The problem that AI-based security systems for blockchain networks is trying to solve is to prevent hacking and other malicious activities on these networks. This includes protecting the integrity and confidentiality of the data stored on the blockchain, as well as ensuring the smooth and secure functioning of the network itself. The problem is particularly relevant in the context of blockchain technology, where the decentralized and distributed nature of the network makes it a tempting target for hackers and cybercriminals.
By using AI-based tools, the goal is to provide a more advanced and sophisticated security solution that can detect and prevent hacking attempts in real-time, and respond quickly to any potential threats to the network. The use of AI can help automate security processes, making it easier to identify and address vulnerabilities before they can be exploited. Additionally, by using machine learning algorithms, AI-based security systems can adapt and evolve over time, allowing them to keep pace with new and evolving hacking techniques.
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