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How is IT security adapting?

With COVID-19 upon the world, IT security professionals are asking:

What are the main challenges organizations are facing? What are some of the trends in the security market today? How can businesses adapt to stay secure now that employees and customers are working from home?

Watch this webcast for a look at answers to these questions as well as information on:

• Protecting the mobile workforce

• Extending zero trust

• The most common causes of downtime

• And more

These are also closely related to: "2015 Dell Security Annual Threat Report"

  • CW+: IDC Report - Enterprise disaster recovery for SMBs


    Data protection and recovery are mature technologies today, and businesses of all shapes and sizes are busy protecting their data in any way they can. But due to differences in data volume, complexity of IT infrastructure, and availability of budget and staff, there are big differences in the sophistication of data protection between large and small businesses.  The underlying dynamics of the market, such as continuous data growth and the risk of natural disasters, are similar for all organizations, but large enterprises are typically faster adopters of new technology and, as a result, are able to deploy state-of-the-art data protection and disaster recovery solutions that are generally out of reach of smaller businesses. This, though, is starting to change.

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    While machine learning and artificial intelligence are related concepts and are often used interchangeably, they are different.

    So what's the difference between machine learning, artificial intelligence and digital assistants? 

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