Six costly data protection gaps in Microsoft Office 365 and how to close them

whitePaper | January 18, 2023

Row Level Security (RLS) in Tableau refers to restricting the rows of data a certain user can see in a given workbook or data source at the time they view the data. It contrasts with permissions within Tableau Server (or Tableau Online), which are used to control access to content and feature functionality.

whitePaper | May 5, 2022

The purpose of this document is to help technically-oriented professionals understand the security-related value BeyondTrust can bring to your organization. BeyondTrust can help your organization stay secure and compliant, while improving the efficiency and success of your organization with a better user experience.

whitePaper | October 31, 2022

GE Gas Power has developed a product security program based on industry-leading standards, encompassing end-toend cybersecurity through the entire software development lifecycle in conjunction with engineering, sourcing, and vulnerability and incident response. As part of this program, we have also created the Gas Power Cybersecurity Portal, a central, publicly available resource regarding cybersecurity at GE Gas Power.

whitePaper | October 29, 2021

Telecommunications equipment and systems, as critical infrastructure for a nation, have been widely valued by governments, operators, and users worldwide. Currently, the deployment of 5G has begun. Featuring faster speed, greater network capacity, and ultra-low latency, 5G will redefine the operation of critical infrastructure from the factory floor to the cloud. Its new technologies including Software-Defined Networking (SDN), Network Function Virtualization (NFV), Multi-access Edge Computing (MEC), and network slicing are paving the way for smart cities, remote surgery, autonomous vehicles, and large-scale Internet of Things (IoT) connectivity.

whitePaper | December 4, 2019

This paper describes a distributed anomaly detection approach designed to accurately track actions performed by adversaries across a network. The illustrated approach involves running multiple machine learning models on both endpoints and the network as well as on a centralized backend, and includes communication and replication of learned states between these models.

whitePaper | February 27, 2020

According to research from ESG and the Information Systems Security Association (ISSA), 91% of cybersecurity professionals believe that most organizations are either extremely or somewhat vulnerable to a significant cyber-attack or data breach.1 This level of cyber-risk demands immediate attention and action from CISOs, CIOs, and business executives. As a result, 62% of organizations plan to increase cybersecurity spending in 2020.2 Here’s the problem: Increasing security budgets alone isn’t enough. CISOs need quick and easy wins that can greatly bolster security efficacy and streamline operations without demanding massive projects and vast resources. There is a lot of work ahead. This white paper concludes.