using their machine-learning-trained algorithm, assessed how much of a threat they represent based on how they're described. They found that Twitter can not only predict the majority of security ...

The process of collecting and examining so much security data and then feeding it into the graph relies heavily on machine learning, and it’s something that cannot physically be done by humans, Rains ...

addressing the growing complexity and volume of security data. Padamati's research also explores using behavioral analytics and biometrics powered by machine learning. These techniques establish ...

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle ... to ...