Examining of the Impact of Artificial Intelligence on Threat Detection and Response Systems
Surya Geethan Devisree Arun Vasanthageethan · 2025
This paper explores how Artificial Intelligence (AI) is reshaping cybersecurity, especially in detecting threats and responding to incidents.AI-driven systems use techniques like machine learning to sift through massive amounts of data and spot unusual patterns that might signal an attack, even when these threats are complex and hard for traditional methods to catch.AI also helps reduce false alarms, making it easier for security teams to focus on real issues.In responding to attacks, AI enables fast, automated actions that contain threats before they cause significant harm.The paper explains how different AI technologies-like supervised learning, neural networks, and natural language processing-are used in cybersecurity and looks at some challenges, such as the need for high-quality data and ongoing model updates.It also touches on emerging trends like quantum-resistant AI and federated learning, which could strengthen cybersecurity even further.Overall, this paper highlights the vital role AI plays in helping organizations stay secure in the face of evolving cyber threats.