
All You Need to Know about Data Security
Data security is the process of securing files, databases, and accounts on a network by implementing a set of controls, applications, and techniques that recognize the relative importance of different datasets, their sensitivity, and regulator
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CIO Applications Europe | Tuesday, March 02, 2021

The perception of data has shifted over the last decade of IT management. Previously, having more data was almost always preferable to having less data. One could never know what one might want to do with it ahead of time.
Fremont, CA: Data security is the process of securing files, databases, and accounts on a network by implementing a set of controls, applications, and techniques that recognize the relative importance of different datasets, their sensitivity, and regulatory compliance requirements, and then apply appropriate safeguards to secure those resources.
Data security, like other approaches such as perimeter security, file security, or user behavioral security, is not the be-all and end-all of security practice. It is one method of assessing and mitigating the risks associated with storing any type of data.
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What are data security technologies?
Data Real-Time Alerts
Typically, it takes several months for a company to discover a breach. Companies frequently learn about breaches from their customers or third parties rather than from their own IT departments.
By monitoring data activity and suspicious behavior in real-time, one can detect security breaches that result in accidental destruction, unauthorized disclosure, or access to personal data more quickly.
Auditing Data
The question is not whether a security breach will occur but when it will occur. When forensics is called in to investigate the root cause of a breach, having a data auditing solution in place to capture and report on access control changes to data, who had access to sensitive data, when it was accessed, file path, and so on is critical to the investigation.
Alternatively, by implementing appropriate data auditing solutions, IT administrators can gain the visibility required to prevent unauthorized changes and potential breaches.
Minimization of Data
The perception of data has shifted over the last decade of IT management. Previously, having more data was almost always preferable to having fewer data. One could never know what one might want to do with it ahead of time.
Data is now a liability. The threat of a reputation-damaging data breach, loss in the millions of dollars, or stiff regulatory fines all reinforce the notion that collecting anything more than the bare minimum of sensitive data is extremely risky.
To that end, follow best practices for data minimization and review all data collection needs and procedures from a business standpoint.
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