Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to ...

Abstract: The rapid growth of malware and cyber threats demands intelligent methods for network traffic analysis. While machine learning (ML) techniques have shown high potential, their success is ...

A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised Windows systems. LameHug was discovered by Ukraine’s national cyber ...

As the proportion of encrypted traffic increases, it becomes increasingly challenging for network attacks to be discovered. Although existing methods combine unencrypted statistical features, e.g., ...

A new variant of the Konfety Android malware emerged with a malformed ZIP structure along with other obfuscation methods that allow it to evade analysis and detection. Konfety poses as a legitimate ...

In what might well be a portent of things to come, researchers have discovered the first known malware sample in the wild that attempts to evade AI-powered security tools by essentially prompting them ...

Cybercriminals are constantly finding new ways to steal your data. As people become more aware of common threats like phishing links, fake websites, fraudulent emails and impersonation scams, ...

Abstract: Malicious software, referred to as malware, continues to grow in sophistication. Past proposals for malware detection have primarily focused on software-based detectors which are vulnerable ...