Best Practices for Data Loss Prevention [Top 10 Strategies]

Data Loss Prevention Best Practices

Mr. James is the CEO of a company. Recently, his company faced a serious problem. His company's data was targeted by hackers. After the hack, the company suffered heavy losses.

After this incident, Mr. James decided to implement best practices in data loss prevention. These practices include defining roles, restricting access to data, etc. Let’s explore this area in more detail.

What is data loss prevention?

Data Loss Prevention (DLP) is a set of software and tools that ensures sensitive data is safe. It also ensures that data cannot be misused or accessed. This is the process of detecting and preventing data hacking.

Data loss prevention organizes data and protects it for later use. Data loss prevention can also be said to be a set of strategies aimed at preventing people who do not need it from accessing sensitive information. With this policy, employees do not send sensitive or critical data.

– Data loss

During data loss, sensitive data or information is leaked due to lack of data organization and security. Data loss can result from a ransomware attack, data leak, or hack.

● Causes of data leaks

  • Insider threat
  • Extrusion by attackers
  • Unintentional or negligent exposure of data

– Reasons to protect data

  • Retain Personally Identifiable Information
  • Protect intellectual property
  • Access to necessary data
  • Securing the mobile workforce

How do data breaches occur in an organization?

Data leakage is the illegal transmission of critical data from an organization to an external destination. Data leakage occurs during online services. It usually occurs on the web and via email.

It can also occur in data storage devices such as optical media, USB drives and laptops. Here are some important points related to data leakage in an organization:

– System error

Sometimes we use faulty software. All of this software is at risk of being pirated. Software problems are therefore the most common causes of data leaks.

– Malicious or negligent users

According to a study, around 33% of data loss is due to internal incidents. These losses increase by up to 25%. We need to educate people about the possible threats of cyberattacks.

– Misconfigurations by IT professionals

After the outbreak of the covid 19 virus, most companies opted for remote working. When workers access data online, it is at risk. Microsoft misconfigured security policies for its customers, leading to a data breach.

Best practices for data loss prevention

– Identify and classify sensitive data

It is necessary to identify critical data on the network to protect your data. Data discovery technology is a data analysis strategy. This analysis helps you protect crucial data. Data search engines generally use regular expressions for their searches.

Data discovery and classification are two strategies that help control user access to data and avoid storing data in an insecure location. They reduce the risk of data leaks and loss.

All critical or sensitive data is processed with a digital signature that indicates its classification. You can protect them based on their importance to the organization. You can use a third-party application to protect them from illegal access…

– Use data encryption

Data encryption is one of the essential strategies to process and secure data. All business data should be encrypted at rest or in transit. Portable devices must use encrypted data if they contain critical data.

Encrypted file system (EFS) technology is useful for this purpose.

Microsoft also offers an encryption technology called Bitlocker. Bitlocker complements EFS by providing an additional layer of protection for data storage.

– Clarify roles

Everyone involved in the data prevention strategy should have a good understanding of their role. We must specify the owner of the data. The IT manager must take responsibility for security incidents.

– Automate as much as possible

The more automated DLP processes are, the more you will be able to extend them across the entire organization. Some DLP processes are limited in scope and cannot scale to the needs of any other IT region.

– Use anomaly detection

We also need to detect abnormal worker behavior. Some modern DLP solutions complement simple statistical analysis and correlation rules.

– Educate the businessman

Data leak prevention strategies are not enough. We must take steps to educate business leaders and CEOs. This will help us protect our sensitive data.

Benefits of Data Loss Prevention

Data loss prevention provides you with the following benefits:

  • Establish and classify data according to their sensitivity
  • Indicate the location of sensitive data that resides on your network
  • It helps you set up specific policies around your most sensitive data without permission.
  • It lets us know what’s happening with the data.
  • It constitutes an effective barrier against external and internal threats.

Data Loss Prevention Software

Here are some recommended software. These applications contribute to data protection:

  • SolarWinds Data Loss Prevention With Arm
  • CoSoSys Endpoint Protector
  • CrowdStrike Falcon Device Control
  • Final Thoughts

    Every business owner needs a cybersecurity expert to protect themselves against hackers. If anyone refuses this sector, there is no doubt that they will face cyberattacks.

    Whether you are a business or an individual, you should always follow best practices to ensure data security. We hope this article helped you learn the basics of data loss prevention best practices.