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Data privacy and regulatory compliance in low-code platforms

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Concerns around data privacy and regulatory compliance shouldn’t derail the adoption of low-code platforms. Here’s how to ensure low code doesn’t equal high risk.

The adoption of no-code and low-code technologies is soaring. Gartner predicts that by 2025 70% of new enterprise applications will be created in low-code development environments, up from just 25% in 2020. This growth accompanies an acute shortage of professional software developers in the wake of the coronavirus pandemic. At the same time, businesses and non-profit organizations alike face constant pressure to innovate rapidly.

No-code and low-code technologies present a way to close that gap, since they allow almost anyone to become a software developer. As co-founder and CEO of GitHub Chris Wanstrath famously said back in 2017, the future of coding is no coding at all.

However, while the value of low-code is undeniable, we cannot afford to lose sight of one of the biggest barriers to its adoption – data privacy and security. Low code doesn’t necessarily mean low risk. After all, allowing more people in the enterprise to get involved in development can naturally lead to creating new vulnerabilities, such as lack of oversight and visibility.

Adopting low-code software development is especially challenging for enterprises which have relied on in-house development for decades. As is the case with any transformation, the risks of something going wrong are ever-present, and adopting low-code platforms is no exception. On the other hand, the costliest words in business are ‘we’ve always done it this way’. That’s why digital transformation must always approach privacy, security, and regulatory compliance by design and default. Here’s what that means in the context of low-code development.

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3 ways standardization enhances low-code and open-source security

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In simplifying software development, low code can also help reduce cybersecurity complexity, thanks to enhanced standardization and integration.

Over the past couple of decades, the technical footprint of many enterprises has become very complex and difficult to maintain. As business leaders struggle to keep up with the constantly evolving customer demands and all the ancillary challenges that come with it, that complexity is only likely to increase. This has also made it harder to maintain accountability for managing risk. In other words, enterprises are becoming too technically complex to secure.

As enterprises grapple with a rapidly expanding data footprint, with data coming from myriad different sources, the need for standardization and simplified management becomes clearer. Add the unprecedented rise of remote work and the internet of things (IoT) into the mix, and that need is even greater. Organizations are now using an average of software-as-a-service (SaaS) apps, presenting a 14-fold increase over just six years.

Naturally, achieving a sufficient degree of information security becomes exponentially harder the larger and more diverse the software stack and data footprint. While many cloud vendors are now embracing open-source standardization to reduce complexity, problems like vendor lock-in and a general lack of digital sovereignty persist. This results in reduced control which, in turn, can lead to compromised security and a lack of compliance with industry standards.

For established enterprises, the challenge is even greater. Even if they have a robust digital transformation strategy in place, most are still grappling with legacy technology which, in turn, means data sources that are difficult to adapt for modern, cloud-based apps and architectures. This often results in enterprises not knowing exactly where all their data physically resides or which controls are in place to protect it. After all, you can’t protect what you don’t know about.

By embracing a combination of low-code software development and open-source licensing, enterprises can democratize development and achieve greater control over their data assets. Low-code simplifies and standardizes the creation of business apps, while the open-source model helps maintain digital sovereignty and control. With the right strategy and support, this powerful combination can greatly enhance an enterprise’s security posture. In this article, we’ll find out exactly how.

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What Is the Advantage Of Cloud Computing?

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Cloud computing is defined as the on-demand delivery of various types of computing services such as software, storage, databases, and much more through web-based platforms.

Cloud computing can help businesses to easily access organizational data and information through online resources without significant time delays, manage different software for various business processes, protect organizational and client privacy, and much more.

As the amount of data and digital infrastructure that businesses are expected to keep track of increases rapidly, businesses need to recognize the power of cloud computing. Studies have shown that 80% of companies that have adopted cloud-based technology have reported operational improvements.

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