# Business Impact Analysis of AMM Data: A Case Study
###### Abstract
Last but not least, it is possible to leverage blockchain technology to achieve an immutable audit trail, where the immutable nature of the blockchain is used to create an audit trail of all network activity, ensuring the transparent monitoring and investigation of potential security breaches. Real-time monitoring capabilities should also be mentioned for their ability to quickly detect and respond to cyber threats, thus reducing the amount of time an attacker has to penetrate a system. Then, threat intelligence feeds can be integrated to keep users up-to-date on emerging cyber threats, and implementing proactive measures against potential attacks is also important for effectively managing cybersecurity. The subsequent outputs from the BIA and from risk analysts themselves are collected in incident response plans, which are imperative to get right. Well-defined incident response plans describe the steps to be taken in the event of a cybersecurity breach and ensure a rapid and coordinated response. Integrating blockchain technology into smart grids offers robust security benefits. By combining preventative measures with advanced detection mechanisms, organizations can significantly reduce the risk of cyber-attacks, protect critical data, and ensure the smooth operation of smart grids. Due to the dynamic development and availability of smart metering technologies, the fully fledged phased introduction of AMM, supported by national and European legislation, is realistic. However, the introduction of AMM as part of the smart grid entails specific risks from the perspective of DSOs, including the gradual emergence of norms and standards based on the EU directive Common Rules for the Internal Electricity Market [4], which addresses the technical risks of communication interference (electromagnetic compatibility, etc.). Cybersecurity is a significant risk for a new AMM-based system, as stated by [PERSON] et al. in [5], where he presents a detailed analysis in the area of cybersecurity for industrial control systems; furthermore, [PERSON] and [PERSON] in [6], focusing on the importance of a cyber-attack analysis targeting the Smart City area (in which AMM undoubtedly falls), an [PERSON] et al. in [7], where they similarly discuss the importance of analysis and risk management. While the obsolete and replaced mass remote control (HDO) system is highly robust concerning the technologies used and practically unassailable by conventional means (possibility of physical separation of control systems; high-power and connection voltages required for signal generation), the cyber security of the new system is a challenge that needs to be addressed both process-wise and technology-wise. There are also opportunities for the use of Artificial Intelligence in this area, as discussed by [PERSON] et al. in [8] in a sub-oral literature review discussing the contributions and risks of Artificial Intelligence, where the intelligent power control system that is mentioned plays a significant role. Similarly, the use of AI is discussed by [PERSON] et al. in the context of global sustainability, etc. [9]. It is clear from the above that the deployment of the AMM system as a global solution for the efficient management of the generation, distribution, and consumption of electricity brings new risks in the area of cyber security. The area of cybersecurity assurance at present often consists only of the implementation of security restraints and security baselines, which are logically related to the fulfillment of international security standards, especially ISO 27001 [10], and the recommendations of organizations such as ENISA or NIST. However, to optimize the deployment of uniform security measures and improve the perception of the ISO 27001 recommendations, it is necessary to identify the transformative assets: data and information.