A three-person agency received a $14,000 AWS bill in one day after attackers extracted static access keys and burned Claude ...

Australia's enterprise sector faces rising risks from AI-driven identity attacks. Learn what Australian challenged ...

A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes ...

A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated learning and blockchain to enable secure, transparent, and collaborative ...

With Internet of Things (IoT) devices projected to surpass tens of billions globally, traditional rule-based security systems are struggling to cope with the scale, diversity, and dynamic nature of ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...

The field of cybersecurity is being reshaped by rapid advancements in automation, AI, and exponentially increasing data complexity. AI-based machine-learning systems protect an array of systems, ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Artificial Intelligence (AI) refers to computer programs designed to perform tasks that typically require human intelligence. These include learning, problem-solving, decision-making, and perception.

Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...