Using analytics-driven automation to target the biggest vulnerabilities. Issue 2 (February 2019)
- Record Type:
- Journal Article
- Title:
- Using analytics-driven automation to target the biggest vulnerabilities. Issue 2 (February 2019)
- Main Title:
- Using analytics-driven automation to target the biggest vulnerabilities
- Authors:
- Keef, Sean
- Abstract:
- Abstract : In 2017, the National Vulnerability Database published 14, 000 new Common Vulnerabilities and Exposures (CVEs) – more than double the amount published the previous year. 1 According to mid-year analysis, 2018 is on track to surpass even that record-shattering figure. 2 Organisations using traditional methods to deal with their own massive volumes of vulnerability occurrences will only see problems compound. To deal with vulnerabilities on a scale never seen before, organisations will have to shift to a better, threat-centric approach to vulnerability management. To deal with vulnerabilities on a scale never seen before, organisations need to shift to a better, threat-centric approach to vulnerability management. Threat-centric vulnerability management focuses heavily on intelligently prioritising vulnerabilities by risk rather than severity, analysing vulnerabilities in the context of exposure within the network, potential business impacts and the activity of exploits in the wild. And to do this effectively, especially with the current security skills gap, means automating, argues Sean Keef of Skybox Security.
- Is Part Of:
- Network security. Volume 2019:Issue 2(2019)
- Journal:
- Network security
- Issue:
- Volume 2019:Issue 2(2019)
- Issue Display:
- Volume 2019, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 2019
- Issue:
- 2
- Issue Sort Value:
- 2019-2019-0002-0000
- Page Start:
- 8
- Page End:
- 11
- Publication Date:
- 2019-02
- Subjects:
- Computer security -- Periodicals
Computer networks -- Security measures -- Periodicals
Electronic data processing departments -- Security measures -- Periodicals
Computers -- Access control -- Periodicals
005.805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13534858 ↗
https://www.magonlinelibrary.com/journal/nese ↗
http://www.elsevier.com/journals ↗
http://www.elsevierscitech.com/nl/NS/home.asp ↗ - DOI:
- 10.1016/S1353-4858(19)30021-2 ↗
- Languages:
- English
- ISSNs:
- 1353-4858
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6077.203970
British Library DSC - BLDSS-3PM
British Library HMNTS - Digital store
British Library HMNTS - ELD Digital store - Ingest File:
- 10515.xml