Revisiting the Cybersecurity Protection Myth

whitePaper | November 24, 2022

This white paper provides an overview of “Cybersecurity for Industry.” It describes the threats and hazards to which industrial automation systems and production plants are exposed and introduces concepts for minimizing these risks and instituting a level of protection that’s acceptable on economic as well as security grounds.

whitePaper | September 23, 2022

This survey was distributed by VMware User Group (VMUG) to their user base between July and September 2022. The responses were analyzed by the phoenixNAP team and key findings are presented in this document.

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 | 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 | June 22, 2023

As an integral component of your IT management system, N-able N-central® complements an organization’s existing security policies and infrastructures. N-able N-central consists of a number of components that were specifically designed to provide flexibility as well as to ensure the integrity of the security of the networks on which N-able Ncentral operates.

whitePaper | January 23, 2020

With the accumulation of big data, dramatic improvements in computing power, and continuous innovation in Machine Learning (ML) methods, Artificial Intelligence (AI) technologies such as image recognition, voice recognition, and natural language processing have become ubiquitous. Meanwhile, AI poses a significant impact on computer security: on the one hand, AI can be used to build defensive systems such as malware and network attack detection; on the other hand, AI might be exploited to launch more effective attacks.