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AI-Enabled Knowledge Management and Cybersecurity: Challenges, Opportunities, and Technological Implications

  • Lina Zaid,
  • Khaled Shaalan

摘要

Secure knowledge management is crucial for enterprises that have access to a lot of data in today's data-driven world. They can be more productive and innovative because it aids in decision-making. To protect sensitive information and stop cyberattacks, it is essential to make sure that knowledge management is done securely. The development of AI-enabled analytics approaches has the potential to significantly improve numerous facets of secure knowledge management and cybersecurity. These include areas such as Cyber Threat Intelligence, Disinformation and Computational Propaganda, Security Operations Centers, and Adversarial Machine Learning. Even though these topics have been widely researched, recent developments in AI present encouraging potential for advancement. The paper discusses the potential advantages of cutting-edge AI technologies like ChatGPT in a variety of contexts, including improving cybersecurity in various businesses. Further study, according to the article, is required to determine the appropriate contexts for implementation in cybersecurity, investigate the ethical and legal issues surrounding its use, explore biases in training datasets and processes, and explore the skills and resources needed to handle generative AI. Although perspectives on the need for limitations or regulations on ChatGPTs use vary, more research is required to answer these crucial topics.