Integrate More Data Sources in Microsoft Sentinel

1. Integrate More Data Sources in Microsoft Sentinel

a. Add Data Connectors

1. Navigate to Microsoft Sentinel in the Azure portal.
2. Select your Sentinel workspace.
3. In the Sentinel dashboard, go to Data connectors under the Configuration section.
4. Browse the available data connectors for third-party services, such as:
   • AWS CloudTrail
   • Cisco ASA Firewall
   • Palo Alto Networks
   • Okta
   • Fortinet FortiGate
5. Enable a Connector:
   • Click on the desired connector.
   • Follow the instructions provided to configure integration (e.g., API keys, authentication tokens, or forwarding logs).
   • Ensure that the required permissions and data flows are enabled on the source platform.

b. Ingest Logs from On-Premises Systems (e.g., Firewalls, SIEMs)

1. Use Log Analytics Agent:
   • Deploy the agent on on-premises servers or firewalls.
   • Configure the agent to forward logs to Azure Monitor.
2. Use Logstash or Syslog:
   • Forward logs from on-premises firewalls or SIEMs like Splunk using Syslog or Logstash.
   • Set up a Syslog or CEF collector in Azure Sentinel.

   Example steps for Syslog:

   • Create a Linux VM in Azure and configure it as a Syslog forwarder.
   • Install the Log Analytics agent on the VM and connect it to the Sentinel workspace.

2. Custom Log Ingestion

For unique data formats or non-standard logs, Sentinel supports Custom Logs.

a. Use Azure Monitor Custom Log Ingestion

1. Prepare a sample log file with the unique data format.
2. Go to Azure Monitor > Log Analytics Workspaces.
3. Open your workspace and select Custom Logs under the Settings menu.
4. Upload the sample log file to create a new custom log data type.
5. Define a log structure by specifying delimiters, fields, and naming conventions.

b. Ingest Data via APIs

1. Use Sentinel’s HTTP Data Collector API to push logs programmatically.
   • Generate a Shared Access Signature (SAS) token for secure API access.
   • Send logs in JSON format to the Log Analytics workspace.
2. Example API Call:

   POST https://<workspace-id>.ods.opinsights.azure.com/api/logs?api-version=2016-04-01
   Content-Type: application/json
   Authorization: SharedKey <workspace-id>:<shared-key>
   
   [
      {
         "Property1": "Value1",
         "Property2": "Value2",
         "Timestamp": "2024-12-14T12:00:00Z"
      }
   ]
   

3. Automation and Scaling

a. Azure Sentinel Playbooks

• Use Logic Apps to automate incident handling.
• Example: Automatically open a ticket in a service desk tool (e.g., ServiceNow) for specific types of alerts.

b. Custom Connectors

1. Develop Azure Functions or Custom Scripts to process specific data sources or transform logs.
2. Use the custom connector framework to extend Sentinel.

Let me know if you’d like examples of specific configurations or help with setting up any of the steps above!