CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...

Mosyle, a popular Apple device management and security firm, has exclusively shared details with 9to5Mac on a previously unknown ...

Cyber resilience comes of age when it becomes a practiced capability—where governance, operations, technology, and people ...

A new attempt to influence AI-driven security scanners has been identified in a malicious npm package. The package, eslint-plugin-unicorn-ts-2 version 1.2.1, appeared to be a TypeScript variant of the ...

Threat actors are testing malware that incorporates large language models (LLMs) to create malware that can evade detection by security tools. In an analysis published earlier this month, Google's ...

Scientists at the U.S. Naval Research Laboratory (NRL), working with Florida International University's (FIU) Global Forensic and Justice Center, have demonstrated a new method for detecting trace ...

The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes ...

This work presents the design and implementation of a new malware detection system for Portable Executable (PE) files in the Windows operating system using machine learning methods. The system uses ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

A new Android banking Trojan called Herodotus mimics human behavior, such as random keystroke delays, to evade detection tools. The malware employs device-takeover tactics, including the abuse of ...

A new Android malware family, Herodotus, uses random delay injection in its input routines to mimic human behavior on mobile devices and evade timing-based detection by security software. Herodotus, ...