Data security is becoming a more complicated and critical affair in the hybrid database and data warehouse environments. Coordinated data security management is important to different ranges of critical tasks, including making sure that each user has safe access to data and database applications by ensuring that the most sensitive data is not overexposed.
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This article will discuss some of the key elements in terms of data security administration, the risks related to it, and what all modern-day organizations need to consider safeguarding their data stores.
Data security management
Data security management is a comprehensive approach that consists of various standard processes and techniques for maintaining business data safe and protected from any unauthorized access. Total data security management focuses on protecting sensitive data as personal information, business intellectual property, customer details, etc. Data security management will involve creating different information security policies, identifying the possible risks, and spotting and tackling any security threats at the very first point.
Another important practice in data security management is sharing knowledge related to the data security best practices with the users, employees, and other database users. An example is alerting the employees about practicing caution while opening spam emails and suspectable attachments. There are many such security best practices to be followed by the database users, which you can comprehensively draft and provide frequent orientations to the users.
Possible data security threats and ways to tackle these
There are different types of threats while dealing with data security, and as the challenges grow in terms of intensity and size, no list is comprehensive in addressing these issues. But we will look into some of the most fundamental and frequent threats in data security and ways to tackle the same. For better management of enterprise database security administration, take services offered by RemoteDBA.
Malware is software that is specially designed to gain unauthorized access to databases and cause damages. Once the malware affects a computer, it will quickly spread through the network and attack all the connected devices. Malware comes in different forms: worms, viruses, spyware, Trojan horses, crimeware, etc. Malware can leak the access rights of the users, and the systems do their job.
This is an adverse social engineering technique, which will trick the users into making them open malicious email attachments shared through phishing emails. The precaution for phishing attacks is to establish a very strong cybersecurity policy and use tools to automatically block or tag the phishing messages and spam so that the users may not get those.
DDoS or distributed denial of services type of attacks may affect the servers and make them unusable. To mitigate the DDoS attacks, the users need to consider implementing a strong intrusion detection or intrusion prevention system, inspecting the network traffic, and log all malicious activities.
Hacking is an umbrella term covering all activities behind the attempts to intrude into the user systems and tamper with those.
The contractors or partners connected to the network but lacks sufficient network security knowledge may leave the systems vulnerable to attacks. Sometimes, they may also directly misuse the permissions given to them to damage the IT environment.
Some employees of the inside users themselves may try to steal enterprise data or damage the systems deliberately. For example, they may try to steal the data to set up another business or sell it in the black market. Sometimes it may revenge on the employer for a perceived or real problem.
Administrators and users may also make some ignorant or innocent mistakes, which may sometimes be too costly. Activities like copying files to personal devices, attaching a sensitive data file to an email by mistake, or accidentally clicking on a scam mail link with a compelling or alerting subject.
Best practices to follow in data protection
To build a layered technology for defense, it is important to understand the risks related to your cybersecurity administration and the measures to reduce them. It is also important to administer ways to measure the impact of your data protection measures and make further security investments if needed. Here are the operational best practices which will help you mitigate the data-related risks.
Implement compliance measures
Devising compliance requirements and following them as cybersecurity basics is important for data protection. The compliance regulations are devised to force the companies and users to defend any threats against sensitive enterprise data. Even though meeting the compliance requirements may not be just enough to ensure complete data security, this may be the right first step to get started with data protection risk management.
Have a policy that will clearly explain how to handle sensitive data and the consequences of violating such a policy also needed to be well defined. Make sure that all employees read through the policy and confirm understanding. Revise the policy from time to time based on the changing needs of times and reiterate continuous learning of the same by the employees.
Have a backup and recovery plan
Even when there are best practices followed in cybersecurity, there are chances that an attack or data loss may occur due to many unforeseen reasons. So, make sure that you have a very strong data backup and recovery plan in place. Companies must be prepared to confront and recovery from various breach scenarios ranging from data loss to destruction of their center.
Data security management, however, is not a one-time implementation project. This has to be continuously maintained and upgraded to ensure that your organization has a foolproof and updated data security practice in place. Also, make sure that you keep alerting and orienting the users and others with access to your database about the security best practices and policies to follow.