In this article, we will discuss the key differences between Azure Sentinel and Security Center. Both of these products belong to Microsoft and aim to secure your Azure infrastructure with some key differences between them.
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Azure Sentinel vs Security Center
Though Microsoft Sentinel and Azure Security Center look very similar, you will find some differences between them as well. Let’s discuss the side-by-side differences between Azure Sentinel and Azure Security Center.
| Azure Sentinel | Security Center |
| What is Azure Sentinel | Security Center is meant for checking if any misconfigurations happened in your Cloud environment. An excellent service that helps you to access the security data of Azure services which helps you to identify in case of any security issues. It also protects cloud workload. |
| It is a security information and event management (SIEM) and security orchestration automated response (SOAR) solution. | It is a cloud security posture management (CSPM) or infrastructure security management system or solution. |
| The primary aim is to hunt and detect the threat and then respond to that security threat immediately. | Ensures all the Azure resources and application compliance with all the security protocols. |
| Comes with built-in artificial intelligence (AI) and machine learning (ML) features. | |
| The main feature includes Hunting, Detect, Incidents, and Automation. | The main feature includes visibility, Monitoring, Compliance, Analytics, etc. |
What is the new name for Azure Security Center?
Microsoft Defender for Cloud is the new name for Azure Security Center.
What is the new name for Azure Sentinel?
Microsoft Sentinel is the new name for Azure Sentinel.
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Wrapping Up
Well, in this article, we have discussed Azure security center vs Sentinel. We concluded that though both Azure Security Center and Microsoft Sentinel look similar, still they are a few key differences between them in terms of their usage and features. Thanks for reading this article !!!
I am Rajkishore, and I have over 14 years of experience in Microsoft Azure and AWS, with good experience in Azure Functions, Storage, Virtual Machine, Logic Apps, PowerShell Commands, CLI Commands, Machine Learning, AI, Azure Cognitive Services, DevOps, etc. Not only that, I do have good real-time experience in designing and developing cloud-native data integrations on Azure or AWS, etc. I hope you will learn from these practical Azure tutorials. Read more.