![]() ![]() The wide variety of potential data types as log sources means that the consideration paid to eachĭifferent data type is important at the outset of an Azure Sentinel project. The full processing can be performed within the Azure Sentinel environment and is limited only by the automation capabilities provided by the third-party security controls required to provide information or perform additional tasks. The main engine behind the Azure Sentinel automation capability is Azure Logic Apps.Azure Sentinel playbooks can perform very advanced tasks with activities branching based on criteria identified in alerts or data retrieved using indicators collected in alerts. Those might be API-based on integration or Logic App-based integrations. While all the types above focused on getting telemetry into Azure Sentinel, connectors marked as automation/integration enable Azure Sentinel to implement other use cases such as sending information to another system or performing an action on another system. Net, Python, PowerShell, and recently, Node.js and can be used to perform a wide range of log ingestion tasks, including but not limited to log retrieval via REST APIs, pagination, filtering or parsing, and enrichment of data. ![]() Functions apps provide the full capabilities of. As a low-footprint, relatively inexpensive resource, Azure Function Apps are one of the most stable and performant log ingestion methods.Sources for which there is a community or Microsoft field-created solution that uses the API, usually using Logic Apps or an Azure function.Sources that have native support for the API.Sources that support Logstash have an output plug-in that can send the events to Azure Sentinel.In addition to CEF and Syslog, many solutions are based on Sentinel’s data collector API and create custom log tables in the workspace. Custom: Logic Apps, Logstash, Azure Functions, Rest API and others To ingest threat intelligence indicators, which are used by Azure Sentinel’s built-in TI analytics rules, and to build your own rules. TAXII, which uses the TAXII 2.0 protocol.Platform, which uses the Graph Security API.You can use one of the threat intelligence connectors: This is collected via MMA Custom Log settings. Any logs from other applications running on the same machine where MMA agent is running. Microsoft Internet Information Server (IIS) Web Servers logs can be collected via this agent. Windows and Linux machines deployed on-premises or in any other cloud environments. The Log Analytics agent can collect different types of events from servers and endpoints listed here. For Microsoft Azure sources, this often uses their diagnostics feature. Most Microsoft cloud sources and many other clouds and on-prem systems can send to Azure Sentinel natively. The table links the source device’s vendor documentation for configuring the device to send events in Syslog or CEF. The number of systems supporting Syslog or CEF is in the hundreds, making the table below by no means comprehensive. However, unlike many other SIEM products, Sentinel allows ingesting unparsed Syslog events and performing analytics on them using query time parsing. The advantage of CEF over Syslog is that it ensures the data is normalized, making it more immediately useful for analysis using Sentinel. This makes Syslog or CEF the most straightforward ways to stream security and networking events to Azure Sentinel. Most network and security systems support either Syslog or CEF (which stands for Common Event Format) over Syslog as means for sending data to a SIEM. Refer to the Azure Sentinel connector documentation for more information. This list is not actively maintained anymore. Consider the built-in data connectors over custom ones, where feasible, as they are fully supported by Microsoft and the Azure Sentinel community. New data connectors for other products are added on a regular basis. This includes Azure Active Directory, Azure subscription activity, Office 365,Īnd the whole family of Microsoft Defender products. Provided as add-on services from other SIEM providers.Īzure Sentinel includes many connectors that can be deployed in a few clicks via the Azure Sentinel portal and the requisite RBAC permissions. Additionally, Azure Sentinel can make use of infrastructure as a service (IaaS) and platform as a service (PaaS) available in Azure to deliver capabilities like workflow automation and long-term log retention that is typically Azure Sentinel is deployed in an organization’s Azure tenant and accessed via the Microsoft Azure portal, ensuring alignment with preexisting organizational policies.Īzure Sentinel allows organizations to ingest, correlate, and analyze security signals from across the enterprise. ![]() Azure Sentinel is Microsoft’s cloud-native SIEM solution and the first cloud-native SIEM from a major public cloud provider. ![]()
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