Blockchain and AI Integration for Autonomous Threat Detection: A New Frontier in Cybersecurity

The synergist approach between artificial intelligence (AI) and blockchain technologies is transforming

the sphere of cybersecurity to address the historical issues of data integrity, threat detection, and resilience of the

system. The predictive analytics and adaptive defense capabilities of AI supplement the decentralized, tamper-resistant

structure of blockchain, which combine to offer a multi-layered approach to cyber defense. The recent uses cover such

critical areas as financial systems, medical care, autonomous vehicles, and smart environments, which proves that such

integration can reduce advanced persistent threat, as well as provide transparency to digital ecosystems.Nonetheless, even with favorable trends, there are still problems, such as scaling issues, interoperability, bias in the

algorithms, and expensive energy use. In addition, the issues around ethics and governance frame the necessity of crossdisciplinary structures that would provide balance between innovation and accountability. New studies have shown that

cybersecurity ecosystems in the future will more often implement AI-blockchain technologies with quantum computing

and next-generation networks that open the way to secure, adaptable, and human- friendly digital agendas. The article

provides recent trends, applications, and gaps in research, and add to the discussion on anticipate, withstand, recover

from, and adapt to cyberattacks.