Artificial Intelligence (AI) is transforming businesses—automating tasks, powering analytics, and reshaping customer interactions. But like any powerful tool, AI is a double-edged sword. While some ...

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 ... do ...

Microsoft's Azure Machine Learning ... into web or mobile applications, enabling real-time predictions with minimal effort. Additionally, Azure ML supports CI/CD pipelines, allowing for automated ...

Machine learning enhances the detection rates for phishing by ... attachments and URLs to prevent phishing attacks. One of the ways web app admins can minimize the damage of a data breach in ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal ... SD events that were not identified using human scoring, likely due to a ...

This review discusses the current state of multicancer early detection tests, the role of machine learning in their development, and their implications for oncology practice and patient care. THE ...

Traditional methods, like the Commix tool, offered early detection capabilities but lacked real-time detection functions. Later studies integrated machine learning ... XSS attacks while remaining ...

In this paper, we focus on detecting XSS attacks using six different machine learning classifiers that classify web pages into two categories: XSS or non-XSS based on several extracted features. With ...