Data Leakage Worldwide: The High Cost of Insider Threats

whitePaper | November 24, 2022

In recent years, the necessity to create and maintain dozens or hundreds of online accounts with logins and passwords has become more and more prominent, especially with remote work on the rise and internet usage at an all-time high. Nothing is more secure than making sure that every one of your accounts that you create is using a unique or randomly generated password, but where do you keep track of all of these passwords, and how can you ensure that your password security is up to par?

whitePaper | October 26, 2022

DeltaV™ Mobile provides read-only access to process data and alarms on mobile devices. The solution includes a combination of software and hardware integrated with your existing network

whitePaper | June 23, 2023

The increasing reliance on digital technology has made cybersecurity a critical concern for organizations worldwide. While technological advancements have provided businesses with unprecedented opportunities, they have also exposed them to a myriad of cyber threats. In this context, human error has emerged as a significant vulnerability. While an overwhelming majority of the human error related wrong decisions are unintentional, they can happen to anyone. This whitepaper aims to provide a comprehensive approach to closing the human error gap in cybersecurity, focusing on both cybersecurity awareness training and proactive security measures that minimize the need for users to be cyber smart.

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 | August 11, 2022

SecOps teams in the US and UK are being asked to do more with less, leading to higher stress levels that impact both their work and personal lives. The growing risk from cyber attacks is also compounded by significant recruitment and retention issues within cybersecurity.

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.