AuditorMatch: A data-driven decision-support system for evaluating and selecting cybersecurity auditors

Key Points

• The system enhances the evaluation process for selecting cybersecurity auditors, improving overall security standards.
• Key evidence includes a 30% increase in selection accuracy compared to traditional methods observed across various firms.
• The approach utilizes a data-driven decision-support system to streamline the auditor evaluation and selection process.
• This may enable organizations to better identify suitable auditors, highlighting the need for technological advancements in cybersecurity.