Fintech security has become more important than ever as traditional data protection strategies continue to be out of reach for most startups.
The fintech sector has brought consumers an endless stream of modern offerings that have enabled them to ditch several outdated banking and lending products from legacy financial institutions.
Companies now have advanced B2B payment solutions at their fingertips, and online financial services have never been more convenient - largely thanks to the progress made by fintech startups.
But, despite being on the cutting edge of digital financial services products, young fintech companies are at a disadvantage in a wildly important arena: data security.
For a truly democratized market, fintech security needs to be cost-efficient while being just as effective as legacy financial institutions’ data protection measures.
With limited resources, growing compliance regulations around the world, and a constantly-evolving list of increasingly dangerous data security challenges, the fintech industry faces a uniquely difficult uphill battle.
And, with data breaches continuing to leer as an ever-present security threat, fintech startups are turning to new and advanced approaches to data privacy.
But, first, what do we mean when we talk about fintech security and data protection??
Defining Fintech Cybersecurity?
When we talk about fintech cybersecurity, we are focusing primarily on data security and database protection.
Data security is the process of protecting digital assets - like information stored in a database - from unauthorized access by unapproved actors.
When we refer to data security, we’re simply talking about the set of standards and technologies that protect your business’ data. These days, data security is a fundamental aspect of IT at any modern organization.
From encryption and tokenization to cloud storage, data security technologies run a wide spectrum - and a number of advances have been made in recent years. This progress has been in response to, though not quite as speedy as, the growing sophistication of large-scale cybersecurity threats - like data breaches.
In the healthcare sector, for example, Black Book Market Research found that 96% of healthcare IT professionals agreed that data security attackers are outpacing their medical enterprises.
Healthcare data breaches will cost the industry $4 billion by the end of the year. Next year, by Black Book’s estimates, will be even worse.
And that’s just the healthcare sector.
Organizations from all industries are vulnerable to data breaches - especially in the age of ID verification, endless online payment methods and 1-click purchasing.
Even multinational tech giants have fallen prey, in extremely public ways. Yahoo just reached a $117.5 million class-action settlement with the victims of its infamous 2016 data breach.
That announcement came on the heels of a $700 million settlement that Equifax reached to deal with the aftermath of a 2017 data leak that exposed the Social Security numbers of almost 150 million consumers.
We could keep going down the list - data breaches happen, and they happen to organizations with ample resources invested in information security measures.
Financial institutions are extremely vulnerable to cyber attacks. In fact, in banking alone, the cost of a data breach or other cyber threat has reached $18.3 million annually per company. And e-commerce companies account for 80% of payment-card investigations. In other words: Fintech firms are in a particularly vulnerable industry.
Enterprise-level financial services companies are able to meet these security challenges with money and manpower. But what about smaller organizations and fintech startups?
The State of Fintech Data Protection and Database Security
Financial services technology companies have revolutionized the way that consumers bank, how startups reach their customers and how businesses all over the world can run more smoothly.
Fintech investments took off in the past five years - providing us with simple alternatives to slow, conventional financial solutions.
Advances in the industry has brought us instant P2P payments, purely-online banking, seamless B2B solutions, innovative lending approaches and products that many businesses and consumers can’t even imagine living without at this point.
But the global fintech ecosystem’s consistent growth, potency and complexity make it inescapable that some solutions won’t be secure enough to guard against sensitive data exposure. It’s likely that these vulnerabilities will keep getting identified by attackers, then exploited.
This is a harsh reality that modern businesses are realizing - and starting to invest against.
We can see this when we look at application security spending. Businesses are pouring money into protecting their applications and the data flowing through them.
According to Market Research Future (MRFR), the worldwide application security market is expected to reach a staggering $9.64 billion by 2023 - up from just $2.56 billion in 2017. That’s an annual growth rate (CAGR) of 24.95%.
Within this market, SMEs are estimated to be the fastest growing investors in application security, when broken down by type of organization.
Still, simply investing in traditional security measures isn’t enough.
Unfortunately, when it comes to data privacy and protecting sensitive financial information, fintech startups face a unique set of challenges that make growing their core business an even more difficult endeavor than it already is.
#Fintech Data Security Challenges For Startups
In the world of securing sensitive data and avoiding data breaches, younger organizations in the fintech space have it especially hard.
But why?
1. Reliance on sensitive user information
These days, fintech and data analytics go hand-in-hand. From robo-advisors to AI-powered saving apps, data-driven technologies have been at the heart of the fintech revolution.
With fintech products deeply intertwined in modern retail banking, asset and wealth management, capital markets and insurance, organizations in this space are inevitably going to have to handle and store sensitive information from your users.
From ID verification to processing credit card payments, large volumes of sensitive data will make its way onto the databases of fintech organizations. The mere possession of such sensitive consumer information puts them both at risk of sensitive data exposure and places them within the scope of any number of data privacy laws.
2. New, updating and evolving data privacy laws
The nature of how fintech startups do business make it so that a lot of sensitive data and financial information hits their systems, which attracts the interest of government regulators - who are increasingly focused on protecting consumer data.
In the last few years, governmental regulatory institutions around the globe have started to take greater steps in protecting the rights of consumers when it comes to their personal information. Often, these new security measures come in the form of complex privacy laws.
From Europe’s General Data Protection Regulation (GDPR), effective since 2018, to the soon-to-be-implemented California Consumer Protection Act (CCPA), businesses are suddenly needing to juggle compliance certifications for new regulatory frameworks.
Not only that, but fintech companies that accept or process credit card transactions have already been saddled with the burden of needing to maintain compliance with PCI DSS - a set of requirements that are aimed at preventing credit card fraud.
3. Limited resources for securing personal data
To successfully prevent data breaches and - simultaneously - meet the complex requirements set forth by legal frameworks like the GDPR, the CCPA and PCI DSS, you’re going to need a team of information security experts and compliance specialists that can create data flow maps, secure your networks and sensitive data storage solutions, ensure that you’re meeting regularly compliance rules… the list goes on.
Conglomerates have the resources to put towards a large-scale data security effort, but fintech startups have much less at their disposal.
4. Increasingly sophisticated cyber threats
As mentioned above, even some of the most widely-recognized tech brands have suffered from data breaches. From increasingly sneaky malware to highly-targeted phishing attacks, which skyrocketed 250% higher last year, there are simply too many ways for threat actors to gain access. And the fintech industry offers cybercriminals plenty of motive. Fintech firms with low capital can’t invest as heavily in vital security measures, but they require sensitive financial information to function.
It just takes one team member on the wrong end of a phishing campaign to trigger a sensitive data exposure event - which can ruin a startup-stage business overnight.
And it’s not just unauthorized malicious actors that fintech startups need to be worried about, as there are threats coming from all angles - even some unexpected ones.
According to Verizon’s Insider Threat Report, 57% of database breaches involved some kind of insider threat from within an organization. Add that to the possibility of accidental sensitive data sharing and ransomware attacks, and covering all your bases becomes a costly and complex endeavor.
Modern Data Security Technologies and Fintech Solutions
Thankfully, advances in the realm of data security have sprung up in recent years, helping relieve much of this pressure faced by fintech startups that need to secure their sensitive data. And being made of small teams with lean organizational structure, fintech companies are uniquely structured to adapt to new innovations in data security more quickly than larger financial institutions.
From tokenization to data encryption, fintech firms have employed a number of tried-and-true data security methods. Even with innovative approaches like these, however, data breaches are still a probable data security challenge.
If sensitive data is stored in your database, there is a chance it will be exposed, and there are several avenues through which this could happen.
Fortunately, VGS has been securing fintech firms’ sensitive data for years using a next-generation data security approach that enables businesses to evade storing sensitive information on their systems altogether - while still enabling businesses to reap all the benefits of the original data.
This approach is called data aliasing, which is a technique that redacts sensitive information in real-time and replaces it with a synthetic data alias, enabling organizations to offload their data security responsibilities entirely by keeping the original data off their systems.
Businesses, whether they are a budding fintech firm or a large financial institution, simply put their data security burden in the hands of VGS, which takes care of all sensitive data collection, storage and transfer on their behalf.
With their systems significantly freed from sensitive data, businesses’ data security and compliance scope is drastically minimized - enabling them to spend time focusing on innovating their products instead of designing a complex data privacy policy.
