Automated Threat Intelligence: Revolutionizing Cyber Threat Detection and Response

EasyChair Preprint 14372

Abstract

The rapid evolution of cyber threats demands innovative solutions for effective detection and response. "Automated Threat Intelligence: Revolutionizing Cyber Threat Detection and Response" explores the transformative potential of automation in cybersecurity. This paper investigates how automated threat intelligence systems enhance the identification, analysis, and mitigation of cyber threats by leveraging advanced technologies such as machine learning, artificial intelligence, and big data analytics. By integrating these technologies, automated systems can process vast amounts of data in real-time, uncovering patterns and anomalies that might elude human analysts. The study highlights case examples demonstrating significant improvements in threat detection accuracy and response times, while also addressing challenges related to system integration, data privacy, and the evolving nature of cyber threats. The findings suggest that automated threat intelligence represents a critical advancement in cybersecurity, offering organizations a proactive and adaptive approach to safeguarding digital assets against increasingly sophisticated threats.

Keyphrases: AI-based security systems, Automated Threat Intelligence, Cybersecurity Revolution, Proactive Cyber Defense

@booklet{EasyChair:14372,
  author    = {Wayzman Kolawole},
  title     = {Automated Threat Intelligence: Revolutionizing Cyber Threat Detection and Response},
  howpublished = {EasyChair Preprint 14372},
  year      = {EasyChair, 2024}}