![]() ![]() Many ASIM parsers are available out of the box with Microsoft Sentinel. Query time parsersĪSIM uses query time parsers to map existing data to the normalized schemas using KQL functions. Each schema defines the fields that represent an event, a normalized column naming convention, and a standard format for the field values.ĪSIM currently defines the following schemas:įor more information, see ASIM schemas. Normalized schemas cover standard sets of predictable event types that you can use when building unified capabilities. Use your normalized data in both Microsoft and custom analytics, rules, workbooks, queries, and more.ĪSIM includes the following components: Normalized schemas For example, you can start with a custom, product-specific, non-normalized table, and use a parser and a normalization schema to convert that table to normalized data. The following image shows how non-normalized data can be translated into normalized content and used in Microsoft Sentinel. The project also provides a Common Information Model (CIM) that can be used for data engineers during data normalization procedures to allow security analysts to query and analyze data across diverse data sources.įor more information, see the OSSEM reference documentation. OSSEM is a community-led project that focuses primarily on the documentation and standardization of security event logs from diverse data sources and operating systems. After an analyst learns ASIM, writing queries is much simpler as the field names are always the same.ĪSIM and the Open Source Security Events MetadataĪSIM aligns with the Open Source Security Events Metadata (OSSEM) common information model, allowing for predictable entities correlation across normalized tables. ![]() Support for your custom sources, in built-in analyticsĮase of use. For example, process event analytics support any source that a customer may use to bring in the data, such as Microsoft Defender for Endpoint, Windows Events, and Sysmon. The coverage of both built-in and custom content using ASIM automatically expands to any source that supports ASIM, even if the source was added after the content was created. Normalized analytics rules work across sources, on-premises and cloud, and detect attacks such as brute force or impossible travel across systems, including Okta, AWS, and Azure. Common ASIM usageĪSIM provides a seamless experience for handling various sources in uniform, normalized views, by providing the following functionality:Ĭross source detection. The Azure Preview Supplemental Terms include additional legal terms that apply to Azure features that are in beta, preview, or otherwise not yet released into general availability. ![]() Refer to the next steps section for more details.ĪSIM is currently in PREVIEW. ![]() This article provides an overview of the Advanced Security Information Model (ASIM), its use cases and major components. Using the robustness principle as design pattern, ASIM transforms the proprietary source telemetry collected by Microsoft Sentinel to user friendly data to facilitate exchange and integration. ASIM follows the robustness principle: "Be strict in what you send, be flexible in what you accept". The Advanced Security Information Model (ASIM) is a layer that is located between these diverse sources and the user. Correlating between different types of data during an investigation and hunting can also be challenging. Sometimes, you'll need separate rules, workbooks, and queries, even when data types share common elements, such as firewall devices. Working with various data types and tables together requires you to understand each of them, and write and use unique sets of data for analytics rules, workbooks, and hunting queries for each type or schema. Microsoft Sentinel ingests data from many sources. ![]()
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