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DEVICE INTEGRATION
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CONNECTORS
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- 1Password Connector
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- Box
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- Cloudflare Logpull Connector Setup Guide
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- GitHub
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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 Visual Block
- Create a Call Block
- Create a Return Block
- Create a Notification Block
- Schedule a Workbook
- Native Workbook
- Workbook Functions
- How to view Workbooks?
- Add Parameters to Workbook
- Working with Pass through Content
- 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
- Signal Context Details
- Signal Confidence Levels
- Raise and View Signals
- Investigate Anywhere
- 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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MANAGING YOUR COMPONENTS
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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
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- 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
- 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
Flag matches with GreenSnow ThreatIntel
GreenSnow is a third party threat intel integration source available with DNIF in the form of an external dataset integration. It is possible to obtain a list of malicious IP addresses seen in many environments using GreenSnow.
GreenSnow Dataset Integration
An eventstore called greensnow is automatically scheduled and is displayed as shown below:

An enrichment bucket for the field $IP can be created to refer values from the greensnow eventstore.
Create a custom Enrichment Bucket
To be able to identify or flag any known malicious IP addresses in the log events, an enrichment bucket can be created which refers to data from an event store for GreenSnow ThreatIntel to flag these malicious IP addresses.
The yaml format is as follows:
bucket: IPv4
fields:
- SrcIP
- DstIP
- RemoteIP
- Domain
- System
schema-version: 1.0
source:
- enr_key: '{IP}'
enr_values:
translate:
IntelReference: IntelReference
IntelURL: IntelURL
ThreatType: Type
eventstore: greensnow
sourcetype: event_store
The enrichment bucket would identify the malicious IP in the log events coming from different sources and point to a specific IP address in the $System field.
| 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 bucket Source Type: Enter the source type i.e. dql/sql/eventstore Eventstore: For this scenario, enter the eventstore name (greensnow). Enr_key: Enter the desired values to be viewed in the output representation. For example, ‘{IP}’ Enr_values Translate: Allows you to replace the column names of the query result. To replace enter : For example, ThreatType: Type In this case, the column name ThreatType is replaced with Type. |
Save the enrichment bucket.
Run a Search
To check if enrichment has been added successfully, run a search on data to fetch enriched details. Enrichment will be applied to the field values mentioned in the enrichment bucket of yml file.

In the above screen, $Stream, $SrcPort, $DstIP, $SrcPort, $DstPort, $AssetGroup, $AssetName fileds display the details correlated to the IP Address in $SrcIP field.
From the query result, you can click the Information icon to further drill down to each entity in the result and verify the enriched details.

