The Role of AI in Enhancing Automated Threat Detection Systems

EasyChair Preprint 14364

Abstract

The increasing sophistication of cyber threats necessitates advanced mechanisms for threat detection and mitigation. This paper explores the pivotal role of artificial intelligence (AI) in enhancing automated threat detection systems. It delves into how AI technologies, including machine learning and deep learning, improve the accuracy and efficiency of identifying and responding to security threats. By analyzing recent advancements, the paper highlights the integration of AI-driven analytics in recognizing patterns, anomalies, and emerging threats that traditional systems may overlook. Additionally, it examines the benefits of adaptive learning in AI models, which allow for continuous improvement and real-time updates in threat detection. The study also addresses challenges such as the need for high-quality data, potential biases in AI algorithms, and the balance between automation and human oversight. Overall, the paper underscores AI's transformative impact on automated threat detection systems and provides insights into future developments in the field.

Keyphrases: AI-Driven Security Measures, Advanced Incident Management, Cybersecurity Automation, Intelligent Threat Response, Next-Gen Defense Mechanisms

@booklet{EasyChair:14364,
  author    = {Oluwaseun Abiade},
  title     = {The Role of AI in Enhancing Automated Threat Detection Systems},
  howpublished = {EasyChair Preprint 14364},
  year      = {EasyChair, 2024}}