Infrastructure Security in Kinesis Data Analytics for SQL Applications - Amazon Kinesis Data Analytics for SQL Applications Developer Guide
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

For new projects, we recommend that you use the new Managed Service for Apache Flink Studio over Kinesis Data Analytics for SQL Applications. Managed Service for Apache Flink Studio combines ease of use with advanced analytical capabilities, enabling you to build sophisticated stream processing applications in minutes.

Infrastructure Security in Kinesis Data Analytics for SQL Applications

As a managed service, Amazon Kinesis Data Analytics is protected by the Amazon global network security procedures that are described in the Amazon Web Services: Overview of Security Processes whitepaper.

You use Amazon published API calls to access Kinesis Data Analytics through the network. Clients must support Transport Layer Security (TLS) 1.2 or later. Clients must also support cipher suites with perfect forward secrecy (PFS) such as Ephemeral Diffie-Hellman (DHE) or Elliptic Curve Ephemeral Diffie-Hellman (ECDHE). Most modern systems such as Java 7 and later support these modes.

Additionally, requests must be signed by using an access key ID and a secret access key that is associated with an IAM principal. Or you can use the Amazon Security Token Service (Amazon STS) to generate temporary security credentials to sign requests.