Nearly half of employees in Morocco’s public and private sectors have shared sensitive work documents with artificial intelligence tools outside their employer’s control, according to a new survey from cybersecurity firm Kaspersky and consulting group Averty. The survey, which encompassed 310 workers across Morocco, reveals a concerning gap between the growing adoption of AI in the workplace and the lack of formal oversight regarding data security.
The findings indicate that 42% of respondents have uploaded confidential material to external AI platforms. Among these individuals, 35% reported sharing email content or internal messages, while another 35% disclosed detailed professional information. Additionally, 30% admitted to sharing work-related screenshots, and nearly 19% reported sharing financial documents, performance indicators, or spreadsheet files.
AI integration into Moroccan workplaces appears widespread, with 57% of respondents claiming to use AI tools in their jobs. An overwhelming 84% reported using these tools several times a week, including 43% who use AI daily and 41% who engage with it multiple times a week. Only 16% stated they utilize AI about once a month or less.
The most prevalent tool among respondents is ChatGPT, cited by 84%, followed by Google Gemini at 63% and Microsoft Copilot at 23%. Other platforms mentioned include Perplexity AI at 16%, Claude at 12%, and image-generation tools at 11%.
Trust in AI-generated outputs is notably high, with approximately 91% of workers expressing confidence in the results. Of those, 31% categorized AI outputs as “very reliable,” while 60% deemed them “somewhat reliable.” The report cautioned that this level of trust may encourage employees to utilize AI even when handling sensitive information, increasing the risk of data breaches.
Researchers noted that the rapid spread of AI in Morocco’s workplaces is being driven more by individual initiative than by company policy. Many organizations reportedly lack clear guidelines regarding the types of data that can be used with external AI systems. The report emphasized the need for stronger regulations, enhanced staff training, and improved data protection measures. It warned that while the efficiency gains from AI adoption are significant, they may come at the expense of escalating exposure of sensitive data.
The implications of these findings highlight a crucial area of concern for both employers and employees. As AI tools become increasingly integrated into everyday work processes, the necessity for robust data governance and training becomes paramount. Without proper oversight, the risks associated with data exposure could undermine the benefits that AI technologies offer.
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