Leveraging Artificial Intelligence for Cyber Threat Intelligence: Perspectives from the U.S., Canada, and Japan
Keywords:
Artificial Intelligence,Cyber Threat Intelligence,AI-driven Cybersecurity,Ethical Considerations.Abstract
Artificial intelligence is rapidly transforming cybersecurity practices, offering new capabilities for threat detection, automated response, and predictive modeling. This paper explores the evolving role of AI in cyber threat intelligence, focusing on the U.S., Canada, and Japan. It examines how these nations leverage AI to enhance their cybersecurity postures, while also addressing the unique challenges and considerations within each region. The study analyzes the adoption of AI-driven threat intelligence platforms and tools in the U.S. and Canada, contrasting their approaches with Japan's emphasis on data privacy and ethical AI development. Key areas of investigation include the use of machine learning algorithms for malware detection, anomaly identification, and vulnerability assessment. Furthermore, the paper discusses the challenges of maintaining accuracy in AI-driven systems, mitigating the risk of false positives, and ensuring responsible AI implementation. By comparing and contrasting the perspectives and practices of these three nations, this research provides valuable insights into the opportunities and challenges of leveraging AI for cyber threat intelligence in a rapidly evolving threat landscape. The findings contribute to a deeper understanding of how AI can be effectively integrated into cybersecurity strategies while addressing ethical and practical considerations.