Cybersecurity and Cyberwarfare 2011

whitePaper | March 14, 2023

This document describes data that is exchanged between the Hardware Management Console (HMC) and the IBM Service Delivery Center (SDC). In addition, it also covers the methods and protocols for this exchange. This includes the configuration of “Call Home” (Electronic Service Agent) on the HMC for automatic hardware error reporting. All the functionality that is described herein refers to Power Systems HMC and the HMC that is used for the IBM Storage System DS8000.

whitePaper | September 29, 2022

As the amount of system log data grows exponentially, security teams and threat hunters routinely must limit how much they can collect and how long they can store it because of the performance limitations and costs associated with traditional log management tools.

whitePaper | February 16, 2023

There are three key elements in the world of Internet of Things cyber security. Standards are created in order to harmonize a common set of requirements. Regulations are created in order to incentivize manufacturers to adopt cybersecurity hygiene practices so as to protect societies and increase their cyber-resilience. Labels are created in order to provide visibility to consumers.

whitePaper | November 10, 2019

We are living in an era of digital disruption. Multiple industries are being disrupted, or fear being disrupted in the near future. Business models are evolving to cater to the dynamic markets and digital transformation that seems to be the answer to changing business models. Digital transformation is rapidly becoming a key priority in most industries, as organizations adapt to changing markets by leveraging technologies to build IT-centric business models. In general, organizations are using digital transformation to reach their goals of achieving greater agility, improving operational efficiency, improving customer experiences, and developing new revenue streams.

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.

whitePaper | November 29, 2022

We live in an intensely data-driven world, where data loss is unacceptable and quick access to information with real-time analytics driven by machine learning and artificial intelligence is at the core of decision making. Effective data protection is a critical component of every successful business. Now, more than ever, organizations are looking at their data protection strategies through a new lens. They are evaluating old practices, with a focus on making data protection a hands-off, efficient solution they can rely on without applying extensive IT resources. This can be accomplished through standardizing on a vendor with a comprehensive data protection offering, single management capabilities, and support across a diverse network of systems on-premises, in public and private data centers, in multiple clouds, and in remote office/branch offices (ROBO) and edge environments.