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It’s important to know the distinction between security, data protection and privacy when it comes down to the protection of sensitive information. Although they might sound the same, each serves an entirely different purpose in your organization’s overall data security strategy. Data protection best practices help secure your company’s data against corruption, compromise, and loss by establishing protocols and safeguards to limit access, monitor activities, and identify and respond to threats. Data security concerns protecting the integrity of your data as well as safeguarding critical information against illegitimate changes while data privacy dictates who can see your data and what can be shared with other parties.

To ensure that you have a proper system for security of your data, start by performing a complete audit of your company’s infrastructure to determine the type and source of data that you collect. This will allow you to map your systems and determine what policies you must implement, including a risk assessment, which will enable you to prioritize your efforts based on the highest dangers to your data.

Once you’ve mapped your information, it’s time to set up the data classification system. This system helps establish access control for use and modification, and helps you comply with. It is essential to implement a consistent and easy classification scheme, no matter whether you are using a schema that is based on access or role. This reduces the chances of human error that could cause data to not be secured.

Then, you’ll have to implement a comprehensive backup and disaster recovery plan that protects your data in the event of a cyber attack. This means encrypting your data both at rest and while in transit so that malicious actors are unable to read your data. It’s also important to update your backup and disaster recovery plans to ensure that your business can continue to operate in the event of a cyberattack. data loss.

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