Trust calibration of automated security IT artifacts: A multi-domain study of phishing-website detection tools

Phishing websites become a critical cybersecurity threat affecting individuals and organizations. Phishing-website detection tools are designed to protect users against such sites. Nevertheless, face serious user trust suboptimal performance issues which require calibration align with the tool’s capabilities. We employ theoretical framework of automation reliance as kernel theory develop model for phishing-website tools. test using controlled lab experiment. The results our analysis show that users’ in can be calibrated by calibrators. Moreover, has significant consequences, including tool reliance, use, phishing websites.