mirror of
https://github.com/MicrosoftDocs/windows-itpro-docs.git
synced 2025-05-15 14:57:23 +00:00
add best practices
This commit is contained in:
parent
b3bfb746ba
commit
5c3cce9cf9
@ -1,5 +1,5 @@
|
||||
---
|
||||
title: Advanced hunting table reference in Windows Defender ATP
|
||||
title: Advanced hunting reference in Windows Defender ATP
|
||||
description: Learn about advanced hunting table reference such as column name, data type, and description
|
||||
keywords: advanced hunting, atp query, query atp data, intellisense, atp telemetry, events, events telemetry, azure log analytics, column name, data type, description
|
||||
search.product: eADQiWindows 10XVcnh
|
||||
@ -13,7 +13,7 @@ ms.localizationpriority: high
|
||||
ms.date: 04/16/2018
|
||||
---
|
||||
|
||||
# Advanced hunting table reference in Windows Defender ATP
|
||||
# Advanced hunting reference in Windows Defender ATP
|
||||
|
||||
**Applies to:**
|
||||
|
||||
@ -25,12 +25,21 @@ ms.date: 04/16/2018
|
||||
|
||||
[!include[Prerelease information](prerelease.md)]
|
||||
|
||||
## Advanced hunting query best practices
|
||||
The following best practices serve as a guideline for you to maximize the advanced hunting capability.
|
||||
- Use time filters first. Azure Kusto is highly optimized to utilize time filters. For more information, see [Azure Kusto](https://docs.microsoft.com/connectors/kusto/).
|
||||
- Put filters that are expected to remove most of the data in the beginning of the query, following the time filter.
|
||||
- Prefer 'has' keyword over 'contains' when looking for full tokens.
|
||||
- Prefer looking in specific column rather than using full text search across all columns.
|
||||
- When joining between two tables - choose the table with less rows to be the first one (left-most).
|
||||
- When joining between two tables - project only needed columns from both sides of the join.
|
||||
|
||||
|
||||
## Advanced hunting table reference
|
||||
When you run a query using Advanced hunting, a table with columns is returned as a result.
|
||||
|
||||
Use the following table to understand what the columns represent, its data type, and their description.
|
||||
|
||||
## Advanced hunting table reference
|
||||
|
||||
| Column name | Data type | Description
|
||||
:---|:--- |:---
|
||||
| AccountDomain | string | Domain of the account. |
|
||||
|
@ -36,7 +36,18 @@ To get you started in querying your data, you can use the basic or advanced quer
|
||||
|
||||

|
||||
|
||||
## Query data in advanced hunting
|
||||
## Before you begin
|
||||
To maximize the advanced hunting capability, it's a good idea to understand the following query best practices.
|
||||
|
||||
### Query best practices
|
||||
- Use time filters first. Azure Kusto is highly optimized to utilize time filters. For more information, see [Azure Kusto](https://docs.microsoft.com/connectors/kusto/).
|
||||
- Put filters that are expected to remove most of the data in the beginning of the query, following the time filter.
|
||||
- Prefer 'has' keyword over 'contains' when looking for full tokens.
|
||||
- Prefer looking in specific column rather than using full text search across all columns.
|
||||
- When joining between two tables - choose the table with less rows to be the first one (left-most).
|
||||
- When joining between two tables - project only needed columns from both sides of the join.
|
||||
|
||||
## Use advanced hunting to query data
|
||||
|
||||
A typical query starts with a table name followed by a series of operators separated by **|**.
|
||||
|
||||
@ -51,7 +62,7 @@ We then add a filter on the _FileName_ to contain only instances of _powershell
|
||||
Afterwards, we add a filter on the _ProcessCommandLine_
|
||||
Finally, we project only the columns we're interested in exploring and limit the results to 100 and click **Run query**.
|
||||
|
||||
### Operators
|
||||
### Use operators
|
||||
The query language is very powerful and has a lot of available operators, some of them are -
|
||||
|
||||
- **limit** - Return up to the specified number of rows.
|
||||
@ -67,11 +78,11 @@ The query language is very powerful and has a lot of available operators, some o
|
||||
|
||||
To see a live example of these operators, run them as part of the **Get started** section.
|
||||
|
||||
## Query language documentation
|
||||
## Access query language documentation
|
||||
|
||||
For more information on the query language and supported operators, see [Query Language](https://docs.loganalytics.io/docs/Language-Reference/).
|
||||
|
||||
## Tables in advanced hunting
|
||||
## Use exposed tables in advanced hunting
|
||||
|
||||
The following tables are exposed as part of advanced hunting:
|
||||
|
||||
@ -85,7 +96,7 @@ The following tables are exposed as part of advanced hunting:
|
||||
- **MiscEvents** - Stores several types of events, including Windows Defender Exploit Guard, Windows Defender SmartScreen, Windows Defender Application Guard, and Firewall events.
|
||||
- **SuspiciousEvents** - Stores all events that deviate from typical event behavior
|
||||
|
||||
## Shared queries
|
||||
## Use shared queries
|
||||
Shared queries are prepopulated queries that give you a starting point on running queries on your organization's data. It includes a couple of examples that help demonstrate the query language capabilities.
|
||||
|
||||

|
||||
@ -132,7 +143,7 @@ The results set has several capabilities to provide you with effective investiga
|
||||
|
||||

|
||||
|
||||
## Filters on results in advanced hunting
|
||||
## Filter results in advanced hunting
|
||||
In advanced hunting, you can use the advanced filter on the output results set of the query.
|
||||
The filters provide an overview of the result set where
|
||||
each column has it's own section and shows the distinct values that appear in the column and their prevalence.
|
||||
@ -143,13 +154,7 @@ You can refine your query based on the filter by clicking the "+" or "-" buttons
|
||||
|
||||
The filter selections will resolve as an additional query term and the results will be updated accordingly.
|
||||
|
||||
## Query best practices
|
||||
- Use time filters first. Kusto is highly optimized to utilize time filters.
|
||||
- Put filters that are expected to remove most of the data in the beginning of the query, following the time filter.
|
||||
- Prefer 'has' keyword over 'contains' when looking for full tokens.
|
||||
- Prefer looking in specific column rather than using full text search across all columns.
|
||||
- When joining between two tables - choose the table with less rows to be the first one (left-most).
|
||||
- When joining between two tables - project only needed columns from both sides of the join.
|
||||
|
||||
|
||||
## Public Advanced Hunting query GitHub repository
|
||||
Check out the [Advanced Hunting repository](https://github.com/Microsoft/Advanced-Hunting-Queries). Contribute and use example queries shared by our customers.
|
||||
|
Loading…
x
Reference in New Issue
Block a user