AI-driven threat detection and response

AI-powered security systems are transforming how organisations detect, analyse, and respond to cyber threats. This collection showcases advances in machine learning, deep learning, and autonomous decision-making that enhance resilience against evolving attacks.

Published in Computational Sciences

Go to the profile of Biju Issac
Biju Issac
Associate Professor, Northumbria University, UK
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AI-driven threat detection and response sits at the forefront of modern cybersecurity, enabling continuous monitoring, rapid anomaly detection, and automated mitigation of increasingly sophisticated attacks. As digital ecosystems expand, conventional defences alone are no longer sufficient. This collection highlights innovative approaches — from behavioural analytics and graph-based models to reinforcement-learning-enabled autonomous response — that can reshape how organisations secure critical systems. By contributing to this collection, you can help accelerate the development of adaptive, explainable, and scalable cyber-defence technologies that are vital to global security and technological trust.

Learn more about the collection and how to contribute: https://go.nature.com/48y4KHc

Go to the profile of Biju Issac
Biju Issac
Associate Professor, Northumbria University, UK

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Cyber-Physical Systems
Mathematics and Computing > Computer Science > Computer Engineering and Networks > Cyber-Physical Systems
Mobile and Network Security
Mathematics and Computing > Computer Science > Data and Information Security > Mobile and Network Security
Artificial Intelligence
Mathematics and Computing > Computer Science > Artificial Intelligence
Machine Learning
Mathematics and Computing > Computer Science > Artificial Intelligence > Machine Learning

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