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docs/cse/get-started-with-cloud-siem/about-cse-insight-ui.md

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import useBaseUrl from '@docusaurus/useBaseUrl';
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import Iframe from 'react-iframe'; 
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This topic describes the Cloud SIEM UI for working with insights. 
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* **Threat indicators**. Any entity with a threat indicator will have an additional icon in the upper right. If the threat indicator is Malicious or Suspicious, the entity will be highlighted in red or yellow accordingly.
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* **Hover**. If you hover over an entity, it and all connections to it will be highlighted in blue. If its value is not fully visible by default, the full value will be displayed.
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:::sumo Micro Lesson
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Watch this micro lesson to learn more about the entity relationship graph.
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<Iframe url="https://fast.wistia.net/embed/iframe/7kpacy65bq?web_component=true&seo=true&videoFoam=false"
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width="854px"
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height="480px"
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title="Micro Lesson: Cloud SIEM Entity Timeline &amp; Relationship Graph Video"
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id="wistiaVideo"
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className="video-container"
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display="initial"
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position="relative"
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allow="autoplay; fullscreen"
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/>
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/>
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import Iframe from 'react-iframe'; 
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#### Entity details in the right pane
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docs/cse/get-started-with-cloud-siem/insight-generation-process.md

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import useBaseUrl from '@docusaurus/useBaseUrl';
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This page explains Cloud SIEM's insight generation process. 
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The concept of an *entity* is central to the process Cloud SIEM uses to correlate signals and create insights. So, what is an entity? In Cloud SIEM, an entity is a actor, for example, a hostname, username, or MAC address encountered in an incoming message. For more information about entities and entity types, see [View and Manage Entities](/docs/cse/records-signals-entities-insights/view-manage-entities).
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:::sumo Micro Lesson
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Watch this micro lesson to learn how insights are created.
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<Iframe url="https://fast.wistia.net/embed/iframe/5un1z2hwoe?web_component=true&seo=true&videoFoam=false"
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width="854px"
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height="480px"
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title="Micro Lesson: How are Insights Created? Video"
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id="wistiaVideo"
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className="video-container"
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## Entities in messages are mapped to entity-type schema attributes
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docs/cse/ingestion/sumo-logic-ingest-mapping.md

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import useBaseUrl from '@docusaurus/useBaseUrl';
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This topic has instructions for creating a Cloud SIEM ingest mapping for a data source. An ingest mapping gives Cloud SIEM the information it needs in order to map message fields to record attributes. These are referred to as mapping hints, and include: Format, Vendor, Product, and Event ID Pattern.
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:::note
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The use of ingest mappings is recommended only if there is no Sumo Logic parser or Cloud-to-Cloud connector for the target data source. For more information, see [Cloud SIEM Ingestion Best Practices](/docs/cse/ingestion/cse-ingestion-best-practices/).
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:::
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:::sumo Micro Lesson
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Watch this micro lesson to learn more about ingest mapping for Cloud SIEM:
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<Iframe url="https://fast.wistia.net/embed/iframe/vv7p1hquqj?web_component=true&seo=true&videoFoam=false"
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width="854px"
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height="480px"
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title="Micro Lesson: Preprocessing Data for Ingestion into Cloud SIEM Video"
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id="wistiaVideo"
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className="video-container"
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display="initial"
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import Iframe from 'react-iframe'; 
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Watch this micro lesson to learn about forwarding ingested data to Cloud SIEM:
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title="Micro Lesson: Forward data from Sumo Logic to Cloud SIEM Video"
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id="wistiaVideo"
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## Before you start
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docs/cse/records-signals-entities-insights/global-intelligence-security-insights.md

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This page describes Global Intelligence for security insights, implemented in Cloud SIEM as Global Confidence scores. This feature helps security analysts triage and prioritize insights.
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:::sumo Micro Lesson
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Watch this micro lesson to learn more about Global Intelligence for insights.
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title="Micro Lesson: Cloud SIEM Global Intelligence for Security Insights Video"
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className="video-container"
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## What is a Global Confidence score?
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An insight’s Global Confidence score represents a level of confidence, predicted by Sumo Logic’s Global Intelligence machine learning model, that the insight is actionable.

docs/cse/records-signals-entities-insights/view-manage-entities.md

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This topic has information about the **Entities** page in Cloud SIEM UI, which lists all of the entities in Cloud SIEM and their activity scores, and the **Entities > Details** page, which presents information about a particular entity, including signals and insights associated with the entity.
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The **Entities** page is useful for monitoring entities that are close to having an insight created. On the **Entities > Details** page, you can view signals and insights for an entity, and, as desired, manually create an insight from signals associated with the entity.
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You can also update the [tags](/docs/cse/records-signals-entities-insights/tags-insights-signals-entities-rules/), [suppression](/docs/cse/records-signals-entities-insights/about-signal-suppression/) state, and [criticality](/docs/cse/records-signals-entities-insights/entity-criticality/) assigned to entities, as described below in the [Update multiple entities](#update-multiple-entities) section below. 
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:::sumo Micro Lesson
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Watch this micro lesson to learn more about entities.
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title="Micro Lesson: Cloud SIEM Entities Video"
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## About entities
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docs/cse/rules/about-cse-rules.md

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A Cloud SIEM rule is logic that fires based on information in incoming records. When a rule fires, it creates a signal.
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For a complete list of out-of-the-box rules, see [Rules](https://github.com/SumoLogic/cloud-siem-content-catalog/blob/master/rules/README.md) in the [Cloud SIEM Content Catalog](https://github.com/SumoLogic/cloud-siem-content-catalog/blob/master/README.md).
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Watch this micro lesson to learn more about rules.
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## About rule expressions
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docs/cse/rules/insight-trainer.md

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[Cloud SIEM - Insight Trainer](/docs/integrations/sumo-apps/cse#insight-trainer) is a dashboard in the Enterprise Audit - Cloud SIEM app. Insight Trainer offers suggestions for making adjustments to rules, such as writing rule tuning expressions and changing severities. Implementing the recommendations causes rules to be more effective at creating high-fidelity signals, resulting in generation of more meaningful insights.
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Watch this micro lesson to learn how to use the Insight Trainer dashboard.
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title="Micro Lesson: Cloud SIEM Insight Trainer Video"
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## About Insight Trainer
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docs/cse/rules/rule-tuning-expressions.md

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This topic has instructions for creating and using tuning expressions for rules.
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Writing a tuning expression is just like writing a rule expression. A tuning expression can use metadata, record fields, and Cloud SIEM [rules language](/docs/cse/rules/cse-rules-syntax) functions. For more information, see [About rule expressions](/docs/cse/rules/about-cse-rules#about-rule-expressions).
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title="Micro Lesson: Rule Tuning in Cloud SIEM Video"
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## Create a tuning expression
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