The cyber threat has gained ground and continues to progress from year to year [1]. Reinforced by technological advancements and the increasing demand for connectivity, it has become a major challenge to the security of our digital world. A multi-layered strategy must be adopted to address this challenge and enhance our traditional threat prevention and detection mechanisms. This strategy should involve innovative cybersecurity measures, such as AI-powered threat detection systems, strengthen the maturity of stakeholders, and facilitate real-time threat intelligence gathering and global collaboration. This paper explores how artificial intelligence can enhance this strategy through faster response times, improved analysis and data collection, and prevention of potential threats. It will address AI solutions’ technical, societal, and ethical challenges.

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Towards an AI-Driven Threat Intelligence and Incident Response

  • Rabii El Khadiri,
  • Mohammed Nasri,
  • Alaeddine Boukhalfa

摘要

The cyber threat has gained ground and continues to progress from year to year [1]. Reinforced by technological advancements and the increasing demand for connectivity, it has become a major challenge to the security of our digital world. A multi-layered strategy must be adopted to address this challenge and enhance our traditional threat prevention and detection mechanisms. This strategy should involve innovative cybersecurity measures, such as AI-powered threat detection systems, strengthen the maturity of stakeholders, and facilitate real-time threat intelligence gathering and global collaboration. This paper explores how artificial intelligence can enhance this strategy through faster response times, improved analysis and data collection, and prevention of potential threats. It will address AI solutions’ technical, societal, and ethical challenges.