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DEVICE INTEGRATION
- Palo Alto (Device Integration)
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CONNECTORS
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- 1Password Connector
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DATA INGESTION
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HUNTING WITH WORKBOOKS
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- Your first FIND with the HYPERCLOUD
- Create a Search Block
- Create a Signal Block
- Create a Text Block
- Create an Outlier Block
- Create a DQL Block
- Create an SQL Block
- Create a Code Block
- Create a Visualisation Block
- Create a Call Block
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- Create a Notification Block
- Schedule a Workbook
- Native Workbook
- Workbook Functions
- How to view Workbooks?
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- How to create a Workbook?
- Workbooks
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DNIF Query Language (DQL Language)
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SECURITY MONITORING
- Streamline Alert Analysis with Signal Tagging
- Workbook Versioning: Track, Collaborate, and Restore with Ease
- What is Security Monitoring?
- Creating Signal Suppression Rules
- Why EBA
- Signal Suppression Rule
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- What are signals?
- View Signal Context Details
- Suspect & Target
- Source Stream
- Signal Filters
- Signal Data export
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- How to add a signal to a case?
- Graph View for Signals
- Global Signals
- False Positives
- Add Multiple Signals to a Case
- Add comment to the signal
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OPERATIONS
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MANAGE DASHBOARDS
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MANAGE REPORTS
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USER MANAGEMENT & ACCESS CONTROL
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BILLING
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GETTING STARTED
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INSTALLATION
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AUTOMATION
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TROUBLESHOOTING AND DEBUGGING
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- TLS ( Troubleshooting Procedure)
- TCP (Troubleshooting Procedure)
- Syslog (Troubleshooting Procedure)
- Salesforce ( Troubleshooting Procedure)
- PICO
- Office 365 (Troubleshooting Procedure)
- GSuite
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- Beats (Troubleshooting Procedure)
- Azure NSG ( Troubleshooting Procedure)
- Azure Eventhub
- AWS S3 (Troubleshooting Procedure)
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LICENSE MANAGEMENT
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RELEASE NOTES
- February 26, 2026 - Content Update
- January 19,2026 - Content Update
- December 23, 2025 - Application Update
- December 4,2025 - Content Update
- November 27, 2025 - Application Update
- October 28, 2025 - Content Update
- August 20, 2025 - Content Update
- August 5, 2025 - Application Update
- July 15, 2025 - Content Update
- June 13, 2025 - Content Update
- May 21, 2025 - Content Update
- April 17, 2025- Content Update
- March 25, 2025- Content Update
- March 18, 2025 - Application Update
- March 5, 2025 - Application Update
- January 27, 2025 - Application Update
- January 29, 2025 - Content update
- December 30, 2024 - Content Update
- December 12, 2024 - Content Update
- December 3, 2024 - Application Update
- November 15, 2024 - Content Update
- October 26, 2024- Application Update
- October 23, 2024 - Content Update
- October 16, 2024 - Application Update
- September 04, 2024 - Application Update
- September 04, 2024 - Content Update
- August 27, 2024 - Application Update
- July 30, 2024 - Application Update
- June 04, 2024- Application Update
- April 24, 2024- Application Update
- March 26, 2024 - Application Update
- February 19, 2024 - Application Update
- January 09, 2024 - Content Update
- January 09, 2024 - Application Update
- November 27, 2023 - Content Update
- November 27, 2023 - Application Update
- October 05, 2023 - Application Update (Release Notes v9.3.3)
- May 30, 2023 - Application Update (Release Notes v9.3.2)
- November 29, 2022 - Application Update (Release Notes v9.3.0)
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API
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POLICIES
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SECURITY BULLETINS
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BEST PRACTICES
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DNIF AI
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DNIF LEGAL AND SECURITY COMPLIANCE
Define Custom Enrichment Bucket
This section will help you understand the procedure to create a custom enrichment bucket as per your requirement.
- To create a custom enrichment, click the plus icon on the Enrichment list page.

- Enter a name for the enrichment bucket you are about to create and you can directly start writing in the yaml editor.

The yaml format is as follows:
bucket: User
fields:
- User
schema-version: 1.0
source:
- sourcetype: sql
query: "SELECT $SuspectUser, SUM($DetectionScore) as $Score, $Occurrences FROM SIGNALS GROUP BY $SuspectUser, $Occurrences HAVING $Score > 5 ORDER BY $Score DESC LIMIT 10;"
enr_key: '{$SuspectUser}@net-mon.net'
enr_values:
annotate:
UserRisk: HIGH
translate:
$Occurrences : Count
$Score : RiskScore
| Field | Description |
| Bucket | Enter the name for the enrichment bucket. |
| Fields | Enter the field names to be enriched. |
| schema-version | Enter the schema version |
| Source | List of sources for the enrichment bucket. Note: There can be multiple sources for one enrichment bucketSource Type: Enter the source type i.e. dql/sql/eventstoreQuery/Eventstore: Enter the query incase of dql/sql or enter the eventstore name incase if source type is eventstoreEnr_key: Enter the desired value to be detected in output representation. For example, ‘{$FirstName}.{$LastName}@net-mon.net’Enr_valuesThe following are two valuesAnnotate: Static key value pair to be added to every row of enrichment bucket. For example: User risk,User occupationTranslate: Allows you to replace the column names of the query result. To replace enter <column name>: <new column name>$Occurrences: Count In this case, the column name $Occurrences is replaced with $Count |
- Click Submit after writing the enrichment and it will be listed in the enrichment list.
To check if enrichment has been added successfully, execute the query from the yml file to fetch enriched details. Enrichment will be applied to the field values mentioned in the enrichment bucket of yml file.
Example: On executing the query from the above mentioned yml file, the list of enriched users will be displayed ( this is because in the given yml, the enrichment is been applied on users [refer $fields section], this will vary as per the enrichment bucket )
From the query result, you can further drill down to each entity in the result and verify the enriched details.
