The rapid rise of low-code and no-code platforms has democratized application development, enabling even non-technical business users to swiftly create critical business applications. However, this accessibility brings new security challenges, particularly with the integration of AI technologies such as copilots, which are used to automate tasks and enhance functionality within these platforms. Zenity enhances the security of these AI-integrated environments by managing and securing AI copilots.

Developing applications using low code platforms has gained popularity in recent years due to its ability to accelerate the software development process. However, with increased speed and efficiency comes the need for robust security measures to protect sensitive data and ensure a safe user experience. In this article, we will explore the best practices and strategies for enhancing low code application security.

In today’s rapidly evolving digital landscape, the importance of low code security cannot be overstated. As organizations increasingly rely on low code development platforms to accelerate application and software development, it is crucial to understand the significance of robust security measures.

Low-code platforms have become a transformative force in the dynamic world of software development. They’ve democratized the designing, building, and deployment of software, which has had a ripple effect across entire industries. Today, with minimal coding expertise, users can craft innovative applications tailored to meet the needs of consumers and businesses alike. But the allure of low-code simplicity also creates a challenge.

It seems that “no-code” is a term we hear more often in the security automation context these days. And this is especially true because automation has become one of the major talking points in cybersecurity. How is no-code automation implemented in cybersecurity? How do no-code and Sumo Logic automation compare to each other? We’ll discuss all these questions in the following sections.

The world of software development has witnessed a significant transformation thanks to low-code/no-code development platforms like Microsoft Power Platform, Salesforce, and ServiceNow. These platforms have empowered developers and business users of all technical backgrounds to create applications, automations, bots, connections (and more), rapidly and with greater accessibility.

When working with security teams and application security analysts, the new world of low-code/no-code development presents new questions that invariably begin with ‘where do we start?’ With so many new applications, automations, and more that are introduced to the corporate environment, it can seem like an endless pit of concerns about data flows, user permissions and potential security risks introducing my organization that need to be analyzed and brought under management.

In today’s rapidly evolving digital landscape, organizations not only seek out, but need to harness the power of emerging technologies to stay ahead of the competition. Two of the most promising trends in the tech world are generative AI and low-code/no-code development. Generative AI, in particular, has generated the majority of the headlines, with seemingly infinite use cases to spur productivity for end users and business.