Network Traffic Analysis (NTA): A Cybersecurity ‘Quick Win’

whitePaper | October 26, 2022

Intel platforms are designed with a strong built-in security foundation. This allows the ecosystem partners to help protect the platform data and to build more trusted applications.

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 | November 28, 2019

Safety Instrumented Systems (SIS) are designed to keep processes safe, especially during critical situations. With this concept in mind, it is paramount that the SIS components are not taken down due to cyber-threats. The purpose of this white paper is to explain, in detail, the Emerson approach for cybersecurity as well as the built-in security features available within the DeltaV SIS process safety system.

whitePaper | September 22, 2022

Ransomware is one of the fastest-growing and most costly cyber threats. According to a recent Perimeter 81 survey of over 500 IT professionals, 76% of respondents reported that their company experienced an attack within their organization.

whitePaper | September 26, 2022

This white paper presents an overview of the SPDM architecture, its goals, and a high-level summary of its use within a larger solution. The intended target audience for this white paper includes readers interested in understanding the use of SPDM to facilitate security of the communications among components of platform management subsystems.

whitePaper | November 18, 2022

Bot-generated attacks have risen in visibility, and defending against these attacks is now a priority for most organizations. Yet challenges persist in accurately identifying bot traffic; protecting a distributed, heterogeneous application environment from these attacks; and minimizing the impact to legitimate users while doing so. To address these issues, intelligent protection against sophisticated bots is a necessity. This should include strong analytics coupled with human expertise, a frictionless user experience, and consistent coverage across different architectures and platforms. F5 Distributed Cloud Bot Defense, built on Google Cloud, supports these requirements and can help prevent fraud and abuse against public-facing web applications.