Koen, Hildegarde S2026-10-162026-10-162026-08http://hdl.handle.net/10204/14978The rapid integration of AI copilots into productivity and professional software platforms, including Microsoft 365, integrated development environments (IDEs), Adobe applications, and engineering tools, is transforming the way researchers and knowledge workers perform their tasks. These technologies offer substantial gains in efficiency, creativity, and productivity by assisting with content generation, coding, data analysis, and decision-making processes. However, the increasing adoption of AI-enabled solutions introduces significant information security and privacy concerns, particularly when cloud-based processing is involved. Sensitive organisational data may be inadvertently exposed through user prompts, uploaded documents, or AI-generated outputs. As institutions seek to remain innovative and competitive, they must also implement robust governance, security controls, and user awareness measures to protect confidential information. Achieving an appropriate balance between technological advancement and information protection remains a critical challenge in the responsible deployment of AI copilots.FulltextenArtificial intelligence copilotsInformation securityCloud-based processingConference Presentationn/a