Enhanced cyber security with IBM Spectrum Scale and IBM QRadar : accurately detecting and prioritizing threats to your data / Boudhayan Chakrabarty [and three others].

Author
Chakrabarty, Boudhayan [Browse]
Format
Book
Language
English
Εdition
First edition.
Published/​Created
[Poughkeepsie, New York] : IBM Corporation, IBM Redbooks, [2019]
Description
1 online resource (1 volume) : illustrations.

Details

Subject(s)
Issuing body
Author
Series
IBM redpaper. [More in this series]
Summary note
Having appropriate storage for hosting business-critical data and advanced Security Information and Event Management software for deep inspection, detection, and prioritization of threats has become a necessity of any business. This IBM® Redpaper publication explains how the storage features of IBM Spectrum® Scale, combined with the log analysis, deep inspection, and detection of threats provided by IBM QRadar®, helps 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 QRadar, an administrator can monitor, inspect, detect, and derive insights for identifying potential threats to the data stored on IBM Spectrum Scale. When the threats are identified, you can quickly act on them to mitigate or reduce the impact of incidents. This paper is intended for chief technology officers, solution engineers, security architects, and systems administrators. NOTE: This paper assumes a basic understanding of IBM Spectrum Scale, IBM QRadar, and their administration.
Notes
  • Date of publication from resource description page.
  • Number on back cover: REDP-5560-00.
  • "In partnership with IBM Academy of Technology."
  • "Security. Storage."
Bibliographic references
Includes bibliographical references.
Source of description
Description based on online resource; title from cover (Safari, viewed October 23, 2019).
ISBN
0-7384-5801-5
OCLC
1124929406
Statement on language in description
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