In recent years, low-code/no-code has enabled business users to intuitively build applications and automation to address their own needs without waiting for IT. Capturing the imagination and mindshare of businesses and customers, generative AI will increase its power and lower the barriers to entry to virtually zero. Incorporating generative AI into low-code/no-code empowers businesses to move forward on their own. Well, without question, everyone is a developer. Are you prepared for the security risks that follow?
As soon as ChatGPT was released, business professionals began using ChatGPT and other generative AI tools in corporate environments to get their jobs done faster and better.Write by generation AI PR Pitch for Marketing Director, lead emails for sales reps, and many other use cases. Data governance and legal issues have emerged as barriers to formal corporate adoption, but business users are already incorporating data into their daily operations without waiting for approval.
Developers, on the other hand, have used generative AI to write and improve their code using tools like GitHub Copilot. Developers specify software components in natural language, and AI generates working code that fits within the developer’s context. The developer’s role in this workflow is very important. Developers must be able to ask the right technical questions, evaluate the generated software, and integrate it with the rest of the code base. These tasks require software engineering expertise.
Note that there is a distinct difference between the business professional use case specified above and the developer use case. Developers create software that can be shared and reused and that works for users. A business professional, on the other hand, answers specific questions and needs one at a time. A limiting factor in business professionals generating their own applications is the ability to make inferences about AI-generated software without the developer’s technical expertise. This is exactly where low-code/no-code comes into play.
Code generation for business professionals
Low-code/no-code is, above all, an intuitive language that allows anyone with no technical background to reason about software. This makes it a perfect candidate to act as a translator between generative AI and business users. Instead of generating software code that requires technical expertise to evaluate, generative AI generates low-code/no-code applications and automation that can be easily evaluated and tuned by business users. Low-code/no-code and AI are perfect for empowering business professionals.
Leading low-code/no-code vendors have already announced AI copilots that generate applications based on text input. Analysts predict a 5- to 10-fold growth in low-code/no-code application development with the introduction of AI-assisted development. A low-code/no-code platform makes it easy to integrate AI across enterprise environments and access enterprise data and operations. We are approaching the reality that every conversation with AI can leave your application behind. The applications are connected to business data, shared with other business users, and integrated into business workflows.
Accept and manage security risks
Security teams have traditionally focused on applications created by development organizations. We still often fall prey to thinking of business platforms as off-the-shelf solutions, but in reality business platforms have become application development platforms that power many business-critical applications. The effort to bring citizen developers under the security umbrella is just beginning.
With the introduction of generative AI, more business users will create more applications. Business users have already made decisions about where their data is stored, how applications process it, and who gets access to it. Leaving them to make these choices without any guidance is bound to lead to mistakes.
Some organizations prohibit citizen development or require business users to authorize application and data access. It’s a natural reaction, but it’s hard to believe that it will succeed given the enormous productivity it brings to the business. A better approach would be to provide a secure way for business users to leverage low-code/no-code generative AI, handle security issues silently, and set automatic guardrails that let business users do their best work and move the business forward. to install.
