Abstract

Initially, when artificial intelligence is mentioned in conjunction with the phrase ‘asset management’, what springs to mind is how AI is used for investment assets and financial portfolios. However, even more than the management of investment portfolios is the use of AI in asset management. Information asset management plays a key role in cyber security and AI can also aid in the efficient running of this sub-process. The aim of this paper is to highlight the various ways in which AI can help with the management of information assets and contribute to the strengthening of security postures of enterprise systems. It also proposes a method for the identification of rogue assets in an asset list using the isolation forest algorithm. Results of the research showed that in the detection of outlier assets based on chosen attributes, with an accuracy of 90%, the algorithm accurately identified assets with anomalies indicating its usefulness in identifying rogue assets in the asset management process.

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