In order to truly unlock the potential of boosting cybersecurity with anomaly detection, it’s important to put AI and ML algorithms at the heart of the system.

The detection of source code plagiarism is a rapidly evolving field that addresses the challenge of identifying unacknowledged copying in computer programming. Researchers employ a combination of ...

Security researchers at ReversingLabs have discovered a novel attack that used compiled Python code to evade detection. According to ReversingLabs reverse engineer Karlo Zanki, this could be the first ...

In this study, we explore an image-based method to automate the manual anomaly detection process on quality control plots using deep learning. To do this we trained a Convolutional Neural Network (CNN ...