What is data loss prevention and why it’s a must?

Data leakage prevention is an indispensable part of modern data protection and IT security strategies. Every organization has sensitive data. As DLP is considered as of the core building blocks of any IT security strategy. In order to ensure reliable protection of critical data, companies must carefully analyze and classify assets and control access to regulated information based on policies. The loss of business-critical data can easily wipe out a hard-earned competitive advantage & business reputation. The goal of Data Loss Prevention is to systematically prevent misuse or loss.

 

 

Many DLP projects fail because the project team start with the wrong expectations and often unrealistic goals. DLP solutions are usually not able to prevent data theft – e.g. through malware or exploits – but only serve to prevent the spread to prevent critical data. Be sure to communicate this distinction clearly to avoid misunderstandings as the project progresses. For a DLP project to be successful, you must first identify your confidential information that is vital to your business, such as your customers’ contact details, your source codes, your contracts and the personal information of each of your employees. Also the discovery phase with inventory and classification must be done at the beginning. This means that it is important to find out which data is actually available in a company and which is sensitive. It is also important to monitor data traffic as early as possible in order to create transparency. With more prevention, less detection is needed. Typically, DLP solutions address three use cases:

 

Endpoint security/endpoint protection: This includes hard drive encryption, optical drive encryption and USB port encryption to prevent data leaks. A successful DLP introduction largely depends on how transparent and seamless the integration on the end devices is.

 

Monitor data transfer: In order to also protect critical data during transmission in the network, you should integrate the DLP solution seamlessly into your groupware, e-mail and instant messaging applications. In this way it’s easier to monitor email and web traffic for sensitive data to prevent data from leaving the company; DLP also helps ensure that this data can only be accessed through encrypted channels and check whether all recipients have the appropriate authorization to access it.

 

Classifying stored data: Determines where files with sensitive content are stored, for example on servers and cloud platforms, to classify the data according to protection requirements and risk potential. It has proven useful to start with three categories: Public, Private and Restricted. In this way, you ensure a quick and easy rollout and always keep an overview.

 

Today, many companies have already started providing security because data leak management can be done at different levels with flexibility. A key success factor of any DLP project is to sensitize employees early on when dealing with critical information. Get all the document creators on board and clearly explain the project goals, if possible, with regular e-learning sessions to refresh the knowledge.

Effective methods to avoid Data loss and Data leakage

In the age of digitization and technological developments such as Industry 4.0, companies are confronted with ever-increasing amounts of data that need to be stored, analyzed, and evaluated according to business activity/priorities. Even though data is playing an increasingly significant role as a resource, it also comes along with huge security challenges. It is becoming increasingly lucrative for hackers to steal data to use it for a competitive advantage or even to monetize stolen data. When the data is stolen, companies lose a lot of money. To counteract this, data security, i.e., the protection of data from unauthorized access, is of crucial importance.

 

The protection of a company’s valuable data from unauthorized access is the task of data loss prevention (DLP) tools. Data Loss Prevention (DLP) solutions have been an integral part of the IT security strategy of many companies for more than ten years now. It is one of the most used technologies, by worldwide companies, to prevent the loss of sensitive data.  The aim is to protect any form of data against manipulation, disclosure, loss, and other forms of threats.

 

Various countermeasures can be taken to minimize the loss of a company due to data loss & to protect critical business assets. When implementing them, it is important to know what value the respective data generates for the company. Data that leads to high financial losses in the event of damage must be given the highest priority in the implementation of data loss prevention.

 

  • Backups: The most used method to counteract data loss are backups. These do not directly prevent the data loss process, but if data is lost, it can at least be recovered. Thus, it is important that the backups are carried out on a regular basis. They must also be regularly checked for recoverability and malware.

 

  • Permission Restrictions: Another technique to limit accidental data loss by employees is to restrict permissions/access to valuable files. The permission layer supports the company’s data privacy by protecting access to restricted data. Also, if an employee does not have permission to delete a file cannot delete it either.

 

  • Training and antivirus programs: There are several measures that must be taken to protect against viruses. First, the employees should be trained so that a virus has no chance of being invited into the system. However, since errors can still occur here, network anti-virus programs must be installed on every computer, every server, and every communication interface. It makes sense not to rely on just one provider here to be able to intercept several viruses.

 

  • Data leakage prevention: Analogous to data loss prevention, data must be inventoried and categorized. It ensures that users do not send sensitive or critical information outside the corporate network. Business confidential and critical information is classified and protected so that unauthorized users cannot accidentally or maliciously share data, which would put the organization at risk.

 

  • E-mail scanning: To prevent unauthorized internal sending of confidential documents, companies can prevent outgoing e-mails with attachments. However, since this cannot be practically implemented in everyday life, it makes sense to scan outgoing e-mails and only deliver them if previously set rules for sending have been observed.

 

  • Training and antivirus programs: Finally, incoming electronic communication can also be checked. This is to ensure that no Trojan or other form of malicious software can nest in the corporate network. Incoming documents in particular offer opportunities for this. Anti-virus programs must be used here to prevent a virus from being loaded. Employees also need to be trained so that fraudulent e-mails don’t stand a chance.

Data loss prevention & data leakage prevention are two main data security strategies that are adopted by worldwide companies. Companies that store sensitive and critical data, such as personal data, should place a greater focus on data leakage prevention. Operators of universally available assets, on the other hand, should consider data loss prevention as a priority.

Is Your Public Cloud Data Secure?

Is Your Public Cloud Data Secure?

 

With advancing digitalization, business requirements are also developing rapidly. The rise of cloud applications shows no signs of slowing down. More and more organizations continue to adopt cloud computing at a rapid pace to benefit from increased efficiency, better scalability, and faster deployments. According to a report by Linker, the global public cloud computing market is expected to reach $623.3 billion by 2023. The rapid provision of business applications for the introduction of new, improved business processes is central. Many companies consider outsourcing workloads to the public cloud as a priority. High availability, scalability and cost efficiency open up the possibility of implementing innovative operational developments with little effort.

 

As more workloads are shifting to the cloud, cybersecurity professionals remain concerned about the security of data, systems, and services in the cloud. the public cloud exposes business to a large number of new threats. Its dynamic character makes that relying on traditional security technologies and approaches isn’t enough. Therefore, many companies have to rethink the risk assessment of the data stored in the cloud.

 

While moving their workloads into public cloud, companies think that their business is automatically protected. Unfortunately, this security is not certain. Amazon, Microsoft and Google do indeed partially secure their cloud, but it is not their core business or priority. So, in order to cope with new security challenges, security teams are forced to update their security posture and strategies.

 

A report by RightScale shows that average business runs 38% of workloads in public and 41% in private cloud. Usually, enterprises run a more significant part of their workloads in a private cloud (46%) and a smaller portion (33%) in the public cloud. Small to medium businesses, on the other hand, prefer to use a public cloud (43%), instead of investing in more expensive private solutions (35%).

The cloud computing statistics also show the public cloud spend is growing three times faster than the private cloud usage.

 

For this survey 786 IT professionals were questioned about their adoption of cloud infrastructure and related technologies. 58% of the respondents represented enterprises with more than 1,000 employees. For majority of them, more than 50% of enterprise workloads and data are expected to be in a public cloud within 12 months. More than half of respondents said they’ll consider moving at least some of their sensitive consumer dataor corporate financial data to the cloud.

 

Even tough public cloud adoption continues to accelerate 83% of enterprises indicate that security is a is one of the top challenge, followed by 82% for managing cloud spend and 79% for governance.

Workloads and data in a public cloud for all organizations

 
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Securing the environment in the cloud is one of the biggest challenge or barrier in cloud adoption. If companies want to protect their data in the cloud, they must ensure that the environment is used safely. This requires additional measures at different levels:

 

Secure access with Identity and Access Management (IAM)

 

As the data stored in cloud can be access from any location and any device, access control and whitelisting are among the first and strongest measures to safeguard your cloud. Managing people, roles and identities is primordial in cloud security.

In most companies, user rights for applications, databases, and content are maintained manually in separate access lists. Regulations for dealing with security-relevant technologies are also kept in other places. The lack of automation and distributed access management prevent identity or context attributes that are needed for dynamic Identity and Access Management (IAM) from being considered.

Building an identical repository with clearly defined type of access for each user identity and strict access policies is therefore the first step in the dynamic handling of access rights. For example, it can be specified that employee X login is only permitted from certain geographic locations by secure network connection to access only a selected numbers of files.

While these policies can be managed by different individuals with appropriate authority in the organization, they must exist in a single, reliable, and up-to-date location – across all resources, parameters, and user groups.

 

Data loss prevention (DLP)

 

As data is one of your organization’s most valuable assets, protecting it and keeping it secure must be one of your top priority. In order to accomplish this, a number of DLP controls must be implemented in all cloud applications at various levels and allow IT administrators to intervene. «DLP (Data loss prevention) is the practice of detecting and preventing confidential data from being “leaked” out of an organization’s boundaries for unauthorized use. Data may be physically or logically removed from the organization either intentionally or unintentionally. »

 

Data Encryption

 

Sensitive data may not be transmitted through public networks without adequate encryption. Therefore, one of the most effective cloud security measure that you can take is to encrypt all of your sensitive data in the public cloud. This includes all type of data such as the data at rest inside the cloud and archived and backed-up data, or the data in transit as well. This allows you the complete protection in case of any data exposure, as it remains unreadable and confidential based on your encryption decisions. By encrypting properly data, organizations can also address compliance with government and industry regulations, including GDPR.

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