Revolutionizing Cybersecurity: the Role of Artificial Intelligence in Advanced Threat Detection and Response

EasyChair Preprint no. 12051

Abstract

In an era marked by relentless cyber threats, the integration of artificial intelligence (AI) into cybersecurity has emerged as a pivotal strategy for enhancing threat detection and response capabilities. This paper explores the transformative impact of AI on cybersecurity, focusing on its role in advancing threat detection and response mechanisms. By leveraging machine learning algorithms, natural language processing, and anomaly detection techniques, AI empowers cybersecurity systems to analyze vast volumes of data, identify patterns, and preemptively thwart sophisticated cyber-attacks. This paper examines the application of AI in various cybersecurity domains, including network security, endpoint protection, and behavioral analytics, highlighting its efficacy in mitigating evolving threats. Furthermore, it delves into the challenges and ethical considerations associated with AI-driven cybersecurity solutions, emphasizing the need for robust governance frameworks and responsible AI practices to ensure efficacy and mitigate unintended consequences. Overall, this paper underscores the imperative of embracing AI as a force multiplier in cybersecurity, advocating for ongoing research and collaboration to harness its full potential in safeguarding digital assets and infrastructure against emerging threats.

Keyphrases: anomaly detection, Artificial Intelligence, behavioral analytics, Cybersecurity, endpoint protection, Ethical Considerations, Governance, machine learning, Natural Language Processing, Network Security, Response, Threat Detection

@Booklet{EasyChair:12051,
  author = {Jonny Bairstow},
  title = {Revolutionizing Cybersecurity: the Role of Artificial Intelligence in Advanced Threat Detection and Response},
  howpublished = {EasyChair Preprint no. 12051},

  year = {EasyChair, 2024}}