Next Generation Endpoint Protection Buyer's Guide

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 | May 26, 2022

Ransomware attacks have become increasingly pervasive and pernicious. Many organizations have suffered from at least one ransomware attack, and many ransomware victims have unfortunately been left with no resort other than paying the ransom and hoping to recover their data.

whitePaper | December 22, 2022

Today’s digitally transformed organizations handle vast volumes of data that is at perpetual risk for loss and leakage, either intentionally through data breaches or unintentionally through employee errors. With cybercrime damages expected to reach $10.5 trillion annually by 2025, 1 organizations must protect their threat surface holistically.

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.

whitePaper | November 4, 2022

The Industrial Internet of Things (IIoT) is a relatively new computing paradigm that combines machine learning (ML), artificial intelligence (AI), remote sensors, and device-control applications (or “apps”) to help businesses and industry achieve more efficient and reliable operations. In the oil and gas field, IIoT is used for a variety of purposes—from fully autonomous pump and valve control to remote sensing of security breaches at isolated wellsites.