Generative AI Empower Users, But it May Challenge Security

With the easy-going creation of new applications and automation in recent years, low-code/ no code has been encouraging business partakers to deal with their requirements on their own, without depending on the IT.

The power of generative AI, which has caught the attention and mindshare of the business and its customers, both increases the power as the entry barrier is virtually eliminated. Generative AI is integrated into low-code/no-code, accelerating the business’ independence. Today, everyone is a developer, without a doubt. However, are we ready for the risks that follow?

Business professionals began utilizing ChatGPT and other generative AI tools in an enterprise setting as soon as they were made available in order to complete their tasks more quickly and effectively. For marketing directors, generative AI creates PR pitches; for sales representatives, it creates emails for prospecting. Business users have already incorporated it into their daily operations, despite the fact that data governance and legal concerns have surfaced as barriers to official company adoption.

With tools like GitHub Copilot, developers have been leveraging generative AI to write and enhance code. A developer uses natural language to describe a software component, and AI then generates working code that makes sense in the developer’s context.

The developer’s p

[…]
Content was cut in order to protect the source.Please visit the source for the rest of the article.

This article has been indexed from CySecurity News – Latest Information Security and Hacking Incidents