Abstract

Cybersecurity incident response requires fast, high-quality decision-making from both technical and non-technical stakeholders. However, incident reports are often written in highly technical language, making them hard for executives and managers to interpret under pressure. This study examines whether AI can reframe technical cybersecurity incident reports into narratives that remain accurate while also being empathetic and accessible to non-technical stakeholders. Using a qualitative interview-based approach, the project examines how C-Suite executives describe their experiences receiving and interpreting cybersecurity incident communication. The interviews explore how factors such as tone, framing, and clarity affect executives’ understanding, trust in the information, and confidence in decision-making. By centering executive perspectives, this research offers qualitative insights into AI-supported cybersecurity communication.

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