SecurityBrief Asia - Technology news for CISOs & cybersecurity decision-makers

Stories by Mark Jobbins

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Pure Storage's six essential technology trends to watch in 2022

Wed, 19th Jan 2022
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storage
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data protection
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converged infrastructure
While COVID-19 marked 2020 and 2021, 2022 is set to be a year of recovery with organisations settling into new ways of working.
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Exploring the move from virtual machines to containerisation

Thu, 25th Nov 2021
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storage
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virtualisation
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data analytics
Containerisation is becoming the core technology for running business applications faster with greater reliability in the era of digital transformation.
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How tech debt from legacy solutions will impact business' bottom line

Thu, 16th Sep 2021
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saas
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storage
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digital transformation
Tech debt is increasing cyber risk and impacting organisational performance, with 40% of IT balance sheets accounted for, says McKinsey.
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How to ensure business-critical applications are always on

Mon, 5th Jul 2021
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storage
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converged infrastructure
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multi-cloud
Running disparate systems on a single architecture minimises complexity while modernising IT, writes Pure Storage VP and field CTO Mark Jobbins.
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How to recover from a ransomware attack faster and return to business acceleration

Thu, 10th Jun 2021
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storage
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malware
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ransomware
When an organisation can recover quickly from a ransomware attack, organisations can accelerate growth safely and reliably.
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Managing storage across multiple clouds

Fri, 14th May 2021
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storage
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converged infrastructure
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multi-cloud
Containerised software can run reliably from one computing environment to another, making containers the ideal choice for a multi-cloud environment.
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How cloud silos are holding organisations back

Wed, 21st Apr 2021
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crm
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hybrid cloud
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datacentre infrastructure
Cloud silos can hinder value extraction, cost minimization & fast business operations. Unifying cloud silos requires a robust data management strategy.
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How rethinking data storage can unleash AI's potential

Wed, 3rd Oct 2018
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storage
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uc
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converged infrastructure
With data, AI is just a bunch of fancy code. But in order to capitalise on data's potential, we need to look critically at how it is stored.