But while this transformation makes software development accessible to all, it can also lead to greater cybersecurity threats. Fortunately, it doesn’t have to be an either/or situation; it’s possible to develop AI applications and remain secure and compliant. The key is for security leaders to grasp AI development’s inherent risks and create a strategy for overcoming them.

Low code/no code embraces AI
Low-code and no-code platforms — with the help of AI — are the modern standard for making development accessible to everyone. This new way of developing apps, automation, and copilots gives any member of an organization the power of a developer, regardless of whether they have coding ability. Organizations have become increasingly reliant on these technologies to create greater productivity and efficiency as they encounter the need for constant innovation, tight deadlines, and fewer internal resources.

According to Gartner, more than 70% of all new applications will be generated by low-code/no-code development by 2025. Gartner also forecasts that more than three-quarters of organizations (80%) will have used generative AI (GenAI)-enabled apps in production environments and/or GenAI application programming interfaces (APIs) or models by 2026. This is a huge change, as less than 5% of organizations did so in 2023.

https://www.helpnetsecurity.com/2024/04/04/low-code-no-code-ai/