Malware Analysis

In an era where cyberattacks are becoming increasingly sophisticated and frequent, driven by malicious actors leveraging advanced technologies like AI, the importance of bolstering cybersecurity efforts in Canada has never been more paramount. This urgent need for increased public sector investment

Can Zero-Day Detection in IoT Be Achieved with Advanced AI Techniques? The rapid development of Internet of Things (IoT) networks has significantly amplified their vulnerability to cyber-attacks, triggering an urgent need for more advanced security mechanisms. This article focuses on addressing

Artificial Intelligence (AI) and Machine Learning (ML) have significantly influenced various sectors, particularly cybersecurity, transforming both defensive and offensive strategies in the digital landscape. With the increasing sophistication of cyber threats, the potential benefits and risks of

The rapid advancement of artificial intelligence (AI) and machine learning (ML) has revolutionized various industries, including cybersecurity. While these technologies have significantly bolstered defenses, they have also provided cybercriminals with powerful tools to enhance their attack

The landscape of cybersecurity is ever-evolving, with new threats and sophisticated malware variants, like Cryptomine, continually emerging and challenging existing defense mechanisms. The critical need for robust malware analysis tools that offer quick, detailed insights into malicious activities

In October 2024, the malware analysis platform ANY.RUN unveiled significant upgrades to its Linux sandbox, aiming to bolster threat detection and malware analysis capabilities for its global user base of over 500,000 security professionals. These updates are designed to streamline and enhance