Anyone has any ideas on how you could use AI/ML for real-time dynamic predictive analytics of cyber risks? There is a discussion on AI and cybersecurity, I have seen that, but if you wanted to understand the risk - not security, for cyber risk assessment purposes, what AI algorithms and what data sets would you use for real-time dynamic predictive analytics of cyber risks? I was thinking of something like (super) forecasting of future risks.
Most of the cyber risk frameworks (e.g. NIST) don't include anything on this topic.
Hello prof, Ai is a concept and ML is an approach. The cyber security mostly relates to machine learning (not to AI) and moreover the large part of the tasks are not human-related.
Machine Learning is a subset of Artificial Intelligence. It has many applications in a real time sense, e.g., in Navigation Systems, Radar, Gyroscopes, Accelerometers, Satellites, security systems, Robotic surgeries, businesses, education, politics, medical and all other sciences,.... and hundreds of many others. For a bit details, please look at : https://apps.dtic.mil/dtic/tr/fulltext/u2/a459660.pdf
https://dl.acm.org/doi/book/10.5555/573193
https://www.accenture.com/au-en/insights/artificial-intelligence-index?c=au_au_artificialintel_10447253&n=psgs_generic_1218&gclid=CjwKCAiA_eb-BRB2EiwAGBnXXtEdWRm2C90DffXO8PqgiUmpO_gbA16bM1kKj3AMQfs2CRw8Mq9Z5BoCdLoQAvD_BwE
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