5 Best Practices For Business Data Protection

If your small business is considering a business data protection policy, take two minutes and read this post to familiarize yourself with the best practices.

Business Data Protection

Photo by Privecstasy on Unsplash

 

There’s a growing awareness among entrepreneurs and business owners regarding the consequences of failing to implement a reliable cybersecurity framework for their businesses. That’s why it’s a must for business organizations to put in place a data protection policy.

A data protection policy (DPP) aims to standardize data use, monitoring, and management. It seeks to secure, protect, and manage all data consumed, managed, and stored by the organization.

Knowing the top cybersecurity trends and the latest data protection policy is vital to stay up-to-date on how you can protect your business and your data. To help keep your company’s valuable information safe, you can follow these data security best practices:

 

1. Classify And Identify Sensitive Data

As the saying goes, there’s power in knowledge. That’s why it’s essential to know your sensitive data by classifying and identifying them.

To effectively protect your data, you must be aware of the specific categories that you have. Start by allowing your security team to examine and report on your data repositories. They can later classify the information according to its worth to your company. The classification can be updated as new data is generated, modified, processed, or communicated.

There are three levels of data sensitivity:

  • Low-Level Data. This is data that’s safe for the general public to view or use such as publicized generic information on websites.
  • Medium-Level Data: This data can be shared internally but not with the general public. There won’t be any severe effects if data leaks.
  • High-Level Data: This should only be disclosed to a small group of insiders. It can disastrously affect the organization if it’s compromised or destroyed.


Numerous data discovery technologies can label and categorize data according to a data categorization policy. Additionally, these technologies can impose classification rules to limit user access and prevent data storage in unsafe areas.

 

2. Come Up With A Data Usage Policy

There needs to be more than justifying and identifying; you must have a policy that defines what types of access are allowed, the classification criteria for data access, who can access data, and how data should be used. Ensure that users are restricted only to certain areas and are deactivated once the job is complete.

When putting your data protection rules into action, take into account the following procedures:

  • Introduce the policy to your staff by including it in the team member handbook. Ensure they read it and understand that they must abide by the policy.
  • Provide a condensed version—if the policy is lengthy, give your staff a condensed version highlighting the fundamental principles and procedures they must adhere to.
  • Provide staff with the necessary training to implement organizational data protection requirements when adopting the policy for the first time. You should also provide staff with oversight. Ensure that training is given according to specific responsibilities and work procedures.
  • Inform the appropriate third parties. If your company requires outside partners and contractors to abide by the data protection policy, they should be given a copy. In addition, be sure to include pertinent contract clauses.

 

3. Control Access To Important Information

You must provide the appropriate user with the proper access control. Limit access to information using the principle of least privilege, which states that only privileges required for achieving the intended goal should be made available. This control will guarantee the appropriate user uses that data.

The following are some essential permissions that you can define:

  • Full Access. Assigning permissions, storing, accessing, altering, and deleting data are a few examples.
  • Edit Access. The user has access to and the ability to edit data.
  • View Access. The person has access to the data, but they can’t edit or delete it.
  • View and Edit Access. Data can be accessed and changed, but the user can’t delete it.

 

These must be strictly implemented to avoid any breaches. Failure to do so could jeopardize your data.

 

4. Utilize Endpoint Security Tools To Safeguard Data

There’s a constant threat to your network’s endpoints. You must set up a robust endpoint security infrastructure to prevent data breaches. Here are some measures you can take to get started:

  • Firewalls: Firewalls are one of the most strongly advised data security best practices because they operate as a barrier between your data and attackers. Internal firewalls are another option for enhancing security.
  • Pop-Up Blockers: Unwanted programs called pop-ups operate on your computer for no apparent reason other than to damage it. Install pop-up blockers to keep your system secure.
  • Antivirus Software: Be sure to install antivirus software on all workstations and servers. Run routine scans frequently to maintain the health of your system and find any threats such as ransomware.
  • Anti-Spyware: Spyware installs malicious software on the computer without the user’s knowledge. In general, it collects personal information about users and analyzes their behavior. Using anti-spyware or anti-adware tools can help you remove those programs.

 

It’d be advantageous if you have all of the above. This is because these fortify your network, preventing any compromise.

 

5. Back Up Data

As crucial as confidentiality is to data security, data backup ensures availability and integrity. Backing up your data means creating a copy in a different location. A backup data ensures you can retrieve it if the working copy becomes unavailable, corrupted, or deleted.

Ensure that back-ups are performed regularly. You can complete the data replication or an incremental backup, which only saves changes to the data. It’s essential to keep back-ups protected since they can also become attack targets.

 

Conclusion

Data security protection should be a top priority for everyone, primarily business entities. There has never been a more crucial time to discuss customer data and privacy than now, as cybercrime incidents such as large data breaches are increasing worldwide.

To create an effective and efficient data security program, you must ensure that you classify data and develop data security policies. Furthermore, you need to control access to important data and ensure there’s an endpoint security tools software in place. Lastly, require the use of multifactor authorizations and backup files to ensure availability and integrity. Consider the ideas mentioned here as you plan and prepare.