AI Software Security for Smart Environment in a DynamicallyChanging Knowledge Management Strategy

The theory of smart environments assumes a diversity of human-supporting solutions that interact with each other and are oriented towards applying artificial intelligence.Concepts such as digital twin, software agent, and machine learning can aid the creation of smart environments by supporting the design and simulation of device behaviors.This article aimed to conduct research addressing the question how does multi-agent software impact smart grid security and show the practical exemplification of supporting smart grid security with multi-agents system.The paper's research findings discussed the AI-based knowledge management model in the context of the GRAI framework usage, which stands for Generative, Receptive Artificial Intelligence, and presents a proposal of an updated model that takes into account recent developments regarding GenAI and its consequences for KM.Based on the conducted research, an algorithm for collecting information from devices was proposed and used in a simulation based on the Isolation Forest algorithm.