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Table of contents
1.
Introduction
2.
Benefits of Cloud DLP 
3.
Use cases of Cloud Data Loss Prevention
3.1.
De-identifying sensitive data 
3.2.
Redacting sensitive data from images 
3.3.
Inspecting storage and databases for sensitive data
3.4.
 Protect sensitive data as you migrate to the cloud
4.
Cloud DLP Safety Tips
5.
Frequently Asked Questions 
5.1.
What is the data loss prevention in the cloud?
5.2.
What are the three types of data loss prevention?
5.3.
To prevent data loss what methods are used?
5.4.
What causes data loss the most commonly?
5.5.
What are the reasons why cloud computing experiences permanent data loss?
6.
Conclusion
Last Updated: Mar 27, 2024

Cloud Data Loss Prevention

Leveraging ChatGPT - GenAI as a Microsoft Data Expert
Speaker
Prerita Agarwal
Data Specialist @
23 Jul, 2024 @ 01:30 PM

Introduction

A fully managed service called cloud data loss prevention is designed to help you in discovering, classifying, and protecting your most sensitive data.

Cloud Data Loss Prevention

With the help of Cloud data loss prevention (DLP), Sensitive or crucial information held by an organisation is safeguarded from cyberattacks, insider threats, and unintentional exposure. 

Sensitive data in SaaS and IaaS applications is provided visibility and protected by cloud DLP solutions.

Cloud data image

Cloud Data Loss Prevention provides the following advantages-

  • Take charge of your data, whether it is on the cloud or off.
  • Gain visibility of the risk in the sensitive data throughout the entire organisation.
  • Obfuscation and de-identification techniques like masking and tokenization can lower the risk associated with data.
  • efficiently inspect and transform both structured and unstructured data

Benefits of Cloud DLP 

Before we discuss the benefits of Cloud Data Loss Prevention, let’s follow the steps to get started with the Cloud Client Libraries for the Cloud Data Loss Prevention API and for that you need to follow this link - Cloud DLP client libraries. Read more about the client libraries for Cloud APIs, including the older Google API Client Libraries, in Client Libraries Explained.

Let us now look into benefits of cloud DLP-

  • Gaining visibility into the data you process and store.
     
  •  You can scan a sample string for sensitive information by using the Cloud Data Loss Prevention API (DLP API) and JSON, follow these links- Inspect sensitive text by using the DLP API and Schedule Inspection Scan
     
  • Cloud DLP client libraries mentioned on this page are supported on Compute Engine, App Engine - Flexible Environment, Google Kubernetes Engine, and Cloud Functions. Cloud DLP client library for Java is supported on Java 8 on App Engine standard environment.
     
  • Configuring data monitoring and inspection at ease.
     
  • Reducing the risk to unlock more data for your business.
     
  • For your data warehouse it has automated sensitive data discovery.
     
  • Whether on or off Cloud can use Cloud DLP from anywhere virtually.
     
  • To safely unlock more of the cloud, automatically mask your data.
     
  • Measures the risk of re-identification in structured data.
     
  • You can schedule a Cloud DLP inspection scan such as Inspecting Text and Creating Templates Inspect, by running a job trigger which in turn scans around 700 bytes of data. You can inspect up to 1 GB of storage data per month free of charge. 
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Use cases of Cloud Data Loss Prevention

De-identifying sensitive data 

With Cloud DLP, you can automatically understand and manage your data risk across your organisation. You can manage and reduce your data risk, stay compliant, and make more informed decisions as you have continuous visibility of your data. 

De-identifying sensitive data

You may easily configure data profiling in the Cloud Console without managing any jobs or overhead, letting you to focus on the outcomes and your business.

Redacting sensitive data from images 

Using cloud data loss prevention, private text can be removed from images. Cloud DLP scans an image for text using  infoType detectors and Cloud Vision, finds sensitive data inside the text, and then returns an image with any matching sensitive data covered by an opaque rectangle.

De-identifying sensitive data

Take a look at the following "before" and "after" images as an example. A typical image file created from a scan of a paper document is the original picture. In this illustration, Cloud DLP has been set up to use a variety of coloured rectangles, depending on the content, to redact US Social Security numbers, email addresses, and phone numbers.

Inspecting storage and databases for sensitive data

The key to properly managing sensitive data stored in a storage repository is storage classification, which entails figuring out where your sensitive data is kept in the repository, what kind of sensitive data it is, and how it is used. With this knowledge, you can correctly set up access control and sharing permissions as a part of a plan for continuous monitoring

Inspecting storage and databases for sensitive data

Sensitive data stored in a Cloud Storage location, Datastore kind, or BigQuery  table can be detected and classified using Cloud Data Loss Prevention. Cloud DLP supports scanning of binary, text, image, Microsoft Word, Microsoft Excel, Microsoft Powerpoint, PDF, and Apache Avro files while scanning files in Cloud Storage locations. Unrecognised file types are examined as binary files. See Supported file types for further information on the Supported file types that are.

 Protect sensitive data as you migrate to the cloud

As you migrate more workloads to the cloud, unblock them. You may inspect and classify your sensitive data in both structured and unstructured workloads with cloud DLP.

 Protect sensitive data as you migrate to the cloud

By obfuscating the raw, sensitive identifiers, de-identification techniques like tokenization (pseudonymization) enable you to preserve the utility of your data for joining or analytics while reducing the handling risk.

Cloud DLP Safety Tips

Here are some steps your organisation should take to ensure that data loss prevention is emphasised:

Cloud DLP Safety Tips
  • Prioritize Data 

          You need to figure out which data is most vulnerable to theft and is most likely to be the target of attackers.

  • Classify the data

Connecting a category to the user or programming that generated the data. Data that is commonly known to be sensitive includes credit card information of customers, vendors, and others as well as social security numbers. There are also pre-configured rules for the payment card industry (PCI), personally identifiable information (PII), and related subjects.

  • Understand when data is at risk

When files in the cloud have broad sharing permissions like public, external, or internal across all tenants, they are often at risk. Furthermore, highly targeted and privileged users owning the sensitive files may also be at risk.

  • Monitor data in motion

To keep track of what's happening to their sensitive data and to determine the scope of any issues that their cloud-based DLP strategy needs to address, organisations must monitor data in motion.

  • Practice exact data matching

Exact data matching enables you to create a custom dictionary item or the other custom identifiers for your company or industry that are unique, such as account numbers for financial services, local forms of identification, or medical record numbers.

Now, let us discuss some FAQs based on the above discussion.

Frequently Asked Questions 

What is the data loss prevention in the cloud?

Sensitive or critical information held by an organisation is safeguarded from cyberattacks, insider threats, and unintentional disclosure with the aid of cloud data loss prevention (DLP). Sensitive data in SaaS and IaaS applications is visible and protected by cloud DLP solutions.

What are the three types of data loss prevention?

There are three main types of data loss prevention software that includes network DLP, endpoint DLP and Cloud DLP.

To prevent data loss what methods are used?

For laptops that hold confidential data, full-disk encryption or the ability to remotely wipe a computer are critical to protecting business from a data breach. Additionally, having a reliable backup in place will guarantee that you don't lose that critical data.

What causes data loss the most commonly?

The majority of business-related data loss is believed to have been caused most often by human error. Additional factors include software corruption, computer viruses, hardware degradation, natural disasters, and power failures.

What are the reasons why cloud computing experiences permanent data loss?

Due to malicious attacks or accidental or deliberate deletion by a cloud service provider, data can be lost permanently. When data is encrypted and the encryption key is lost, the data is also lost.

Conclusion

In this article, we have extensively discussed Cloud Data Loss Prevention, its advantages and benefits. Further we have also discussed the use cases and some FAQs. We hope that this blog has helped you enhance your knowledge regarding Cloud Server, and if you would like to learn more, check out our articles on 
 

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