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As AI consumes our data and its reasoning pulls the strings of reasoning together and creates useful information, it has a profound impact on the knowledge industry. Work that was the mundane collation and analysis of data can now be done faster and with more accuracy than before. However there is a problem. Gen AI, is General, using LLMs full of General Data. To perform tasks carried out by knowledgeable professionals such as lawyers or auditors, Doctors, AI must also consume professional knowledge. Knowledge that is often not sitting within Gen AI, as it has not made its way into the public domain.For example, Gen AI isn’t going to start Brain Surgery any time soon. But knowledge based systems exists that have consumed the knowledge of brain surgeons to help the surgical process.As a case in point for cyber audit. Where the creation of domain specific AI, that consumes audit knowledge, you can demonstrate more accurate evaluations of audit materials to confirm the persuasiveness and quality of audit artefacts in line with audit scope. Make reasoned judgements from the content of audit artefacts, as they relate to audit scope, with greater efficiency, accuracy and timeliness than can be performed by auditors. Ahead of oversight and assurance by qualified audit partners.All of which changes the value proposition of the cyber audit process. Coming at a time when we do not have the necessary knowledge skills or experience to perform the amount of cyber audits. As required to enable covered entities demonstrate governance over cyber regulatory compliance in the US or EU.@Thaddeus Dziekanowski Brian D. McCarthy Faisal KhanVeritas GRC#cybersecurity #cyberriskmanagement #cyberregulation
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