SQL Security from Disastrous SQL Injection Attacks
The SQL injection (SQLi) was initially discovered in 1998, but even today, it is still a top priority when it comes to ensuring database security. That’s because an attack can easily result in a series of negative events, such as the attacker being able to modify web content, access sensitive information, and delete data. For this reason, SQL security must be built to ensure that your databases are protected against any disastrous attack, including SQL injections.
Is your database vulnerable?
In preventing a SQLi, you need to determine which applications are likely vulnerable to it. Actually, any website interacting with SQL databases will be at risk. It can be challenging to monitor and oversee all database activity to identify and intercept attacks, but there are security solutions you can consider to make the task easier and constantly up-to-date.
Web-based database activity monitoring
First, you might want to implement a web-based DAM that will serve as the centralized platform for logging all kinds of user activities. It will strengthen your SQL security by offering full visibility over who is accessing the data, for what reason, and when. IP addresses, database username, user IDs, time, queries, and wrong login attempts are just some of the activities that can be logged.
Secure the server with third-party tools
Securing your database should include antimalware and antivirus remediation, as well as integration of third-party log and metrics management software, such as Sumologic and Splunk. This way, the database activity monitoring tool will send the log files to the third-party log management software for ongoing data access monitoring. This helps increase SQL security by proactively finding anomalies and responding to external and internal attacks.
Security can be further enhanced with dynamic data masking, which must be based on predefined policy. This way, administrators can provide end users access only to the data they need, and they do not have to make a separate database.