Innovating with AI-Driven Threat Detection and Blockchain-Based Data Protection: Exploring the Benefits and Challenges of ImplementingEmerging Technologies in Cybersecurity

Abstract

The current generation of digital threats is much more advanced and present more often than standard security features can handle. This paper aims to understand how modern technologies like AI and blockchain can help enhance security. AI is beneficial in identifying threats in real time, managing incidents, and applying predictive measures with integrated machine learning. In contrast, blockchain provides security to data through decentralization and the inability to change data once recorded. The paper also explores the advancement and utility of AI and its integration into industries, focusing on the use of AI and BlockChain technologies to enhance the security of networks, data, and infrastructures. The rise of AI bias, scalability of blockchains, and regulatory issues are also outlined, as well as solutions for solving these problems. In cybersecurity, a look into the future will be made by exploring factors such as quantum computing concerning AI and blockchain. Finally, the current paper discusses how the awareness, interference, and understanding of the cybersecurity frameworks need to be escalated to build robust, long-lasting cybersecurity that would be apt for addressing present-day challenges.