Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Information privacy is a critical design feature for any exchange system, with privacy-
preserving applications requiring, most of the time, the identification and labelling of …

The amount of data for processing and categorization grows at an ever increasing rate. At
the same time the demand for collaboration and transparency in organizations, government …

Training a machine learning (ML) model from raw information security (InfoSec) data
involves utilizing distinct data types and input formats that require unique considerations …

The US Government has been the target for cyberattacks from all over the world. Just
recently, former President Obama accused the Russian government of the leaking emails to …

Many security related big data problems, including document, traffic, and system log
analysis require analysis of unstructured text. Consider the task of analyzing company …

Sensitive information is a classified type of content that should not be disclosed to the public
and that can harm the owner of the information if it is disclosed. To protect disclose of …

Document security classification is the foundation of security management for the sensitive
and confidential information. Different with the general document classification, the security …

With the continuously increasing number of data leakage security incidents caused by
organization insiders, current security activities cannot predict a data leakage. Because such …

Machine Learning (ML) for information security (InfoSec) utilizes distinct data types and
formats which require different treatments during optimization/training on raw data. In this …