Ibm Spectrum Virtualize Considerations For Pci Dss Compliance PDF Download
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| Author | : Clarence Pouthier |
| Publisher | : IBM Redbooks |
| Total Pages | : 24 |
| Release | : 2017-10-03 |
| Genre | : Computers |
| ISBN | : 0738456365 |
Download IBM Spectrum Virtualize Considerations for PCI-DSS Compliance Book in PDF, ePub and Kindle
The Payment Card Industry Data Security Standard (PCI-DSS) is the global information security standard for organizations that process, store, or transmit data with any of the major credit card brands. More and more organizations are looking for compliance with this standard. This IBM® RedpaperTM describes how the features and functions of IBM SpectrumTM Virtualize help organizations towards compliance of their IT infrastructure on relevant areas of the PCI-DSS standard. IBM Spectrum VirtualizeTM is the software common to all IBM Storwize® products such as IBM SAN Volume Controller (SVC), IBM Storwize V5000 family, IBM Storwize V7000, IBM FlashSystem® V9000, and IBM Spectrum Virtualize as Software. Therefore, all recommendations in this paper equally apply to these storage products.
| Author | : Clarence Pouthier |
| Publisher | : |
| Total Pages | : 36 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
Download IBM Spectrum Virtualize Considerations for PCI-DSS Compliance Book in PDF, ePub and Kindle
The Payment Card Industry Data Security Standard (PCI-DSS) is the global information security standard for organizations that process, store, or transmit data with any of the major credit card brands. More and more organizations are looking for compliance with this standard. This IBM® RedpaperTM describes how the features and functions of IBM SpectrumTM Virtualize help organizations towards compliance of their IT infrastructure on relevant areas of the PCI-DSS standard. IBM Spectrum VirtualizeTM is the software common to all IBM Storwize® products such as IBM SAN Volume Controller (SVC), IBM Storwize V5000 family, IBM Storwize V7000, IBM FlashSystem® V9000, and IBM Spectrum Virtualize as Software. Therefore, all recommendations in this paper equally apply to these storage products.
| Author | : Bill Scales |
| Publisher | : IBM Redbooks |
| Total Pages | : 36 |
| Release | : 2023-07-03 |
| Genre | : Computers |
| ISBN | : 0738461245 |
Download IBM Storage Virtualize, IBM Storage FlashSystem, and IBM SAN Volume Controller Security Feature Checklist Book in PDF, ePub and Kindle
IBM® Storage Virtualize based storage systems are secure storage platforms that implement various security-related features, in terms of system-level access controls and data-level security features. This document outlines the available security features and options of IBM Storage Virtualize based storage systems. It is not intended as a "how to" or best practice document. Instead, it is a checklist of features that can be reviewed by a user security team to aid in the definition of a policy to be followed when implementing IBM FlashSystem®, IBM SAN Volume Controller, and IBM Storage Virtualize for Public Cloud. IBM Storage Virtualize features the following levels of security to protect against threats and to keep the attack surface as small as possible: The first line of defense is to offer strict verification features that stop unauthorized users from using login interfaces and gaining access to the system and its configuration. The second line of defense is to offer least privilege features that restrict the environment and limit any effect if a malicious actor does access the system configuration. The third line of defense is to run in a minimal, locked down, mode to prevent damage spreading to the kernel and rest of the operating system. The fourth line of defense is to protect the data at rest that is stored on the system from theft, loss, or corruption (malicious or accidental). The topics that are discussed in this paper can be broadly split into two categories: System security: This type of security encompasses the first three lines of defense that prevent unauthorized access to the system, protect the logical configuration of the storage system, and restrict what actions users can perform. It also ensures visibility and reporting of system level events that can be used by a Security Information and Event Management (SIEM) solution, such as IBM QRadar®. Data security: This type of security encompasses the fourth line of defense. It protects the data that is stored on the system against theft, loss, or attack. These data security features include Encryption of Data At Rest (EDAR) or IBM Safeguarded Copy (SGC). This document is correct as of IBM Storage Virtualize 8.5.3.
| Author | : Larry Coyne |
| Publisher | : IBM Redbooks |
| Total Pages | : 186 |
| Release | : 2018-11-27 |
| Genre | : Computers |
| ISBN | : 0738456845 |
Download IBM Private, Public, and Hybrid Cloud Storage Solutions Book in PDF, ePub and Kindle
This IBM® RedpaperTM publication takes you on a journey that surveys cloud computing to answer several fundamental questions about storage cloud technology. What are storage clouds? How can a storage cloud help solve your current and future data storage business requirements? What can IBM do to help you implement a storage cloud solution that addresses these needs? This paper shows how IBM storage clouds use the extensive cloud computing experience, services, proven technologies, and products of IBM to support a smart storage cloud solution designed for your storage optimization efforts. Clients face many common storage challenges and some have variations that make them unique. It describes various successful client storage cloud implementations and the options that are available to meet your current needs and position you to avoid storage issues in the future. IBM CloudTM Services (IBM Cloud Managed Services® and IBM SoftLayer®) are highlighted as well as the contributions of IBM to OpenStack cloud storage. This paper is intended for anyone who wants to learn about storage clouds and how IBM addresses data storage challenges with smart storage cloud solutions. It is suitable for IBM clients, storage solution integrators, and IBM specialist sales representatives.
| Author | : Turgut Aslan |
| Publisher | : IBM Redbooks |
| Total Pages | : 244 |
| Release | : 2016-03-09 |
| Genre | : Computers |
| ISBN | : 0738441422 |
Download Cloud Security Guidelines for IBM Power Systems Book in PDF, ePub and Kindle
This IBM® Redbooks® publication is a comprehensive guide that covers cloud security considerations for IBM Power SystemsTM. The first objectives of this book are to examine how Power Systems can fit into the current and developing cloud computing landscape and to outline the proven Cloud Computing Reference Architecture (CCRA) that IBM employs in building private and hybrid cloud environments. The book then looks more closely at the underlying technology and hones in on the security aspects for the following subsystems: IBM Hardware Management Console IBM PowerVM IBM PowerKVM IBM PowerVC IBM Cloud Manager with OpenStack IBM Bluemix This publication is for professionals who are involved in security design with regard to planning and deploying cloud infrastructures using IBM Power Systems.
| Author | : Felipe Knop |
| Publisher | : IBM Redbooks |
| Total Pages | : 116 |
| Release | : 2018-09-18 |
| Genre | : Computers |
| ISBN | : 0738457167 |
Download IBM Spectrum Scale Security Book in PDF, ePub and Kindle
Storage systems must provide reliable and convenient data access to all authorized users while simultaneously preventing threats coming from outside or even inside the enterprise. Security threats come in many forms, from unauthorized access to data, data tampering, denial of service, and obtaining privileged access to systems. According to the Storage Network Industry Association (SNIA), data security in the context of storage systems is responsible for safeguarding the data against theft, prevention of unauthorized disclosure of data, prevention of data tampering, and accidental corruption. This process ensures accountability, authenticity, business continuity, and regulatory compliance. Security for storage systems can be classified as follows: Data storage (data at rest, which includes data durability and immutability) Access to data Movement of data (data in flight) Management of data IBM® Spectrum Scale is a software-defined storage system for high performance, large-scale workloads on-premises or in the cloud. IBM SpectrumTM Scale addresses all four aspects of security by securing data at rest (protecting data at rest with snapshots, and backups and immutability features) and securing data in flight (providing secure management of data, and secure access to data by using authentication and authorization across multiple supported access protocols). These protocols include POSIX, NFS, SMB, Hadoop, and Object (REST). For automated data management, it is equipped with powerful information lifecycle management (ILM) tools that can help administer unstructured data by providing the correct security for the correct data. This IBM RedpaperTM publication details the various aspects of security in IBM Spectrum ScaleTM, including the following items: Security of data in transit Security of data at rest Authentication Authorization Hadoop security Immutability Secure administration Audit logging Security for transparent cloud tiering (TCT) Security for OpenStack drivers Unless stated otherwise, the functions that are mentioned in this paper are available in IBM Spectrum Scale V4.2.1 or later releases.
| Author | : Singh, Surjit |
| Publisher | : IGI Global |
| Total Pages | : 563 |
| Release | : 2019-03-29 |
| Genre | : Computers |
| ISBN | : 1522573364 |
Download Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization Book in PDF, ePub and Kindle
ICT technologies have contributed to the advances in wireless systems, which provide seamless connectivity for worldwide communication. The growth of interconnected devices and the need to store, manage, and process the data from them has led to increased research on the intersection of the internet of things and cloud computing. The Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization is a pivotal reference source that provides the latest research findings and solutions for the design and augmentation of wireless systems and cloud computing. The content within this publication examines data mining, machine learning, and software engineering, and is designed for IT specialists, software engineers, researchers, academicians, industry professionals, and students.
| Author | : Whei-Jen Chen |
| Publisher | : IBM Redbooks |
| Total Pages | : 472 |
| Release | : 2015-04-14 |
| Genre | : Computers |
| ISBN | : 0738439355 |
Download Deployment Guide for InfoSphere Guardium Book in PDF, ePub and Kindle
IBM® InfoSphere® Guardium® provides the simplest, most robust solution for data security and data privacy by assuring the integrity of trusted information in your data center. InfoSphere Guardium helps you reduce support costs by automating the entire compliance auditing process across heterogeneous environments. InfoSphere Guardium offers a flexible and scalable solution to support varying customer architecture requirements. This IBM Redbooks® publication provides a guide for deploying the Guardium solutions. This book also provides a roadmap process for implementing an InfoSphere Guardium solution that is based on years of experience and best practices that were collected from various Guardium experts. We describe planning, installation, configuration, monitoring, and administrating an InfoSphere Guardium environment. We also describe use cases and how InfoSphere Guardium integrates with other IBM products. The guidance can help you successfully deploy and manage an IBM InfoSphere Guardium system. This book is intended for the system administrators and support staff who are responsible for deploying or supporting an InfoSphere Guardium environment.
| Author | : Joseph Dain |
| Publisher | : IBM Redbooks |
| Total Pages | : 108 |
| Release | : 2020-08-11 |
| Genre | : Computers |
| ISBN | : 073845902X |
Download Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover Book in PDF, ePub and Kindle
This IBM® Redpaper publication explains how IBM Spectrum® Discover integrates with the IBM Watson® Knowledge Catalog (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to make the enriched catalog content in IBM Spectrum Discover along with the associated data available in WKC and IBM CP4D. From an end-to-end IBM solution point of view, IBM CP4D and WKC provide state-of-the-art data governance, collaboration, and artificial intelligence (AI) and analytics tools, and IBM Spectrum Discover complements these features by adding support for unstructured data on large-scale file and object storage systems on premises and in the cloud. Many organizations face challenges to manage unstructured data. Some challenges that companies face include: Pinpointing and activating relevant data for large-scale analytics, machine learning (ML) and deep learning (DL) workloads. Lacking the fine-grained visibility that is needed to map data to business priorities. Removing redundant, obsolete, and trivial (ROT) data and identifying data that can be moved to a lower-cost storage tier. Identifying and classifying sensitive data as it relates to various compliance mandates, such as the General Data Privacy Regulation (GDPR), Payment Card Industry Data Security Standards (PCI-DSS), and the Health Information Portability and Accountability Act (HIPAA). This paper describes how IBM Spectrum Discover provides seamless integration of data in IBM Storage with IBM Watson Knowledge Catalog (WKC). Features include: Event-based cataloging and tagging of unstructured data across the enterprise. Automatically inspecting and classifying over 1000 unstructured data types, including genomics and imaging specific file formats. Automatically registering assets with WKC based on IBM Spectrum Discover search and filter criteria, and by using assets in IBM CP4D. Enforcing data governance policies in WKC in IBM CP4D based on insights from IBM Spectrum Discover, and using assets in IBM CP4D. Several in-depth use cases are used that show examples of healthcare, life sciences, and financial services. IBM Spectrum Discover integration with WKC enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. The integration improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.
| Author | : Joseph Dain |
| Publisher | : IBM Redbooks |
| Total Pages | : 152 |
| Release | : 2019-10-01 |
| Genre | : Computers |
| ISBN | : 0738457868 |
Download IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage Book in PDF, ePub and Kindle
This IBM® Redpaper publication provides a comprehensive overview of the IBM Spectrum® Discover metadata management software platform. We give a detailed explanation of how the product creates, collects, and analyzes metadata. Several in-depth use cases are used that show examples of analytics, governance, and optimization. We also provide step-by-step information to install and set up the IBM Spectrum Discover trial environment. More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data such as: Pinpointing and activating relevant data for large-scale analytics Lacking the fine-grained visibility that is needed to map data to business priorities Removing redundant, obsolete, and trivial (ROT) data Identifying and classifying sensitive data IBM Spectrum Discover is a modern metadata management software that provides data insight for petabyte-scale file and Object Storage, storage on premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage. IBM Spectrum Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.
