What programming language is typically used for writing custom rules in QRadar?

In QRadar, custom rules are primarily written using AQL, which stands for Ariel Query Language. AQL is specifically designed for querying and analyzing large datasets in QRadar's Ariel database, allowing users to create complex rules that can filter, aggregate, and analyze security data effectively.

AQL is integral to QRadar’s functionality as it enables security analysts to derive insights from data collected by QRadar, assisting in real-time monitoring and threat detection. The syntax and structure of AQL have been tailored to leverage QRadar's capabilities, making it the ideal choice for implementing custom rules related to security information and event management tasks.

While other programming languages like Python, Java, or C++ have their respective uses in various programming contexts, they are not specifically designed for creating custom QRadar rules. Python might be used for scripting or automation processes, Java could be involved in application development or integration tasks, and C++ is often related to system-level programming or performance-critical applications. However, for the specific purpose of writing custom rules within the QRadar environment, AQL is the correct and specialized choice.