That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

The national spy watchdog is reviewing the use and governance of artificial intelligence by Canada’s security agencies.

Overview: AI is transforming cybersecurity from reactive defense into predictive, autonomous, and intelligence-driven ...

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With cybercrime damages projected to exceed $10.5 trillion annually, enterprises face ...

Discover the top antivirus software solutions for Android devices in 2026, designed to protect enterprises from sophisticated mobile threats, including ransomware and phishing. Get the insights you ...

A new malware-as-a-service (MaaS) information stealer named SantaStealer is being advertised on Telegram and hacker forums as operating in memory to avoid file-based detection. According to security ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

As AI, cloud and automation accelerate, security leaders warn of emerging cyberthreats that exploit speed, scale and ...

Want to shield yourself against ransomware? Accelerate your recovery times. It starts with effective backup storage ...