![]() Modifying other default RDS configurations not related to the security controls covered in this blog post is outside of the scope of this post. Follow the launch wizard until you reach Step 3 – Configure advanced settings. Let’s review what we will modify as part of the RDS security controls described later in the post. For the purposes of this blog post, I work with an Aurora MySQL database instance. To get to the security configuration settings, navigate to RDS in the AWS Management Console.Ĭhoose Create Database. Defense in depthīefore I dive into the security controls for defense in depth within RDS, let’s look at the RDS launch wizard sections that cover the security configurations described later in this post. To learn more, see AWS Single VPC Design on the AWS Answers site. Balance this out with any requirements to have nonconflicting IP address space between your Amazon VPC and on-premises data center or between VPCs. Design your CIDR ranges so they can support growth within a subnet (more IP addresses) and growth in the number of subnets. The size of your CIDR ranges determines the number of IP addresses each of your subnets can sustain. When implementing security-zone modeling, carefully consider your networking design. I show how to implement security zones with network ACLs in the Security groups and network ACLs section later in this post. ![]() We recommend this so that you have the entire subnet as the network flow control barrier. ![]() Security-zone modelingĪfter you design your security zones, implement them using network access control lists (ACLs). A case when you might not need these is if you don’t have any highly sensitive data like credit card numbers or Social Security numbers in your database. For example, you might not need some of the specialized security controls like tokenization of data or security microsegmentation, both described later in this post. To decide which of the security controls described later in this post apply to you, understand the classification of your data. For a deeper description than provided here and for the concepts behind data classification and security-zone modeling, see the first post of the series. Data classification and security-zone modelingįor a refresher on data classification and security-zone modeling, see following. Let’s walk through the implementation of the security concepts in the order in which they were described in the first post. In these cases, I include implementation examples from Amazon Aurora with MySQL compatibility but also point you to where to get the information for other database engines. In this second post, I demonstrate how these concepts can be implemented to Amazon RDS databases.Īlthough many of the implementation examples are common to all RDS database engines, a few might differ based on the individual engine type. Using these, you can create a stronger security posture around your data. You may want to see visit this link for more information.In the first post of the series, I described some generic security concepts and corresponding AWS security controls that can be applied to data stores on AWS. Lightweight Directory Access Protocol (LDAP) ServerĪctive Directory runs under the LSASS process and in addition, a range of ephemeral TCP ports between 105, the domain controller, and the client computing application servers need to be hard-coded network connection through a specific port Directory the Active. Application protocolĪctive Directory Management Gateway Service However, if these technologies are configured to block ports and protocols that are used by a specific server, that server will no longer respond to client requests. Dedicated firewalls, host-based firewalls, and Internet Protocol security (IPSec) filters are other important components that are required to help secure your network. Microsoft server products use a variety of network ports and protocols to communicate with client systems and with other server systems over the network.
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