Ibm Spectrum Scale Functionality To Support Gdpr Requirements

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Ibm Spectrum Scale Functionality To Support Gdpr Requirements

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Author : Sandeep R. Patil
language : en
Publisher: IBM Redbooks
Release Date : 2018-04-24

Ibm Spectrum Scale Functionality To Support Gdpr Requirements written by Sandeep R. Patil and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-24 with Computers categories.

The role of the IT solutions is to enforce the correct handling of personal data using processes developed by the establishment. Each element of the solution stack must address the objectives as appropriate to the data that it handles. Typically, personal data exists either in the form of structured data (like databases) or unstructured data (like files, text, documents, and so on.). This IBM Redbooks publication specifically deals with unstructured data and storage systems used to host unstructured data. For unstructured data storage in particular, some key attributes enable the overall solution to support compliance with the EU General Data Protection Regulation (GDPR). Because personal data subject to GDPR is commonly stored in an unstructured data format, a scale out file system like IBM Spectrum Scale provides essential functions to support GDPR requirements. This paper highlights some of the key compliance requirements and explains how IBM Spectrum Scale helps to address them.

Ibm Spectrum Scale Functionality To Support Gdpr Requirements

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Author : Sandeep R. Patil
language : en
Publisher:
Release Date : 2018

Ibm Spectrum Scale Functionality To Support Gdpr Requirements written by Sandeep R. Patil and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Business categories.

Ibm Spectrum Scale And Ibm Storediq Identifying And Securing Your Business Data To Support Regulatory Requirements

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Author : Sandeep R Patil
language : en
Publisher: IBM Redbooks
Release Date : 2019-01-11

Ibm Spectrum Scale And Ibm Storediq Identifying And Securing Your Business Data To Support Regulatory Requirements written by Sandeep R Patil and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-11 with Computers categories.

Having the appropriate storage for hosting business critical data and the proper analytic software for deep inspection of that data is becoming necessary to get deeper insights into the data so that users can categorize which data qualifies for compliance. This IBM® RedpaperTM publication explains why the storage features of IBM SpectrumTM Scale, when combined with the data analysis and categorization features of IBM StoredIQ®, provide an excellent platform for hosting unstructured business data that is subject to regulatory compliance guidelines, such as General Data Protection Regulation (GDPR). In this paper, we describe how IBM StoredIQ can be used to identify files that are stored in an IBM Spectrum ScaleTM file system that include personal information, such as phone numbers. These files can be secured in another file system partition by encrypting those files by using IBM Spectrum Scale functions. Encrypting files prevents unauthorized access to those files because only users that can access the encryption key can decrypt those files. This paper is intended for chief technology officers, solution, and security architects and systems administrators.

Ibm Spectrum Scale And Ibm Storediq

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Author : Sandeep R. Patil
language : en
Publisher:
Release Date : 2019

Ibm Spectrum Scale And Ibm Storediq written by Sandeep R. Patil and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Cloud computing categories.

Having the appropriate storage for hosting business critical data and the proper analytic software for deep inspection of that data is becoming necessary to get deeper insights into the data so that users can categorize which data qualifies for compliance. This IBM® RedpaperTM publication explains why the storage features of IBM SpectrumTM Scale, when combined with the data analysis and categorization features of IBM StoredIQ®, provide an excellent platform for hosting unstructured business data that is subject to regulatory compliance guidelines, such as General Data Protection Regulation (GDPR). In this paper, we describe how IBM StoredIQ can be used to identify files that are stored in an IBM Spectrum ScaleTM file system that include personal information, such as phone numbers. These files can be secured in another file system partition by encrypting those files by using IBM Spectrum Scale functions. Encrypting files prevents unauthorized access to those files because only users that can access the encryption key can decrypt those files. This paper is intended for chief technology officers, solution, and security architects and systems administrators.

Securing Data On Threat Detection By Using Ibm Spectrum Scale And Ibm Qradar An Enhanced Cyber Resiliency Solution

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Author : Boudhayan Chakrabarty
language : en
Publisher: IBM Redbooks
Release Date : 2021-09-13

Securing Data On Threat Detection By Using Ibm Spectrum Scale And Ibm Qradar An Enhanced Cyber Resiliency Solution written by Boudhayan Chakrabarty and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-13 with Computers categories.

Having appropriate storage for hosting business-critical data and advanced Security Information and Event Management (SIEM) software for deep inspection, detection, and prioritization of threats has become a necessity for any business. This IBM® Redpaper publication explains how the storage features of IBM Spectrum® Scale, when combined with the log analysis, deep inspection, and detection of threats that are provided by IBM QRadar®, help reduce the impact of incidents on business data. Such integration provides an excellent platform for hosting unstructured business data that is subject to regulatory compliance requirements. This paper describes how IBM Spectrum Scale File Audit Logging can be integrated with IBM QRadar. Using IBM QRadar, an administrator can monitor, inspect, detect, and derive insights for identifying potential threats to the data that is stored on IBM Spectrum Scale. When the threats are identified, you can quickly act on them to mitigate or reduce the impact of incidents. We further demonstrate how the threat detection by IBM QRadar can proactively trigger data snapshots or cyber resiliency workflow in IBM Spectrum Scale to protect the data during threat. This third edition has added the section "Ransomware threat detection", where we describe a ransomware attack scenario within an environment to leverage IBM Spectrum Scale File Audit logs integration with IBM QRadar. This paper is intended for chief technology officers, solution engineers, security architects, and systems administrators. This paper assumes a basic understanding of IBM Spectrum Scale and IBM QRadar and their administration.

Hipaa Compliance For Healthcare Workloads On Ibm Spectrum Scale

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Author : Sandeep R. Patil
language : en
Publisher: IBM Redbooks
Release Date : 2020-03-16

Hipaa Compliance For Healthcare Workloads On Ibm Spectrum Scale written by Sandeep R. Patil and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-16 with Computers categories.

When technology workloads process healthcare data, it is important to understand Health Insurance Portability and Accountability Act (HIPAA) compliance and what it means for the technology infrastructure in general and storage in particular. HIPAA is US legislation that was signed into law in 1996. HIPAA was enacted to protect health insurance coverage, but was later extended to ensure protection and privacy of electronic health records and transactions. In simple terms, it was instituted to modernize the exchange of healthcare information and how the Personally Identifiable Information (PII) that is maintained by the healthcare and healthcare-related industries are safeguarded. From a technology perspective, one of the core requirements of HIPAA is the protection of Electronic Protected Health Information (ePHIPer through physical, technical, and administrative defenses. From a non-compliance perspective, the Health Information Technology for Economic and Clinical Health Act (HITECH) added protections to HIPAA and increased penalties $100 USD - $50,000 USD per violation. Today, HIPAA-compliant solutions are a norm in the healthcare industry worldwide. This IBM® Redpaper publication describes HIPPA compliance requirements for storage and how security enhanced software-defined storage is designed to help meet those requirements. We correlate how Software Defined IBM Spectrum® Scale security features address the safeguards that are specified by the HIPAA Security Rule.

Cataloging Unstructured Data In Ibm Watson Knowledge Catalog With Ibm Spectrum Discover

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Author : Joseph Dain
language : en
Publisher: IBM Redbooks
Release Date : 2020-08-11

Cataloging Unstructured Data In Ibm Watson Knowledge Catalog With Ibm Spectrum Discover written by Joseph Dain and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Computers categories.

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.

Ibm Spectrum Scale Immutability Introduction Configuration Guidance And Use Cases

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Author : Nils Haustein
language : en
Publisher: IBM Redbooks
Release Date : 2021-06-09

Ibm Spectrum Scale Immutability Introduction Configuration Guidance And Use Cases written by Nils Haustein and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-09 with Computers categories.

This IBM RedpaperTM publication introduces the IBM Spectrum Scale immutability function. It shows how to set it up and presents different ways for managing immutable and append-only files. This publication also provides guidance for implementing IT security aspects in an IBM Spectrum Scale cluster by addressing regulatory requirements. It also describes two typical use cases for managing immutable files. One use case involves applications that manage file immutability; the other use case presents a solution to automatically set files to immutable within a IBM Spectrum Scale immutable fileset.

Securing Ibm Spectrum Scale With Qradar And Ibm Cloud Pak For Security

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Author : IBM
language : en
Publisher: IBM Redbooks
Release Date : 2021-12-20

Securing Ibm Spectrum Scale With Qradar And Ibm Cloud Pak For Security written by IBM and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-20 with Computers categories.

Cyberattacks are likely to remain a significant risk for the foreseeable future. Attacks on organizations can be external and internal. Investing in technology and processes to prevent these cyberattacks is the highest priority for these organizations. Organizations need well-designed procedures and processes to recover from attacks. The focus of this document is to demonstrate how the IBM® Unified Data Foundation (UDF) infrastructure plays an important role in delivering the persistence storage (PV) to containerized applications, such as IBM Cloud® Pak for Security (CP4S), with IBM Spectrum® Scale Container Native Storage Access (CNSA) that is deployed with IBM Spectrum scale CSI driver and IBM FlashSystem® storage with IBM Block storage driver with CSI driver. Also demonstrated is how this UDF infrastructure can be used as a preferred storage class to create back-end persistent storage for CP4S deployments. We also highlight how the file I/O events are captured in IBM QRadar® and offenses are generated based on predefined rules. After the offenses are generated, we show how the cases are automatically generated in IBM Cloud Pak® for Security by using the IBM QRadar SOAR Plugin, with a manually automated method to log a case in IBM Cloud Pak for Security. This document also describes the processes that are required for the configuration and integration of the components in this solution, such as: Integration of IBM Spectrum Scale with QRadar QRadar integration with IBM Cloud Pak for Security Integration of the IBM QRadar SOAR Plugin to generate automated cases in CP4S. Finally, this document shows the use of IBM Spectrum Scale CNSA and IBM FlashSystem storage that uses IBM block CSI driver to provision persistent volumes for CP4S deployment. All models of IBM FlashSystem family are supported by this document, including: FlashSystem 9100 and 9200 FlashSystem 7200 and FlashSystem 5000 models FlashSystem 5200 IBM SAN Volume Controller All storage that is running IBM Spectrum Virtualize software

Securing Data On Threat Detection Using Ibm Spectrum Scale And Ibm Qradar

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Author : Boudhayan Chakrabarty
language : en
Publisher:
Release Date : 2020

Securing Data On Threat Detection Using Ibm Spectrum Scale And Ibm Qradar written by Boudhayan Chakrabarty and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Having appropriate storage for hosting business-critical data and advanced Security Information and Event Management (SIEM) software for deep inspection, detection, and prioritization of threats has become a necessity for any business. This IBM® Redpaper publication explains how the storage features of IBM Spectrum® Scale, when combined with the log analysis, deep inspection, and detection of threats that are provided by IBM QRadar®, help reduce the impact of incidents on business data. Such integration provides an excellent platform for hosting unstructured business data that is subject to regulatory compliance requirements. This paper describes how IBM Spectrum Scale File Audit Logging can be integrated with IBM QRadar. Using IBM QRadar, an administrator can monitor, inspect, detect, and derive insights for identifying potential threats to the data that is stored on IBM Spectrum Scale. When the threats are identified, you can quickly act on them to mitigate or reduce the impact of incidents. We further demonstrate how the threat detection by IBM QRadar can proactively trigger data snapshots or cyber resiliency workflow in IBM Spectrum Scale to protect the data during threat. This paper is intended for chief technology officers, solution engineers, security architects, and systems administrators.