AI tools such as ChatGPT, Google Gemini, and Microsoft Copilot can help employees create, summarise, and proofread content, which can help employees work faster and with more accuracy. However, it can also open up the company to privacy risks.
Last year, a US-based data security company detected and blocked requests to input sensitive data into ChatGPT from 4.2% of the 1.6 million employees at its client companies. Among the blocked requests included a doctor encoding a patient’s name and medical information onto ChatGPT and asking the GenAI tool to create a letter to the patient’s insurance company.6
Meanwhile, this year, a researcher discovered how an AI tool that automatically transcribes meetings called Otter AI accidentally sent him a transcript of the meeting he attended as well as hours’ worth of confidential conversations that transpired after their meeting concluded.7
Employees are using these advanced and highly accessible GenAI platforms without proper training, which leads them to input sensitive and critical information unintentionally. In fact, 4 out of 10 employees admitted to sharing confidential work information with an AI tool without their employer’s knowledge.8
Even though younger professionals are generally more tech-savvy, they weren’t immune to unwittingly leaking sensitive data. According to a Forbes article, Gen Z and Millennials had the highest incidences of unauthorised data sharing using GenAI tools.9