The protection of the sensitive data that your company has in its possession is the lifeblood of your company. Therefore, it demands much more than just encryption and backup. Security teams must know where sensitive data is stored, who has access to it, and when abuse happens to take appropriate action immediately after learning of the situation.
Data Security has been an important subject in recent decades. Because of ongoing data breaches, there has been an increase in demand for data protection products worldwide. As a result, robust data privacy solutions are essential to secure data.
In this article, you will learn the following:
- What is Data Security?
- Types of Data Security Solutions
- Examples of Data Security Solutions
- Data Privacy Solutions Best Practices
What is Data Security?
Data security is the practice of securing files and databases. It accounts for a network by implementing a set of controls, applications, and techniques that determine the relative importance of various datasets, their sensitivity, and regulatory compliance requirements, and then applying appropriate safeguards to uphold cloud data security.
It is a concept that provides physical security to both hardware and software devices and encompasses all aspects of data security. It also gives software applications administrative and access controls and logical security.
Data security solutions, including perimeter security, file security, and user behavioral security, are not the be-all and end-all of security practice. Data protection solutions are just one way to assess and mitigate the risks of keeping any big data.
Types of Data Security Solutions
Data security technology comes in several different forms, and it defends data against an ever-increasing number of threats. The most popular types of IT security products are listed below.
Before granting access to critical data, implement authentication procedures such as access limitations and proper identification of people. Examples include passwords, PINs, security tokens, swipe cards, and biometrics for any data security platform. In many examples, modern data security solutions allows authentication with SSO, Two-factor authentication, and temporary authentication (“Just In Time”).
Backups and Disaster Recovery
In a system failure, disaster, data corruption, or breach, good security means you have a plan in place to safely access data. To restore, you’ll need a backup data copy stored on a separate medium, such as a hard disk, a local network, or multi-cloud environments.
Encryption keys jumble data so that only authorized users may read it by converting normal text characters to an unreadable format. Among the several solutions for data privacy available, file and database encryption solutions act as a final line of defense for protecting sensitive data contents via encryption or tokenization. The majority of cyber security products also feature capabilities for managing security keys.
Another data protection solution is known as Data Erasure. Data Erasure is a more secure method than standard data wiping since it uses software to overwrite data on any storage device entirely. Moreover, it confirms that the data is permanently lost.
Among the many types of cybersecurity products, one of the most crucial is known as Data Masking. Organizations can enable teams to develop applications or teach employees using real data by concealing it. Data Masking conceals personally identifiable information (PII) where necessary to allow analytics and development in compliant contexts.
Resilience gets measured by an organization’s capacity to withstand or recover from any failure — from hardware failures to power outages and other events affecting data availability. Recovery time is crucial to reduce the impact on business activities while bringing back security.
Examples of Data Security Solutions
Data protection tools and technologies must handle the mounting difficulties associated with safeguarding today’s complex, distributed, or hybrid cloud computing environments.
These information security systems must contain capabilities for determining the location of data, monitoring who has access to it and prohibiting high-risk actions and possibly dangerous file transfers — virtually everything required to effectively protect data.
The following are some examples of Data Security Products and Solutions:
Data Discovery and Classification Tools
You can store sensitive information in structured and unstructured data repositories such as databases, data warehouses, big data platforms, or cloud environments. In this context, data discovery and classification solutions streamline the process of finding sensitive data and assessing and remediating issues.
Satori allows you to discover sensitive data and classify it without scanning databases. Learn more here.
Data and File Activity Monitoring Tools
File activity monitoring tools examine data consumption patterns, allowing security teams to know who is accessing data, detect anomalies, and identify dangers. For unusual activity patterns, you can also use dynamic blocking and alerting.
Automated Compliance Reporting Tools
Comprehensive data protection systems that provide automated reporting can serve as a consolidated repository for enterprise-wide compliance audit trails. These technologies can significantly minimize the manual labor required to evaluate and correct compliance concerns.
Data Privacy Solutions Best Practices
Having the best data security products on hand is not enough. These are only extra costs if they do not get properly implemented.
With that in mind, here are a few best practices that might assist you in more successfully securing data:
Recognize and Classify Sensitive Data
To successfully preserve data, you must first understand what types of data you have. Data discovery software will search and report on the contents of your data repositories. The data can then be organized into categories using a data classification process. Data discovery engines typically use regular expressions for their searches, which are incredibly flexible but somewhat difficult to create.
Make a Policy for Data Usage
Data classification is not enough; you must also develop a policy that specifies access types, classification-based limits on data access, who has access to data, what constitutes proper data usage, etc. It is also important to remember that any policy violation must result in explicit consequences.
Implement Employee Security Training
Having security rules in place is not enough. Companies must train their personnel, explain the policies and their value, and demonstrate how to manage sensitive data and respond to suspicious activities. Furthermore, you should deliver this fundamental training on an ongoing basis to both new and existing personnel.
When a company acquires any personal data, it is labeled a data processor. This title carries a great deal of weight.
Data security is now a must-have, and its significance is growing by the day. A single error can bring down an entire network. As a result, it is critical to implement the best data security products, solutions, and procedures.
Data Security with Satori
Satori, The DataSecOps platform, gives companies the ability to enforce security policies from a single location, across all databases, data warehouses and data lakes. Such security policies can be data masking, data localization, row-level security and more.