Enhanced cybersecurity via decentralization AI and Blockchain

As artificial intelligence (AI) becomes ever more prevalent in cyber security, the call for AI systems that are both secure and decentralized grows stronger. In this context, block chain technology stands out as a powerful tool for enhancing both the security and the privacy of AI systems — thanks to its decentralized architecture and immutable record-keeping. This literature review explores how block chain technology and decentralized AI interlock within the cyber-security space. It begins by presenting a detailed taxonomy of block chain technologies and decentralized AI approaches in the context of cyber security, thereby providing the conceptual foundation for the study. Starting with an overview of block chain technology, the paper outlines its potential applications in cyber security — and also honestly discusses the challenges and opportunities involved. Next, it turns to decentralized AI, examining its possible advantages in cyber security settings (such as resilience, distributed intelligence, and improved privacy) along with the obstacles it faces.

On that basis, the review presents compelling findings that illustrate how block chain technology and decentralized AI can work together in beneficial ways — enhancing security, boosting privacy, and increasing trust in AI systems. The paper also highlights real-world use cases of block chain-enabled decentralized AI to show how these ideas can be applied to actual cyber security problems. Finally, the study sketches future research directions: what remains to be done, which applications hold real promise, and what implications this emerging convergence of technologies may have — emphasizing the potential of block chain-enabled decentralized AI to strengthen security, preserve privacy, and build trust in AI systems.