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.

Enterprises are racing to adopt AI copilots and low-code/no-code platforms to innovate and maximize efficiency by placing powerful technology and development tools in the hands of all business users. While the productivity gains are enormous, so are the security risks, as the nature of these copilots and low-code platforms results in a surge of new business apps being created at the enterprise.

Microsoft Fabric is an end-to-end analytics and data platform that covers a wide range of functionality, including data movement, processing, ingestion, transformation, real-time event routing, and report building. The platform allows business users of all technical backgrounds to create, process, and store data and build powerful business tools from a unified platform.

AI has undoubtedly revolutionized various industries, enhancing both efficiency and innovation through low-code and no-code platforms. Yet, this ease of development brings with it an increased burden of security. As business users and developers rapidly build applications, automations, and bots using AI, the complexity and volume of these creations amplify potential security vulnerabilities.

With the democratization of application development, users can now quickly create powerful applications without deep coding skills using AI copilots and low-code/no-code development tools. However, this ease of use can also introduce vulnerabilities, especially since many new developers aren’t well-versed in low-code application security best practices.

Empowering Citizen Developers: Using Zenity’s Tools in AI-Driven Development The ability to develop applications, automations, and bots without the need for custom coding, has resulted in a paradigm shift for cybersecurity. Now, more than ever, citizen developers can design and implement solutions without the need for a traditional coding background. Due to innovative tools and platforms, as well as the integration of AI, development is now faster, more accessible, and more efficient.

AI is at the heart of technology democratization. As AI tools become more accessible, individuals and organizations have begun to utilize AI copilots to build their own apps, automations and increase productivity in their jobs. This transformation has come to be known as the next evolution of low-code and no-code development. This development promises to accelerate innovation, enhance productivity, and solve complex problems more efficiently than ever before.

As we navigate through an era increasingly dominated by artificial intelligence, the theme of RSAC 2024, “The Art of the Possible,” couldn’t be more apt. This year, Zenity, a trailblazer in securing and governing business productivity tools like Copilot for M365, Power Platform, Salesforce, and ServiceNow, highlighted the vast possibilities—and the associated risks—of democratized technology and software development.

In the realm of modern enterprise productivity suites, Copilot for Microsoft 365 stands as a huge driver for efficiency, offering business users the ability to aggregate, summarize, and process data within the M365 suite of tools. However, for organizations with diverse infrastructure and applications, and the need for real-time data interactions, the out-of-the-box functionality requires augmentation to reach its full potential, not to mention secure controls for Copilot for M365.

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.