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"Our evidence also implies that client firms that share the same audit office as breached firms increase their disclosure of cybersecurity risk and their demand for cybersecurity human capital. Reconciling with the Bayesian learning theory, these effects only manifest for auditors located in states that have been only sporadically exposed to data breaches."
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"By comparing the decisions output by diverse settings, we find that ML algorithms can mitigate both the preference-based bias and the belief-based bias, while the effects vary for new and repeated applicants. Based on our findings, we propose a two-step human-AI collaboration framework for practitioners to reduce decision bias most effectively."
"Social engineering is a very common type of malicious activity conducted on cyberspace that targets both individuals and companies in order to gain access to information or systems. It is part of the broader domain of cybersecurity and the first step to mitigate this type of attack is to know its attack vectors. This way, the risk of becoming a victim of this type of attack can be reduced by technical means, proper security culture and procedural solutions..."