Enhancing Cybersecurity Through Predictive Threat Intelligence and Automated Incident Handling

EasyChair Preprint 14890

Abstract

In an era marked by increasing cyber threats and sophisticated attack vectors, traditional cybersecurity measures are often inadequate to address emerging risks effectively. This paper explores the integration of predictive threat intelligence and automated incident handling as a proactive approach to enhancing cybersecurity. Predictive threat intelligence leverages advanced analytics and machine learning algorithms to anticipate potential threats based on emerging patterns and historical data, enabling organizations to anticipate and mitigate risks before they manifest. Complementing this, automated incident handling employs advanced automation tools to swiftly respond to and manage security incidents, reducing response times and minimizing human error. By combining these approaches, organizations can achieve a more resilient cybersecurity posture, significantly improving their ability to prevent, detect, and respond to cyber threats. This paper provides a comprehensive analysis of the methodologies, benefits, and challenges associated with predictive threat intelligence and automated incident handling, offering practical insights and recommendations for implementing these strategies in modern cybersecurity frameworks.

Keyphrases: Benefits, Challenges, Implementation strategies, Methodologies, practical insights

@booklet{EasyChair:14890,
  author    = {Oluwaseun Abiade},
  title     = {Enhancing Cybersecurity Through Predictive Threat Intelligence and Automated Incident Handling},
  howpublished = {EasyChair Preprint 14890},
  year      = {EasyChair, 2024}}