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As more organizations move towards the cloud, they require a solution that can analyze and detect threats in real-time. Microsoft Sentinel provides this solution by ingesting data from various sources and using it to detect threats. However, ingesting large amounts of data can be a challenge, especially when dealing with data from different sources that have different formats. To address this, Microsoft Sentinel uses Advanced SIEM Information Model (ASIM) parsers to normalize data, which makes it easier to analyze and detect threats. In this post, we will discuss ASIM parsers and how to develop and manage them.
ASIM parsers are used to normalize data from different sources. They convert data from various formats into a common format that is used by Microsoft Sentinel. ASIM parsers use a schema to define the data format, which enables Microsoft Sentinel to understand the data and analyze it. Once the data has been normalized, it can be analyzed using Microsoft Sentinel’s built-in rules and machine learning models.
ASIM parsers can be developed for different types of data, including Windows events, Syslog events, and custom logs. Each ASIM parser is designed to handle a specific type of data, and it uses a schema that defines the structure of the data. When developing an ASIM parser, it is important to understand the structure of the data and the format that it is in.
To develop an ASIM parser, you need to have a good understanding of the structure of the data that you want to normalize. You also need to understand the format of the data and how it is stored. Once you have this information, you can start developing the ASIM parser.
ASIM parsers are developed using the Kusto Query Language (KQL), which is used by Microsoft Sentinel to query and analyze data. KQL is a powerful language that allows you to create complex queries and analyze large amounts of data. When developing an ASIM parser, you use KQL to define the schema for the data.
ASIM parsers can be managed using the Microsoft Sentinel portal. You can create, edit, and delete ASIM parsers from the portal. When managing ASIM parsers, it is important to ensure that they are up to date and that they are correctly parsing the data.
ASIM parsers can be tested using the Microsoft Sentinel query builder. This allows you to test the parser on sample data to ensure that it is working correctly. You can also monitor the performance of ASIM parsers to ensure that they are not causing any issues.
ASIM parsers are an essential part of Microsoft Sentinel. They enable data from different sources to be normalized and analyzed, making it easier to detect and respond to threats. Developing and managing ASIM parsers requires a good understanding of the data structure and format. ASIM parsers can be developed using KQL, and they can be managed using the Microsoft Sentinel portal. By using ASIM parsers, organizations can improve their threat detection capabilities and respond to threats in real-time.
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