What Executives Need to Know About Security Testing Tools and Open Source

whitePaper | January 28, 2020

This year there are some common themes that endure, so we’ll highlight these as “work in progress”. Transformations often take longer than 12 months to be identifi ed as necessary, to be executed and to become established. However, there are other themes emerging through a combination of drivers from audit, compliance security and governance that are now showing signs of infl uencing the way that cyber risks are managed in a much shorter timescale.

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 | December 3, 2019

Healthcare information is unique and personal to us all.Indeed,the patient is at the center of healthcare, as it would not exist if the patient did not exist. Bits and bytes in today’s digital world have real significance when it come to patient care lives are on the line.

whitePaper | December 22, 2022

MX’s approach to security includes a defense-in-depth strategy. This strategy is supported by an established, operational MX Security Program, with a robust suite of governing policies, processes, security controls, and procedures to achieve MX’s security strategy. MX enacts defense in depth by hardening each layer of MX’s infrastructure and supporting processes.

whitePaper | September 16, 2022

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 | September 1, 2022

Artificial Intelligence (AI) is not a recently discovered field. Since the beginning of the computer science discipline, in the late 1950s, AI has drawn a lot of attention in the international scientific community and since then it has represented a field of study which has triggered diverse and numerous research activities.