As discussed in my two previous posts, Azure Sentinel provides a variety of methods for importing threat intelligence directly into the ThreatIntelligenceIndicator Logs table where it can be used to power Analytics, Workbooks, Hunting, and other experiences.
However, Azure Sentinel also allows you to leverage massive repositories of external intelligence data as enrichment sources to enhance the triage and investigation experience of security incidents. Using the built-in automation capabilities of Azure Sentinel you can take any incident created through Azure Sentinel analytics rules, and retrieve additional context about the entities from third party sources, and make this context readily available to your security operations personnel to aid triage and investigation.
Today, we are announcing the availability of the RiskIQ Intelligence Connector for Azure Sentinel which allows you to tap into petabytes of external threat intelligence from RiskIQ's Internet Intelligence Graph. Incidents can be enriched automatically using Azure Sentinel Playbooks, saving time and resources for your security responders. This blog will walk you through the setup, configuration, and show you how the rich context from the new RiskIQ Intelligence Connector playbooks is surfaced in Azure Sentinel security incidents.
Each RiskIQ enrichment playbook leverages one or more RiskIQ Security Intelligence Service APIs to provide up to the minute threat and contextual information. To learn more about the service and request a trial key, see the API documentation.
The set of RiskIQ Intelligence Connector playbooks are located in the Azure Sentinel GitHub repository.
In this blog we'll use the Enrich-SentinelIncident-RiskIQ-IP-Passive-DNS playbook as an example.
Once the playbook has been imported into your Azure Sentinel instance your will need to edit the playbook to configure the connections. Certain playbook actions require additional connection information to function, most commonly these are in the form of credentials for actions that require connecting to APIs. In this example, the playbook requires two connections, one for Azure Sentinel to read security alerts and the second for RiskIQ APIs to query for enrichment context for entities found in alerts.
Now that the Recent-IP-Passive-DNS playbook is installed and configured you can use it with the built-in Azure Sentinel automation framework in your analytics rules. Let's take a look at how to associate this playbook with an analytic rule to enrich security incidents and give your security responders additional context for triage and investigation.
AzureActivity | take 1 | extend IPCustomEntity = "126.96.36.199"
The Recent-IP-Passive-DNS playbook queries the RiskIQ passive DNS database and retrieves any domains from the last 30 days associated with the IP address found in the security alert. It then adds this enrichment information to the resulting security incident so your security responders can easily access this additional context with triaging the incident. Let's take a look at this experience for your security responders.
In this post you learned how to obtain, configure, and associate the RiskIQ Intelligence Connector playbooks with analytics rules to enrich security incidents with additional context. Azure Sentinel, when combined with RiskIQ, has the potential to reshape how security teams operate, seamlessly integrating the most comprehensive external visibility with the advanced threat detection, AI, and orchestration found in Azure Sentinel.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.