What is Data Loss Prevention?

Tram Ho

Data Loss Prevention (DLP) according to Google translator is “Preventing data loss”, for more details, we answer the following questions:

What is Data Loss Prevention (DLP)?

Define

Data Loss Prevention (DLP) is a set of technologies, products and techniques used to ensure that sensitive data is not lost or accessed by unauthorized users.

Data may fall into the wrong hands whether it is sent via email or instant message, web page form, file transfer or other means. The DLP strategy must include solutions for monitoring, detecting and blocking unauthorized flow of information.

Classify

DLP for data in use

For the type of data being used, protection measures often involve user authentication and control of user access to system resources.

DLP for data transmission over the network

When confidential data is transmitted over the network, DLP technologies are needed to secure data. Encryption plays a big role in this case. Email is commonly used in data transmission of this type, so email security should be considered.

DLP for old archived data

Data that is not used or transmitted should also be protected. DLP technologies support data storage protection in many media, including the cloud. DLP ensures that only authorized users have access to data and track their access in case the data is leaked or stolen.

When to use DLP?

Protect personal information

Organizations always collect and store personal information, health information, payment information, customer information. All needs to be secured and abide by many different security rules. DLP can identify, classify and tag sensitive data and then monitor activities and events around that data. In addition, DLP has reporting capabilities, providing the necessary details for auditing.

IP protection

For organizations that store intellectual property, commercial data or state secrets, when lost or stolen, can put the organization at great risk. DLP solutions are necessary, able to categorize data in context, helping to combat coercive data eradication.

Show how users use data

A comprehensive DLP solution that can view and track data on access points, networks and clouds. From there, display about how individuals in the organization interact with data.

In addition to the above three cases, DLP can overcome many other data security threats.

Why use DLP?

It is estimated that the cost of preventing data loss will reach $ 1.3 billion by 2020. DLP is not new, but it is constantly evolving to improve protection in advanced threats. In addition to the continuous expansion of data, the application of DLP as a means to protect data has been more widely adopted:

1. The role of the CISO (Information Security Manager) is growing

Many companies have been hiring Information Security Managers (CISOs). CISO manages data protection, reduces the possibility of theft, leakage, unauthorized access to data. DLP shows clear economic benefits in this regard and provides CISO with the necessary facilities for security.

2. Change the data protection rules

Data protection regulations around the world are constantly changing and organizations need to adapt. DLP solutions allow organizations to flexibly adapt to adapt to changing data safety regulations.

3. Data storage many places

Cloud use is increasing, and other data storage services that the organization no longer has full control of data have made data protection complicated. The requirement to display activities and events around the data before it leaves the organization is very important in preventing data from falling into the wrong hands.

4. High risk of data theft

Opponents, cyber criminals … are stuffing organizational data for many motives, such as corporate espionage, personal financial interests and political advantages. DLP can protect against all kinds of above.

In the past few years alone, there have been thousands of data breaches and many other security incidents. Billions of records have been lost in huge data violations such as: misconfiguration of the database leaked nearly 200 million US voter records in 2015; Equachus data violations and violations of Yahoo affect 3 billion users … These are just a few of the many practical examples to emphasize the need for data protection.

5. Data values ​​are constantly increasing

Stolen data is often sold on Dark Web, where individuals and organizations can buy and use it for their own benefits. Data is often sold at high prices, a clear financial incentive for data theft.

6. Data is getting bigger and bigger

Increasing data is an indispensable rule. This means that the amount of data to be protected also increases.

7. Lack of security personnel

Human resources for the security department of organizations are always missing. This deficiency will be irreparable in the short term. DLP services act as remote extensions to fill that personnel gap.

How is DLP used?

Identify data protection goals

With a major goal in place, it is easier to identify the most suitable DLP deployment architecture or incorporate other architectures. The four main DLP deployment architectures are: Endpoint DLP, Network DLP, Discovery and Cloud.

Establish evaluation criteria

Refer to the following questions for evaluation:

  • What kind of architecture deployment is provided?
  • Does Windows, Linux and OS X support with similar features?
  • What deployment options are provided?
  • Need to protect against internal threats? outside? both?
  • Need to check and classify based on content or context?
  • Are there plans to see data movement based on user activities and events?
  • What security principles should be followed?…

There are many other questions, above are some of the most common questions.

Clearly define roles and responsibilities

The roles and responsibilities of individuals involved in the DLP program of the organization need to be clearly defined. Develop rights and obligations based on defined roles.

Work with the head of the organization

To determine the rules governing organizational data, how they may be affected should work with the organization’s head because learning has the greatest right in data control.

Document the process carefully

This will help to apply consistent policy, provide a document when it needs review, and will also be useful when the organization has a new member.

Determine success metrics and report with the leaders of the organization

It should be measured and monitored closely to determine the success of the DLP program. Report these data to the organization’s leaders to show the positive impact of DLP and its economic benefits.

DLP is a program, not a product

Installing the DLP tool is only the first step in preventing data loss. Although it can get quick success, when thinking that DLP is a program that needs to be constantly improved, it will maintain long-term success. DLP is an ongoing process to understand data and how users, systems interact with data, thereby protecting data better.

Thanks for reading!

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Source : Viblo