The research covers some 1.7 million users across 70 global organizations, and found an average of 158 monthly incidents of source code being posted to ChatGPT per 10,000 users, making it the most significant company vulnerability ahead of other types of sensitive data.
While cases of regulated data (18 incidents/10,000 users/month) and intellectual property (four incidents/10,000 users/month) being posted to ChatGPT are much less common, it’s clear that many developers are simply not realizing the damage that can be caused by leaked source code.
Be careful what you post on ChatGPT
Alongside continued exposures that could lead to weak points for enterprises, Netskope also highlighted the boom in interest in artificial intelligence. The figures point at a 22.5% growth in GenAI app usage over the past two months, with large enterprises of over 10,000 users using an average of five AI apps daily.
ChatGPT takes the lead, accounting for eight times as many daily active users than any other GenAI app. With an average of six prompts daily, each user has the potential to cause considerable damage to their employer.
Rounding up the top three generative AI apps in use by organizations globally besides ChatGPT (84%) are Grammarly (9.9%) and Bard (4.5%), which itself is experiencing healthy growth of 7.1% per week compared with 1.6% per week for ChatGPT.
Many will argue that uploading source code or other sensitive information can be avoided, but Netskope’s Threat Research Director, Ray Canzanese, says that it is “inevitable.” Instead, Canzanese places the responsibility on organizations to implement controls around AI.
James Robinson, the company’s Deputy Chief Information Security Officer, added: “Organizations should focus on evolving their workforce awareness and data policies to meet the needs of employees using AI products productively.”
For admins and IT teams, the company suggests blocking access to unnecessary apps or those that pose a disproportionate risk, providing frequent user coaching, and adopting sufficient modern data loss prevention technologies.