The popularity of generative AI has created a tricky terrain for organizations to navigate. On the one hand, there is this transformative technology with the potential to reduce costs and increase revenues, on the other hand, misuse of AI can upend entire industries, lead to public relations disasters, customer and employee dissatisfaction, and security breaches. Not to mention lots of money wasted on failed AI projects.
Researchers disagree about how much return enterprises are seeing on their AI investments, but surveys show increased adoption of generative AI in more business use cases, and a steady growth of projects moving from pilot to production. A Zscaler AI security report, released in late March, saw a 3,464% increase in enterprise AI activity.
But with the growing awareness of the potential of generative AI, there’s also a growing awareness of its risks. For example, according to Zscaler, enterprises currently block 60% of all AI transactions, with ChatGPT being the individual application blocked most often. One reason? There were around 3 million attempts by users to upload sensitive data to ChatGPT alone, Zscaler reports.
