Essentially, it’s security that is based on the fact that the data itself is trustworthy. The goal is to protect it from unauthorized access, loss or theft. To do this, there are a variety of methods, technologies and solutions that you can use, such as encryption, classification solutions, access controls and data loss prevention (DLP) technologies.
Classification solutions
Identifying and classifying data is essential for ensuring security. The right data security solutions will keep your most important asset safe and sound. However, the best solutions won’t work if you don’t know where to look.
The first step is to identify your most sensitive information. These include medical records and consumer financial data. There are many ways to do this. The Ponemon Institute reported that 64% of companies are not aware of where their sensitive information is stored. A robust data discovery solution will automatically sift through the data in your network.
The best classification solutions for data-centric security will include a combination of technology, processes, and policies. These will allow you to secure your most valuable data at every stage of its lifecycle. A unified visibility solution will also allow you to keep an eye on your network at all times. This means that you’ll know what servers hold sensitive data.
The most important feature of these systems is the ability to audit all of your data. You’ll need to be able to track it when it’s on the move. A good file transfer solution will ensure that only identified files are sent or received.
A good data classification system will also help to reduce user error. Classification tools will also enforce data governance policies. This helps to stay compliant and increase the organization’s overall security posture.
A data security system should also incorporate multiple logical and physical controls. These should be deployed strategically to protect sensitive data. This includes encryption, access controls, and user authentication. It’s no wonder that many businesses are focusing on data-centric security solutions. These solutions will ensure that you can enjoy all of the benefits of modern technology without sacrificing security.
A data-centric security model will also allow you to control how data is used. A centralized management platform will allow administrators to set permissions for each data type. This will also give you the power to revoke access if necessary. The data-centric security model is a must-have for any business. This is because it provides the highest level of protection and minimizes impact on the business.
Access controls
Using the right access controls for your data is critical to protecting your organization’s data assets. Without proper protection, your data could be at risk of being hacked, lost, or stolen. The result of this can be significant damage and costly consequences. Luckily, there are several technologies that can help solve different data security problems.
One of the most effective data protection measures is encryption. This ensures that the intended recipient of the data will be able to view it. This is a good precautionary measure since it will also render the data unreadable in the event that an unauthorized user should attempt to access it. It may also be necessary to deploy more than one layer of encryption.
For better data management, consider an identity and access management solution that will allow you to track your employees’ access to your data. These solutions will also enable you to revoke their access should they no longer need to use it.
Another important component of a data-centric security system is data discovery. This is the act of finding out which files are most relevant and what the underlying context is behind them. This can be a useful step in your search for golden nuggets.
Another important component of a data-centric strategy is data remediation. This is the act of organizing and migrating data. Whether it is your medical records, employee information, or other highly sensitive information, this will enable you to perform the necessary tasks.
A data-centric approach will also improve data protection through fine-grained policy approaches. These strategies will make sure that the proper protocols are implemented to secure your critical data assets. In addition, this type of security will not disrupt normal operations.
The modern data-centric security strategy focuses on securing data while in motion rather than storing it. This will enable you to mitigate the usual issues with traditional security approaches.
The best part about a data-centric security solution is that it is not hard to implement. Regardless of your organization’s size or IT infrastructure, a data-centric security solution can add a layer of protection to your network.
Data loss prevention (DLP) technologies
Detecting and preventing data leaks is an important aspect of security. A properly configured DLP solution can protect sensitive data from accidental exposure. It can detect suspicious activity and alert users. It can also stop data loss by encrypting and redacting sensitive information.
To implement DLP, organizations must first determine which data is most valuable. They then define and implement policies governing how they handle that data. These policies should include guidance on appropriate practices and provide clarity for employees.
Once a policy is in place, it should be communicated to all data users. The goal of DLP is to change behavior so that no data is lost. The best way to achieve this is to identify and quarantine files that contain sensitive data to a more secure location.
DLP solutions offer powerful technology to analyze content based on word matches. They also perform partial data matching, which enables them to find duplicated forms and templates. They can also perform statistical analysis to detect obscure information.
These tools can filter corporate network data streams. They also monitor user behavior across control points and automatically block risky activities.
Next-generation DLP uses machine learning to detect suspicious activities. It can also enable data to be moved outside of the network where necessary.
DLP has become a top priority for many industries. In fact, it has been estimated that by 2021, the total cost of a data breach will be over $4 million. These breaches can result in fines and other penalties.
Companies are producing more data than ever before. This information generates great value and is in high demand. To keep it safe, organizations must protect their networks and endpoints. They need to classify data and protect users. Using DLP, they can secure their data in transit, at rest and in use.
DLP can also help organizations to comply with new regulations and standards. These regulations impose strict requirements for how organizations must handle personal data. The new GDPR in Europe and the California Consumer Privacy Act in the United States require greater data privacy.
Encryption
Using encryption is a vital aspect of data-centric security. However, it is also important to note that encryption is just one part of a complete strategy. For example, encryption and access management are both essential parts of effective access control. It is also important to implement proper data classification. This is done to help prioritize the most valuable information.
In addition, implementing data-centric controls requires a strong data governance framework. This ensures that your company is complying with regulatory requirements and ensuring visibility of your information assets. For example, many regulations require auditing capabilities.
Data-centric security is an approach that seeks to protect data throughout its lifecycle. It uses a variety of solutions to do this, including encryption and granular access controls. It is also designed to be more flexible than traditional cybersecurity solutions. It is easier to implement gradually, so there is no disruption to your business’ normal operations. Moreover, it provides a stronger defense against attacks.
Data-centric security is also beneficial to companies that are storing data in the cloud. This type of solution allows for easy collaboration. It also ensures that sensitive data is secured wherever it is stored or in use. It can also help with disaster recovery.
Data-centric security encrypts data at the application layer, which helps secure sensitive data from malicious attacks. It also helps to ensure that only the intended recipient can view it. Without the correct decryption key, a malicious party cannot access the file. It can also be used to protect data in motion.
Another important element of data-centric controls is removing sensitive information from documents. This practice is used in government, military and enterprise applications. It is important to remember that there are different protocols for different types of data, so it is important to identify the specific types of information you want to protect. This can be achieved by establishing data classification protocols.
It is also important to assign the right access privileges to users. This should be based on contextual factors, such as the user’s role, the location, and the application.
