‎IoT, Smart grids, smart buildings and automation are the buzz words in this era. So many advancements in the living spaces are in place and as time goes by, it gets much more advanced.

‎Beneath these advancements are sophisticated AI models running to actualize these technologies. From the grid level to large industrial consumers and to the household consumer, AI has infiltrated these spaces seamlessly.

‎Grids are now capable of predicting demand and managing energy distribution in real-time. They are able to detect anomalies prior to faults and carry out procedures to avert disaster. Buildings are able to regulate energy by identifying unused equipment and energy wastage and switching them off.

‎With the increased advancements, there is need for regulatory agencies to formulate policies in these spaces.

‎The EU Artificial intelligence act classifies AI used in critical infrastructure as 'High-Risk AI" and hence they need to meet strict compliance standards. The standards require robust cyber security, transparency, data governance controls and human oversight.

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‎The Federal Energy Regulatory Commission has also acted to oversee AI used in Energy trading algorithms and market optimization tools. All these bodies are swiftly acting on regulations to ensure AI deployed in Energy space is controlled.

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‎In line with this, AI based Energy audit tools such as Kawibot incorporates guard rails to enhance security and integrity of customer data. Tools like kawilens incorporate strict security mechanisms to ensure that data scanned by AI algorithms is not compromised. This hence ensure confidentiality and integrity of client data especially in audit processes.