It is a Cloud SIEM (Security Information and Event Management) and Security Orchestration and Automated Response (SOAR) system in Microsoft's public cloud platform. It can provide a single solution for alert detection, threat visibility, proactive hunting, and threat response. It collects data from different data sources, performs data correlation, and Data Visualisation of the processed data in a single dashboard. It helps to collect, detect, investigate and respond to security threats and incidents. Thus delivering intelligent security analytics and threat intelligence all across the enterprise ecosystem. It natively incorporates Azure Logic Apps and Log Analytics which enhances its capabilities. It also has built-in advanced machine learning capabilities that can detect actors of threats and suspicious behaviours that can significantly help security analysts to analyse their environment. It can detect threats and minimizes false positives by using analytics and threat intelligence drawn directly from Microsoft. Azure Analytics plays a major role in correlating alerts into incidents identified by the security team. It provides built-in templates directly out-of-the-box to create threat detection rules and automate threat responses. Apart from this, it also provides the feasibility to create custom rules. The four available build-in templates are below: Get the automation you need to stop sophisticated, cross-domain attacks across your organization with SIEM and XDR solutions from Microsoft. Xenonstack Managed Services for Azure Sentinel Azure Sentinel is a scalable cloud-native tool that helps detect, investigate, and respond to threats if any are found. It enables users to catch potential issues more quickly. It uses Machine learning to reduce threats and capture unusual behaviours. Also, IT teams save time and effort for maintenance. It helps to monitor an ecosystem from cloud to on-premise, workstation, and personal devices.What is Microsoft Sentinel - Cloud Native SIEM?
With the growing intelligence of edge devices, capable of making real-time and near-real-time determinations, security can be built into every transaction. Source: How AI Is Revolutionising Fraud Detection And Risk Assessment.
It is easy to deploy in single and multi-tenant scenarios. In the case of a multi-tenant scenario, It will be deployed on each tenant, and Azure Lighthouse will be used to have a multi-tenant visualisation of all tenants.Four Stages of Microsoft Sentinel
Collect Data
It can collect data on all users, devices, applications, and infrastructure both on-premises and across multiple cloud environments. It can easily connect to security sources out of the box. There are several connectors available for Microsoft solutions that provide real-time integration. It also includes built-in connectors for third-party products and services (non-Microsoft Solutions). Apart from this, Common Event Format (CEF), Syslog, or REST-API can also connect the required data sources with it.
It supports both Fluentd and LogStash to connect and collect data and logs.Detect Threats
How an analyst can leverage the Investigation and Log Search capabilities in Azure Security Center to determine whether an alert represents a security compromise, and understand the scope of that compromise. Source- How Azure Security Center Analyze Attacks
Investigation Suspicious Activities
It can investigate and hunt suspicious activities across the environment. It helps reduce noise and hunt for security threats based on the MITRE framework. Use Artificial Intelligence to proactively identify threats before an alert trigger across the protected assest to detect suspicious activities. When you are using it for hunting and investigation, you can make use of the following capabilities:Respond
It can react smoothly and respond quickly to built-in orchestration incidents, and common and frequent tasks can easily be converted into automation. It is capable of creating simplified security orchestration with playbook. It can also make tickets in ServiceNow, Jira, etc. when an event occurs.IAM is a combination of processes and policies to manage the identity of individuals or groups and access to the resources within an organization. Click to explore, How Identity and Access Management Work?
Key Components of Microsoft Sentinel?
As shown in the figure below, there are nine significant Azure Sentinel components.
A Log Analytics workspace provides the following features:Azure provides tools and capabilities for security to create a secure Azure platform. Click to explore, Azure Security Services Checklist
How to deploy Microsoft Sentinel?
It uses a Role-Based Access Control (RBAC) authorization model that enables administrators to set up a granular level of permissions based on different requirements and permissions. Ithas three built-in roles available.
To deploy it, one needs contributor permissions to the subscription in which the Azure Sentinel workspace resides. To provide access to different teams based on their work with it, leverage the RBAC model to assign granular permissions to various groups.What is Azure Sentinel Center?
Azure Security Center is a cloud workload protection platform that targets server workload protection's unique requirements in today's hybrid data centre architectures. In contrast, it is a cloud-native SIEM that analyses event data in real-time for early detection of targeted attacks and data breaches and to collect, store, investigate and respond to security events.What is Azure Security Center?
Azure Security Center deals with your Azure assets' configuration following the best practices in simpler terms. It deals with detecting bad actors and preventing unauthorised access to data. Suppose you want to deploy Azure Security Center and it simultaneously. In that case, you must then make sure not to use the default workspace created by Azure Security Center to deploy it as you can't enable it on this default namespace.According to the U.S. State of Cybercrime Report, 50% of data breaches and information leakage happened unintentionally due to employees' negligence. Click to explore the Impact of Insider Threats on Cyber Security
How to Hunt for Security Threats?
When using Azure Sentinel, there are four different ways to hunt for security threats.
It allows you to use Log Analytics' REST API to manage hunting and Livestream queries. Such queries display in Azure Sentinel UI.Microsoft Azure Sentinel Pricing
Note: The data ingested into Azure Monitor Log Analytics workspace can be retained free of charge for the first 90 days. After which you will be charged ₹9.254 per GB per month. By default, the collected data is available for 90 days but can be extended to 730 days. Ingest Azure Activity Logs, Office 365 Activity Logs, and alerts from Microsoft Threat Protection in it at no cost.Conclusion
What's Next?
Microsoft Sentinel OverView and Cloud Native SIEM (2024)
Table of Contents
What is Microsoft Sentinel - Cloud Native SIEM?
Four Stages of Microsoft Sentinel
Collect Data
Detect Threats
Investigation Suspicious Activities
Respond
Key Components of Microsoft Sentinel?
How to deploy Microsoft Sentinel?
What is Azure Sentinel Center?
What is Azure Security Center?
How to Hunt for Security Threats?
Microsoft Azure Sentinel Pricing
Conclusion
What's Next?
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