With ever-increasing regulatory expectations and a rise in the volume and variety of information, many traditional secure data services are becoming obsolete. There are ongoing changes in regulations and other requirements that affect your organization’s information security, resulting in new challenges and new architectures. Flaws in data services identification and protection might put your IT infrastructure in danger and lead to the leakage of private information.
In this regard, this article tackles the importance of data security and its best practices. Other topics discussed are as follows:
- Secure Data Services: Defined
- Mechanisms That Secure Data Services
- Secure Data Services Best Practices
This is part of our complete data security guide.
Secure Data Services: Defined
Delete, disclose, or change, secure data services employ various methods and technologies to keep data safe from unauthorized access. Administrative controls, physical security, logical controls, organizational standards, and other safeguarding methods are employed to implement these services.
Protective measures get enacted to prevent unwanted access to databases, websites, and computers by implementing secured data. You can safeguard data against being corrupted or lost using this method. No firm, no matter how small or large, can afford to ignore the importance of securing data services. Businesses face serious risks if they don’t have a well-thought-out information security strategy.
In today’s world, secure data has become a critical issue in almost every industry. Secured data service is a personal necessity for everyone. Every company has a database full of valuable information that must be protected. If this information is compromised, businesses stand to lose a lot of money. Plus, their reputation will likely take a devastating blow.
“Data is the new oil,” as the saying goes. A company’s data is its most critical asset and businesses are willing to spend a lot of money to protect this data.
The solution to this issue is that secured data services have taken on a new meaning because everyone is concerned about their safety. This option is a good illustration of protecting personal information. If data is not secure, the firm will immediately get placed in the danger zone. As a result, data security is critical to the long-term success of the organization.
Mechanisms That Secure Data Services
You cannot defend against something you don’t even know exists. This means that you must be able to identify your data and the sensitivity of that data accurately. Ideally, you should be able to gather data from all sources, sort it according to the sensitivity and ease of access, see who is accessing your data, and how it is being shared. If your organization is unable to complete all of these they may be open to security risks. The following are some instances of secure data services that businesses require:
Only a user with the correct encryption key may access or decrypt encrypted data, making it a highly secure security measure. It is impossible to decipher encrypted information, commonly known as ciphertext if the data is accessed without permission.
Data Encryption is used to prevent unauthorized individuals from gaining access to confidential information. A critical component of secure data services, encryption makes it nearly impossible to use data that is collected. You can safeguard a wide range of sensitive information, from government secrets to personal credit card transactions. When it comes to creating an encryption scheme that requires a massive quantity of computational power to crack, cipher software is the tool of choice.
With data masking, you can replace the original value with a fictitious but realistic counterpart to protect sensitive data such as:
- De-identified information
Data obfuscation, or data masking, is another term for this practice.
Because you cannot recover the original data using decryption keys or other methods, masking assures that the modified data can still be used in non-production situations while still involving an irreversible procedure.
To preserve the data and respond quickly during a breach, Data Resilience is an essential strategy. Additionally, data resilience is concerned with responding to attacks and regaining access to data that has been lost or stolen. For this reason, operations can continue as normal at all times.
Secure Data Services Best Practices
The following are four secure data services best practices for safeguarding sensitive data that can assist you in enhancing your security and compliance posture.
Establishing a Data Usage Policy
A policy that outlines access, classification-based criteria for data access, who can see and use it, and what constitutes proper data use, among other things. This limits user access to specific regions and turns off the system when done.
Maintaining Endpoint Security Systems
There is a persistent threat to your network’s endpoints. Because of this, it is critical to have a robust endpoint security infrastructure in place to prevent data breaches from occurring.
Regular User Audit
Audits of system changes and attempts to access important data are necessary for proper information security. For example, the IT security administrator should get notified immediately if an account has had more than the allowed number of failed login attempts.
It is vital to keep an eye out for any sensitive data or rights changes. Using historical information on how sensitive data was used and who used it, can help you establish effective and accurate policies, and can help you anticipate how changes in your environment may impact security. This procedure can also assist you in identifying potential dangers of which you were previously unaware.
Implementing Data Loss Prevention Systems
Data loss prevention systems monitor workstations, servers, and networks to prevent sensitive data from being deleted, removed, moved, or copied. They also monitor who is using and transmitting data to spot unauthorized use.
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.