.

Current Best Practices

A strong foundation is critical to banking security. This includes constantly checking for weaknesses through risk assessments. Digital banks must update their security protocols regularly to keep pace with changing risks. Collaborations with other financial institutions and government agencies help banks stay informed about the latest threats and how to respond.

Data classification is also essential. Banks need strict controls on who can access sensitive information. Employee security training must be regular to make them aware of threats.

Case Studies

The digital bank Starling Bank partnered with cybersecurity firm HackerOne in 2019. This partnership created a streamlined system for anyone to report weaknesses found in its apps and website.

The initiative initially focused on specific areas and common vulnerabilities. This collaboration revealed valuable insights into weaknesses often missed during standard testing. The project’s findings allowed Starling to develop automated detection tools that proactively prevent security issues.

Future Trends

A report by Statista predicts the global cybersecurity market will hit $271.90 billion in 2029, highlighting the growing need for strong defences in digital banking. While still new, quantum computing presents a future hurdle. Its ability to crack current encryption methods means new, quantum-resistant cryptography needs to be developed for banking security.

However, machine learning and AI are expected to be adopted more widely in cybersecurity. Beyond just reacting to threats, financial institutions will also increasingly focus on proactive threat hunting. This means identifying and stopping potential vulnerabilities before they can be exploited.

The FinTech sector has changed how we manage our money. From mobile banking apps to robo-advisors, FinTech offers a new level of convenience and efficiency. But with this convenience come challenges and cybersecurity responsibilities: safeguarding the vast amount of sensitive financial data entrusted to these platforms.

Cybersecurity is no longer an afterthought for FinTech companies; it’s an essential foundation for their success. Breaches exposing financial information can have devastating consequences, not just for the companies involved but for their users as well.

Understanding these cyber threats is crucial for FinTech companies aiming to safeguard their operations and customer data. Here are the top 10 cybersecurity risks FinTech firms must be aware of in 2024.

1. Phishing Attacks

Phishing attacks trick people into divulging personal information. Cybercriminals often pose as legitimate companies through emails, texts, or phone calls. They llure victims into clicking malicious links or revealing passwords.

Phishing attacks significantly threaten financial companies because they target the human element rather than technological weaknesses. Hackers impersonate trusted sources like banks or colleagues to trick employees into revealing sensitive information or clicking malicious links. It can lead to data breaches, financial losses, and account takeovers.

2. Ransomware

Ransomware attacks involve cybercriminals holding sensitive data hostage and demanding a ransom from the victim. FinTech companies are particularly vulnerable to ransomware attacks because they rely on digital systems and customer financial data.

These attacks can impair operations, damage reputations, and lead to significant financial losses. They can be devastating, as there is no guarantee that paying the ransom will result in the safe return of the data.

3. Insider Cybersecurity Threats

FinTech companies may face a unique cybersecurity threat from their employees, known as insider threats. These insiders can be malicious, accidentally negligent, or even tricked into compromising sensitive data. Malicious insiders might steal financial information or sabotage systems for personal gain. Negligent insiders could leave data exposed or fall victim to phishing scams, unintentionally giving away access.

4. DDoS Attacks

Distributed Denial of Service (DDoS) attacks overwhelm online systems with traffic, making them inaccessible to legitimate users. FinTech firms are attractive targets for these attacks because they offer multiple entry points (banking systems, online accounts) and prioritise constant service availability.

DDoS attacks can severely hurt a FinTech company’s reputation and finances by causing downtime, raising security concerns among customers, and potentially leading to data breaches during the distraction.

5. Malware

FinTech companies are prime targets for malware attacks, accounting for 19 percent of all attacks and suffering nearly US$18.3 billion in losses in 2017. While the number of traditional banking malware strains is decreasing, it doesn’t represent a decline in overall threat. Instead, attackers are developing more sophisticated malware that uses techniques like obfuscation and slow, staged attacks to bypass antivirus detection.

6. Data Breaches

FinTech companies are under fire due to data breaches exposing sensitive financial information. Hackers exploit security flaws to steal user data, leading to financial losses, identity theft, and damaged trust. To combat this, strong encryption methods like end-to-end encryption and tokenisation can scramble data, making it useless to attackers.

7. Mobile Security Risks

Despite offering convenient access to financial services, mobile apps are a double-edged sword for FinTech companies. These apps are vulnerable due to their popularity, making strong security practices essential. Regular security updates, secure coding from the start, and robust data encryption during transmission are crucial to patching weaknesses.

8. Third-Party Cybersecurity Risks

The reliance on third-party vendors for services and integrations creates a security blind spot for FinTech firms. To address this, thorough vetting through due diligence and vendor risk assessments is crucial before forming partnerships.

9. API Vulnerabilities

FinTech companies rely heavily on Application Programming Interfaces (APIs) to enhance customer interfaces and share information across systems. While APIs are essential for data exchange, they also open doors for cyberattacks.

To fortify their defences, FinTech companies need to focus on secure API design with solid authentication methods (like OAuth or API keys), constant monitoring, and regular security assessments to identify and fix weaknesses before they become exploited.

10. Artificial Intelligence & Machine Learning Risks

The use of artificial intelligence (AI) and machine learning (ML) has increased in FinTech for decision-making processes. While beneficial, these systems also present risks if they make inaccurate decisions based on incorrect data. Rigorous testing and monitoring of AI and ML systems are necessary to minimise these risks.

Steps to mitigate threats

The cybersecurity threats facing FinTech in 2024 are varied and complex. FinTech firms must prioritise cybersecurity to protect customer data and maintain trust. By researching technology usage, training employees on cybersecurity, regularly monitoring suspicious activity, and building advanced security systems, FinTech companies can improve their defences against these evolving threats.

Moreover, data is at the heart of every fintech company, which makes them attractive targets for hackers and malicious actors.

Financial technology has created new opportunities for customers and businesses in the finance industry. Individuals can now borrow, transfer, save, and invest from the convenience of their homes. Also, the growth of the industry is massive, with fintech revenues projected to grow sixfold from $245 billion to $1.5 trillion by 2030.

However, following that growth are security risks associated with it. Accounting services firm BPM predicts that cybersecurity attacks aimed at fintech companies will only continue to grow in 2024 and beyond. Furthermore, these attacks can end in monetary losses, reputational damage, and brand erosion.

To prevent such cases, fintech security leaders globally have implemented cybersecurity measures.

1. Stripe

Founded in 2010 by Patrick and John Collison, Stripe specialises in payment processing software and application programming interfaces (APIs).

Based in South San Francisco, California, the company offers top-tier encryption and secure transmission protocols. The protocols, which adhere to the PCI DSS standards, are in place to ensure the security of credit and debit card data.

Launched in 2018, Stripe’s innovative tool Radar detects and blocks fraudulent transactions. After its 2.0 update in 2018, the company claimed it helped reduce fraud rates by an additional 25% for its users.

With other services like Stripe Terminal, Stripe Tax, and Stripe Capital, Stripe has become a trusted name in online payment processing. It powers payments for major companies like Amazon, Google, and Shopify, all of which demand high-security standards.

2. Square

Owned by Block, Inc., Square was launched in 2009 by CEO Jack Dorsey and co-founder Jim McKelvey. Square offers an all-in-one financial services platform, including customer booking, e-commerce, payroll, shifts, loan financing, and banking.

In 2021, Square received FDIC approval from the Utah Department of Financial Institutions. Additionally, with end-to-end encryption, regular vulnerability assessments, and secure data storage, Square reached Level 1 PCI DSS certification. This is the highest level for payment processor certification.

3. PayPal

Launched in 2000 from the merger of Confinity and X.com, PayPal is a leader in secure online transactions.

Acquired by eBay in 2002, PayPal became the leading global payment application after eBay discontinued its Billpoint service. It has arguably outpaced competitors like Citibank C2IT, Yahoo! PayDirect, and BidPay from Western Union.

PayPal uses advanced encryption technologies and multi-factor authentication to protect user data. With its continuous monitoring and fraud prevention mechanisms, the company is compliant with industry standards.

According to the company, its fraud detection tools are informed by data from 1 billion monthly transactions. It claims that the tool gets smarter with each transaction.

4. Ant Financial (Alipay)

Ant Financial’s Alipay, is the second-largest international payment processor after Visa.

Founded in 2014 by Jack Ma as an affiliate of Alibaba, Ant Financial offers a range of products. Available services include electronic payment processing, banking, and mobile payments through brands like Yu’ebao, Huabei, and Xianghubou.

Ant Financial combines advanced cybersecurity measures such as AI-driven fraud detection, biometric authentication, and data encryption. Alipay itself also holds the internationally recognized ISO/IEC 27001 cybersecurity certification.

Used by more than 1.2 billion users, Ant Financial is protected by its AI-powered risk engine AlphaRisk. With the tool, Alipay’s fraud loss rate has been kept under 0.64 in 10 million, way lower than the industry average.

5. Plaid

Established in 2013 by Zack Perret and William Hockey, Plaid is an embedded financial platform. It facilitates secure online payments and transactions by connecting users’ bank accounts to finance applications.

Plaid ensures authorised access to bank data through secure bank portals, which eliminates the need for user credentials. In October 2020, Plaid introduced “Plaid-Link,” a service that enables real-time payments for loans, insurance, and wages. It securely connects 12,000 US financial institutions, plus many more in Canada, the UK, and Europe.

6. Chime

Founded in 2012 by Chris Britt and Ryan King, Chime partners with regional banks to offer fee-free mobile banking services. Chime uses encryption, access protocols, continuous monitoring, and proactive fraud prevention to keep its payment processes secure.

In April 2020, Chime launched the fee-free overdraft product “SpotMe.” It successfully processed $375 million in Economic Stimulus Payments one week from the scheduled government disbursement.

7. Adyen

Adyen, listed on Euronext Amsterdam, is a Dutch FinTech company founded in 2006 by Arnout Schuijff and Pieter van der Does. Primarily catering to businesses, Adyen offers e-commerce, mobile, and POS payment solutions. The company successfully achieved 1.3 billion euros in revenue in 2022.

Adyen’s cybersecurity measures include encryption, tokenization, secure data storage, and regular security assessments, all backed by Level 1 PCI DSS certification.

8. Sift

Founded in 2011, Sift is one of the cybersecurity companies providing AI-powered fraud platform. It uses machine learning combined with data network scoring 1 trillion events per year to offer security solutions.

The company notices that online fraud is a growing problem, especially for retailers and financial institutions. Therefore, Sift’s algorithm distilled over hundreds of millions of user actions to create fraud pattern recognition tool.

Sift has received several accolades, including being named a leader in 2023 Forrester Wave for Digital Fraud Management and G2’s Momentum Leader in Spring 2024.

9. Darktrace

Cybersecurity company Darktrace, established in 2013, uses AI to respond to cyber threats in real time. Since its inception, the tools it created has been deployed over 9,000 times.

With its Enterprise Immune System technology, Darktrace is able to handle Industrial Operational Technology, email, SaaS, cloud, network, and endpoint safety. More than 9,400 organisations, including major financial institutions, rely on its advanced solutions.

The company was included in The Cyber Award’s AI Product of the Year in 2020 and Fast Company’s top 10 most innovative AI companies for 2022.

10. Netskope

Cloud-based cybersecurity company Netskope was founded in 2012 to help organisations apply zero trust principles. The company’s solutions protect data across cloud services and apps, which makes it pivotal for fintech institutions relying on such technologies.

The California-based firm helps financial services companies meet compliance requirements such as FINRA, PCI-DSS, GLBA, and GDPR. Not only that, it provides necessary protection, such as SWG, CASB, ZTNA, DLP, Cloud Firewall and SD-WAN.

In 2024, Netskope is recognized as a leader in the Gartner Magic Quadrant for Cloud Access Security Brokers (CASBs).

What makes these a success

These top cybersecurity firms in fintech have set high standards in cybersecurity. Their efforts have significantly contributed to a safer digital landscape for fintech.

They have also demonstrated collaboration with fellow financial or cybersecurity experts. Collaboration means having access to specialised knowledge that may not be available in-house. This includes latest threat intelligence, security tools, and tailored audits.

Additionally, it is imperative that companies adhere to industry standards and regulations. Compliance is the first step in building trust with users and stakeholders alike.

With 64% of financial services institutions falling victim to ransomware attacks last year, finance organisations should follow best practices from these companies.