Introduction

Smart grids are becoming increasingly common in the world of modern technology. However, smart grids also pose security challenges, as devices and systems connected to them can be vulnerable to attacks by cybercriminals. However, Artificial Intelligence (AI) can help to strengthen security measures and minimise risks.

AI-based threat intelligence

Artificial Intelligence can continuously monitor the data flow within smart networks and use analytical algorithms to identify potential threats. AI can detect unusual traffic, suspicious activity and attacks of unknown origin. It can then immediately notify the administrator or automatically activate security measures to prevent an attack.

AI-based network protection

Artificial Intelligence can learn from previous attacks and the methods that attackers try to use. This enables the AI to detect recurring patterns and take preventive measures against similar attacks. AI-based network security is able to adapt to new threats and continuously update its protection mechanisms.

AI-based hybrid protection

The combination of AI and traditional security solutions can be the most optimal solution to enhance the security of smart grids. AI can identify potential threats based on data analysis, while traditional security solutions protect against known attacks. With this hybrid protection, the administrator can provide a broad range of protection for smart grids.

Summary

Artificial Intelligence can significantly help to increase the security of smart grids. AI-based threat analysis, network protection and hybrid protection enable a fast and efficient response to attacks, minimizing risks and ensuring reliable operation of smart networks.

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