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
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.