Microsoft Defender for Cloud generates security alerts when it detects potential threats to your Azure resources. These alerts appear in the Defender for Cloud portal and are prioritized by severity, helping you focus on the most critical issues first. The alert details explain what was detected, which resource is involved, and the potential impact, providing the context needed for investigation. Responding to an alert typically involves reviewing the evidence, taking remediation steps like isolating a compromised virtual machine, and then closing the alert to indicate the issue has been resolved.
Workflow automation in Defender for Cloud allows you to automatically trigger actions when a new security alert is generated. You create an automation rule that links a specific alert trigger to an Azure Logic App. The Logic App is a predefined workflow that can perform tasks like creating a ticket in your IT service management (ITSM) system, sending an email notification to a security team, or running a script to apply a security fix. This automation ensures rapid, consistent responses to common threats without manual intervention, which is crucial for containing incidents quickly.
To monitor network security, you use Azure Monitor to collect logs and metrics from your resources. You define Data Collection Rules (DCRs) that specify exactly which data to gather, such as network security group (NSG) flow logs or virtual machine performance counters. The DCR tells Azure Monitor where to pull the data from (the source) and where to send it, typically to a Log Analytics workspace for analysis and long-term storage. Once collected, you can query this data to look for suspicious network patterns, like traffic from blocked IP addresses, or to troubleshoot performance issues affecting security, such as high latency on a firewall.
Microsoft Sentinel is a cloud-native Security Information and Event Management (SIEM) system that aggregates security data from many different sources. To bring data into Sentinel, you configure data connectors. Each connector is a link to a specific service, like Azure Activity Logs, Microsoft 365 Defender, or a third-party firewall. The connector pulls the raw log data from that source and ingests it into Sentinel's underlying Log Analytics workspace. Configuring connectors is the essential first step to centralizing your security monitoring, as without data flowing in, Sentinel cannot perform analysis or generate insights.
Once data is flowing into Sentinel via connectors, you use analytics rules to detect threats within that data. An analytics rule is a query or a built-in template that continuously searches the logs for specific patterns indicative of an attack, such as multiple failed sign-in attempts from different locations. When the rule's conditions are met, it creates a security incident in Sentinel for your team to investigate. You can enable pre-built rules from Microsoft or create custom rules tailored to your environment's unique threats. Tuning these rules is critical to reduce false positives and ensure you are alerted to genuine security events.
Sentinel automation uses playbooks to respond automatically to incidents. A playbook is built on Azure Logic Apps and contains a sequence of steps that execute when triggered by a Sentinel incident or alert. For example, a playbook can automatically gather additional context about a suspicious IP address, disable a compromised user account in Azure Active Directory, and post a message to a team channel. You attach a playbook to an analytics rule so that the response begins the moment an incident is generated. This automation, known as Security Orchestration, Automation, and Response (SOAR), speeds up containment and frees security analysts to focus on complex investigations.
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Workflow automation in Defender for Cloud is triggered when a new security alert is generated. You create an automation rule that links a specific alert trigger to an Azure Logic App, which then performs tasks like creating a ticket in your ITSM system, sending an email notification, or running a security fix script.
Data Collection Rules (DCRs) specify exactly which data to gather, such as network security group flow logs or virtual machine performance counters. The DCR tells Azure Monitor where to pull the data from and where to send it, typically to a Log Analytics workspace for analysis and long-term storage.
Data connectors must be configured to bring data into Sentinel. Each connector is a link to a specific service like Azure Activity Logs or Microsoft 365 Defender, and it pulls raw log data into Sentinel's underlying Log Analytics workspace. Without connectors, Sentinel cannot perform analysis or generate insights.
Analytics rules create security incidents. These rules are queries or built-in templates that continuously search logs for specific patterns indicative of an attack, such as multiple failed sign-in attempts from different locations. When the rule's conditions are met, it creates a security incident for investigation.
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