Digital Security & Privacy


What exactly are the most challenging data privacy issues, and how do you solve them? Here are eight of the most important according to CloverDX: 


#1: Embedding Data Privacy - Many businesses only have data privacy tacked onto their IT (Information Technology) security or disaster recovery plan. That is not good enough because data privacy affects so many parts of a business (CloverDX, 2020). 

We cannot afford to treat privacy as an afterthought. It must be seared into the heart of your data strategy and staff training. We need to make sure we choose tools that support our current privacy policies, such as making data anonymization easier (CloverDX, 2020). 

 

#2: Proliferating Devices - Data privacy becomes harder to handle when we factor in things like the Internet of Things (IoT), bring-your-own-device IT policies, and proliferating internet-connected tablets, phones, and watches. As we bring more devices to the workplace, we end up having more data to manage (CloverDX, 2020). 

An organization must be able to manage compliance and data privacy from any source, operating system, and multiple apps. To address this, we must ensure that we have the right data management processes in place (CloverDX, 2020). 

 

#3: Increasing Maintenance Costs - The costs of a data breach are so significant, we must face the situation and invest properly. Automating processes is crucial. It helps in diverse ways by (CloverDX, 2020): 

 

#4: Access Control is Difficult in Many Industries - Data privacy breaches are often caused by poorly managed access within an organization. People and processes count as much as technology. Humans are the weakest link in the chain of privacy and safety (CloverDX, 2020).  


#5: Getting Visibility Into All Your Data - Your organization must be aware of the location, nature, and sensitivity of your data. If it’s not, how can they keep the right information private (CloverDX, 2020)? 

Using the appropriate tools to discover and classify your data is essential. This will ensure you can treat data uniquely and protect your sensitive data from any privacy issues (CloverDX, 2020). 

 

#6: A Bad Data Culture - A miser’s hoard of data is now, more than ever, a risk rather than an asset. The days when it made sense to keep as much data as technologically possible are over. In the past, thanks to ‘big data’ hype, many organizations and IT leaders believed that more data is always better. That’s not necessarily true (CloverDX, 2020). 

Keeping data expands the attack surface for data theft and ups the risk of breaching many data privacy laws. Forward-thinking IT teams must balance the value of collecting, storing, and processing substantial amounts of data against the pressing requirements for privacy, security, and compliance (CloverDX, 2020). 

Rather, build a great data culture that understands the value of data and data privacy (CloverDX, 2020). 

 

#7: The Ever-Increasing Scale of Data - As cloud storage and computer costs come down, businesses are now immersed in data (CloverDX, 2020). 

As the amount of global data grows (it is now tracked in the tens of zettabytes), the challenge of managing this sea of data is astronomic (CloverDX, 2020). 

With hundreds of systems and millions of data records, we must find a solution that can handle the scale (CloverDX, 2020). 

 

#8: An Extensive List of Regulations & Documentation to Follow - With so many regulations to follow, it is difficult to keep track of what level of data privacy you need to achieve for your different datasets (CloverDX, 2020). 

By building processes, data modeling, and automating as much as possible, we make it easier to handle the complexity of different regulations (CloverDX, 2020). 


CLICK THE IMAGE --->

<---CLICK THE IMAGE