Security-By-Design for LLM-Based Code Generation: Leveraging Internal Representations for Concept-Driven Steering Mechanisms

Large Language Models LLMs show remarkable capabilities in understanding natural language and generating complex code. However, as practitioners adopt CodeLLMs for increasingly critical development tasks, research reveals that these models frequently generate functionally correct yet insecure cod...

Analyzing the FUD Malware Obfuscation Engine BatCloak

We look into BatCloak engine, its modular integration into modern malware, proliferation mechanisms, and interoperability implications as malicious actors take advantage of its fully undetectable FUD capabilities...