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Nội dung chính

    What
    is Microsoft Sentinel?In this articleCollect data by using data connectorsCreate interactive
    reports by using workbooksCorrelate alerts into incidents by using analytics rulesAutomate and orchestrate
    common tasks by using playbooksInvestigate the scope and root cause of security threatsHunt for security threats by using built-in queriesEnhance your threat hunting with notebooksDownload security content from the communityWhat query language does Sentinel use?What are the 4 primary capabilities of Microsoft Sentinel?What should you use in Microsoft Sentinel?Which tool should be used with azure Sentinel to quickly gain insights across your data as soon as a data source is connected?

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What
is Microsoft Sentinel?

    Article 07/18/20226 minutes to read

In this article

Microsoft Sentinel is a scalable, cloud-native solution that
provides:

    Security information and sự kiện management (SIEM)Security orchestration, automation, and response (SOAR)

Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise. With Microsoft Sentinel, you get a single solution for attack detection, threat visibility, proactive hunting, and threat response.

Microsoft Sentinel is your bird’s-eye view across the enterprise alleviating the stress of increasingly
sophisticated attacks, increasing volumes of alerts, and long resolution time frames.

    Collect data cloud scale across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds.

    Detect previously undetected threats, and minimize false positives using Microsoft’s analytics
    and unparalleled threat intelligence.

    Investigate threats with artificial intelligence, and hunt for suspicious activities scale, tapping into years of cyber security work Microsoft.

    Respond to incidents rapidly with built-in orchestration and automation of common tasks.

Microsoft Sentinel natively incorporates proven Azure services, like Log Analytics and Logic Apps. Microsoft Sentinel enriches your investigation and detection with AI. It provides Microsoft’s threat intelligence stream and enables you to bring your own threat intelligence.

Note

This service supports
Azure Lighthouse, which lets service providers sign in to their own tenant to manage subscriptions and resource groups that customers have delegated.

Collect data by using data connectors

To on-board Microsoft Sentinel, you first need to
connect to your data sources.

Microsoft Sentinel comes with many connectors for Microsoft solutions that are available out of the box and provide real-time integration. Some of these connectors include:

    Microsoft sources like Microsoft 365 Defender, Microsoft Defender for Cloud, Office 365, Microsoft Defender for IoT, and more.Azure service
    sources like Azure Active Directory, Azure Activity, Azure Storage, Azure Key Vault, Azure Kubernetes service, and more.

Microsoft Sentinel has built-in connectors to the broader security and applications ecosystems for non-Microsoft solutions. You can also use common sự kiện format, Syslog, or REST-API to connect your data sources with Microsoft Sentinel.

For more information, see
Find your data connector.

Create interactive
reports by using workbooks

After you onboard to Microsoft Sentinel, monitor your data by using the integration with Azure Monitor workbooks.

Workbooks display differently in Microsoft Sentinel than in Azure Monitor. But it may be useful for you to see how to
create a workbook in Azure Monitor. Microsoft Sentinel allows you to create custom workbooks across your data. Microsoft Sentinel also comes with built-in workbook templates to allow you to quickly gain insights across your data as soon as you connect a data source.

Workbooks are intended for SOC engineers and analysts of all tiers to visualize data.

Workbooks are best used for high-level views of Microsoft Sentinel data, and don’t require coding knowledge. But you can’t integrate workbooks with external
data.

Correlate alerts into incidents by using analytics rules

To help you reduce noise and minimize the number of alerts you have to review and investigate, Microsoft Sentinel uses analytics to correlate alerts into incidents. Incidents are groups of related alerts that together indicate
an actionable possible-threat that you can investigate and resolve. Use the built-in correlation rules as-is, or use them as a starting point to build your own. Microsoft Sentinel also provides machine learning rules to map your network behavior and then look for anomalies across your resources. These analytics connect the dots, by combining low fidelity alerts about different entities into potential high-fidelity security incidents.

Automate and orchestrate
common tasks by using playbooks

Automate your common tasks and simplify security orchestration with playbooks that integrate with Azure services and your existing tools.

Microsoft Sentinel’s automation and orchestration solution provides a highly extensible architecture that enables scalable automation as new technologies and threats emerge.
To build playbooks with Azure Logic Apps, you can choose from a growing gallery of built-in playbooks. These include 200+ connectors for services such as Azure functions. The connectors allow you to apply any custom logic in code like:

    ServiceNowJiraZendeskHTTP requestsMicrosoft TeamsSlackWindows Defender ATP
    Defender for Cloud Apps

For example, if you use the ServiceNow ticketing system, use Azure Logic Apps to automate your workflows and open a ticket in ServiceNow each time a particular alert or incident is generated.

Playbooks are intended for SOC engineers and analysts of all tiers, to automate and simplify tasks, including data ingestion, enrichment, investigation, and remediation.

Playbooks work best with single, repeatable tasks,
and don’t require coding knowledge. Playbooks aren’t suitable for ad-hoc or complex task chains, or for documenting and sharing evidence.

Investigate the scope and root cause of security threats

Microsoft Sentinel deep investigation tools help you to understand the scope and find the root cause
of a potential security threat. You can choose an entity on the interactive graph to ask interesting questions for a specific entity, and drill down into that entity and its connections to get to the root cause of the threat.

Hunt for security threats by using built-in queries

Use Microsoft Sentinel’s powerful hunting search-and-query tools, based on the MITRE framework, which enable you to proactively hunt for security threats across your organization’s data sources, before an alert is triggered. Create custom detection rules based on
your hunting query. Then, surface those insights as alerts to your security incident responders.

While hunting, create bookmarks to return to interesting events later. Use a bookmark to share an sự kiện with others. Or, group events with other correlating events to create a compelling incident for investigation.

Enhance your threat hunting with notebooks

Microsoft Sentinel supports Jupyter notebooks in Azure Machine Learning workspaces, including full libraries for machine learning, visualization, and data analysis.

Use notebooks in Microsoft Sentinel to extend the scope of what you can do with Microsoft Sentinel data. For example:

    Perform analytics that aren’t built in to Microsoft Sentinel, such as some Python machine learning features.Create data visualizations that aren’t built in to Microsoft Sentinel, such as custom timelines and process trees.Integrate
    data sources outside of Microsoft Sentinel, such as an on-premises data set.

Notebooks are intended for threat hunters or Tier 2-3 analysts, incident investigators, data scientists, and security researchers. They require a higher learning
curve and coding knowledge. They have limited automation tư vấn.

Notebooks in Microsoft Sentinel provide:

    Queries to both Microsoft Sentinel and external dataFeatures for data enrichment, investigation, visualization, hunting, machine learning, and big data analytics

Notebooks are best for:

    More complex chains of repeatable tasksAd-hoc procedural controlsMachine learning and custom analysis

Notebooks tư vấn rich
Python libraries for manipulating and visualizing data. They’re useful to document and share analysis evidence.

Download security content from the community

The Microsoft Sentinel community is a powerful resource for threat detection and automation. Our Microsoft security analysts create and add new workbooks, playbooks, hunting queries, and more. They post these content items to the community for you to use in your environment.
Download sample content from the private community GitHub repository to create custom workbooks, hunting queries, notebooks, and playbooks for Microsoft Sentinel.

Next steps

    To get started with Microsoft Sentinel, you need a subscription to Microsoft Azure. If you don’t have a subscription, you can sign up for a
    không lấy phí trial.Learn how to onboard your data to Microsoft Sentinel, and get visibility into your data, and potential threats.

Feedback

Submit and view feedback for

What query language does Sentinel use?

Sentinel uses the Lucene query language for searching events. This section provides an overview of how to use the Lucene query language to perform searches in Sentinel. For more advanced features, see Apache Lucene – Query Parser Syntax.

What are the 4 primary capabilities of Microsoft Sentinel?

With Microsoft Sentinel, you get a single solution for attack detection, threat visibility, proactive hunting, and threat response.

What should you use in Microsoft Sentinel?

Microsoft Sentinel integrates with many enterprise tools, including best-of-breed security products, homegrown tools and other systems like ServiceNow. It provides an extensible architecture to tư vấn custom collectors through REST API and advanced queries.

Which tool should be used with azure Sentinel to quickly gain insights across your data as soon as a data source is connected?

Which tool should be used with Microsoft Sentinel to quickly gain insights across your data as soon as data source is connected? Azure Monitor Workbooks.
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