New research from IT services provider Ensono finds that security is the biggest concern for IT professionals considering, or already using, multi-cloud strategies.

UK IT professionals rate security, governance and cost optimization as their top three concerns for multi-cloud strategies, while security, cost optimization and maintaining a positive end user experience are the top concerns in the US.

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A new study carried out by IDC for cloud data management company Zerto reveals that modernizing data protection, including backup and disaster recovery, is an IT priority that is crucial to digital transformation for 90.8 percent of respondents.

It also shows that 94.7 percent have seen an impact to their work-from-home data protection as a result of COVID, and that 80 percent of new applications will be deployed in the cloud or at the edge.

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A new study reveals that 70 percent of enterprises lack a mature data strategy. The study from cloud migration and managed services company 2nd Watch finds only 26 percent have any data strategy at all.

Most organizations recognize the importance of comprehensive data management though with 60 percent of respondents claiming to have an enterprise-wide data catalog.

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Digital transformation is a priority for 80 percent of CFOs and 71 percent believe that these investments are key to their company's success.

This is according to a global survey of more than 1,500 CFOs and senior financial leaders by enterprise software services company Rimini Street which also shows that CFOs are keen to see IT investments deliver value.

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Over half of organizations are considering adding one or more cloud infrastructure providers in 2021, and the extra supplier will be drawn from an alternative cloud vendor.

A new report by Accelerated Strategies and Linode shows that for small and midsized companies usage of alternative providers -- such as OVH, Linode, DigitalOcean, Hetzner, UpCloud and Equinix -- is on par with Google Cloud.

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IT security teams have faced a range of challenges in the last year thanks to dramatically expanded work-from-home programs, increased BYOD use, and rising internal and third-party risks arising from the COVID-19 pandemic.

The latest Cyberthreat Defense Report from CyberEdge shows 86 percent of organizations experienced a successful attack, up from 81 percent the previous year, the largest year-on-year increase in six years.

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The popularity of enterprise AI continues to grow but practices and maturity are stagnant as organizations run into challenges implementing AI within their organizations.

The annual AI Adoption in the Enterprise survey from learning platform O'Reilly finds a lack of skilled people and difficulty hiring topped the list of challenges to adopting AI, cited by 19 percent of respondents. This compares to last year when 22 percent named company culture as the major barrier.

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The past year has created an unprecedented shift, with businesses scrabbling to implement technologies to allow large numbers of staff to work remotely.

It seems likely that as we emerge from the pandemic a large proportion of this shift will become permanent. So, what can companies do to adapt their IT to this 'new normal' and ensure access to essential systems while maintaining security and compliance standards?

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Cloud misconfigurations are one of the major causes of data breaches and the problem has become worse thanks to the dash for remote working.

While cloud is undoubtedly the right choice for businesses looking to expand their infrastructure to keep pace with DevOps demands and embrace support for remote working, many enterprises are falling short of providing adequate Cloud Security Posture Management (CSPM).

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Digital transformation is sometimes seen as a panacea, providing visibility into the planning process, aligning software development with the business and delivering better outcomes.

But in a new study from Digital.ai more than half of businesses report issues providing that visibility and alignment, which calls into question long term success of today’s digital transformation initiatives.

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While spending on cloud services is high with over half of respondents to a new survey spending $10 million or more, 32 percent say they are doing less than they need to, or nothing at all, to ensure the security of their cloud resources.

The study carried out by Osterman Research for Sonrai Security finds respondents have an average of 7,750 identities with access to sensitive cloud data. Overpriviledged identities are ranked a high risk by 41 percent of respondents, just below bad actors/cybercriminals at 46 percent.

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The latest Mandiant M-Trends report from intelligence-led security company FireEye finds that businesses are getting better at dealing with cyber intrusions.

The median dwell time -- the time between the start of a cyber intrusion and when it’s identified -- has come down from over a year in 2011 to just 24 days in 2020 and has more than halved from 2019's median dwell time of 56 days.

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As more and more data moves outside the network perimeter into SaaS applications, this can become a blind spot for security teams trying to control access.

To address the issue DoControl is launching a fully automated SaaS data access platform, providing data access monitoring, orchestration, and remediation across major SaaS apps, including Google Drive, Box, Microsoft OneDrive, Salesforce, and others.

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Businesses are gathering more data than ever before, but being able to make effective use of it means being able to find information when you need it.

What challenges does dealing with these ever larger amounts of data present? And how can you be certain that your searches are delivering relevant information and insights to drive your business decisions? We spoke to Stéphane Kirchacker, VP EMEA at search specialist Sinequa to find out.

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A new survey carried out by Researchscape for data management company Ataccama reveals that 79 percent of executives and 75 percent of line of business users face problems with data quality.

With 78 percent of organizations relying on data more when compared to the year before the pandemic this is a major problem, as using poor quality data in analytics and AI initiatives can lead to misinformed business decisions.

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