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AWS Security Hub vs Microsoft Sentinel comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 18, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

AWS Security Hub
Ranking in Security Orchestration Automation and Response (SOAR)
5th
Average Rating
7.6
Reviews Sentiment
7.2
Number of Reviews
22
Ranking in other categories
Cloud Security Posture Management (CSPM) (12th)
Microsoft Sentinel
Ranking in Security Orchestration Automation and Response (SOAR)
1st
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
90
Ranking in other categories
Security Information and Event Management (SIEM) (3rd), Microsoft Security Suite (6th), AI-Powered Cybersecurity Platforms (5th)
 

Mindshare comparison

As of April 2025, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of AWS Security Hub is 9.4%, down from 9.6% compared to the previous year. The mindshare of Microsoft Sentinel is 19.3%, down from 20.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Orchestration Automation and Response (SOAR)
 

Q&A Highlights

NC
Nov 26, 2021
 

Featured Reviews

MuhammadAzhar Khan - PeerSpot reviewer
Offers best practice recommendations and supports various compliance standards
Security Hub provides insightful information about what is running and where there might be weaknesses. It offers best practice recommendations and supports various compliance standards such as ISO and PCI DSS. Enabling these compliance checks helps identify non-compliant services and suggests steps to achieve compliance. The main advantage is providing information and compliance insights rather than prevention.
KrishnanKartik - PeerSpot reviewer
Every rule enriched at triggering stage, easing the job of SOC analyst
It's a Big Data security analytics platform. Among the unique features is the fact that it has built-in UEBA and analytical capabilities. It allows you to use the out-of-the-box machine learning and AI capabilities, but it also allows you to bring your own AI/ML, by bringing in your own IPs and allowing the platform to accept them and run that on top of it. In addition, the SOAR component is a pay-per-use model. Compared to any other product, where customization is not available, you can fine-tune the SOAR and you'll be charged only when your playbooks are triggered. That is the beauty of the solution because the SOAR is the costliest component in the market today. Other vendors charge heavily for the SOAR, but with Sentinel it is upside-down: the SOAR is the lowest-hanging fruit. It's the least costly and it delivers more value to the customer. The SOAR engine also uniquely helps us to automate most of the incidents with automated enrichment and that cuts out the L1 analyst work. And combining M365 with Sentinel, if you want to call it integration, takes just a few clicks: "next, next finish." If it is all M365-native, it is a maximum of three or four steps and you'll be able to ingest all the logs into Sentinel. That is true even with AWS or GCP because most of the connectors are already available out-of-the-box. You just click, put in your subscription details, include your IAM, and you are finished. Within five to six steps, you can integrate AWS workloads and the logs can be ingested into Sentinel. When it comes to a third party specifically, such as log sources in a data center or on-premises, we need a log collector so that the logs can be forwarded to the Sentinel platform. And when it comes to servers or something where there is an agent for Windows or Linux, the agent can collect the logs and ship them to the Sentinel platform. I don't see any difficulties in integrating any of the log sources, even to the extent of collecting IoT log sources. Microsoft Defender for Cloud has multiple components such as Defender for Servers, Defender for PaaS, and Defender for databases. For customers in Azure, there are a lot of use cases specific to protecting workloads and PaaS and SaaS in Azure and beyond Azure, if a customer also has on-premises locations. There is EDR for Windows and Linux servers, and it even protects different kinds of containers. With Defender for Cloud, all these sources can be seamlessly integrated and you can then track the security incidents in Microsoft's XDR platform. That means you have one more workspace, under Azure, not Defender for Cloud, where you can see the security incidents. In addition, it can be integrated with Sentinel for EDR deep-dive analytics. It can also protect workloads in AWS. We have customers for whom we are protecting their AWS workloads. Even EKS, Elastic Kubernetes Service, on AWS can be integrated, as can the GKE (Google Kubernetes Engine). And with Defender for Cloud, security alert ingestion is free

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Finding out if your infrastructure is secure is a valuable feature."
"AWS Security Hub can check your infrastructure against multiple compliance frameworks. You can turn on or off specific frameworks based on your needs."
"The best feature of AWS Security Hub is that you can get compliance or your cloud's current security posture."
"The most beneficial aspect of Security Hub is its proactive capability, allowing us to identify potential security issues before they escalate."
"The most beneficial aspect of Security Hub is its proactive capability, allowing us to identify potential security issues before they escalate."
"The solution shows us our compliance score."
"It's a security posture management tool from AWS. Basically, it identifies misconfigurations, similar to Trusted Advisor but on a larger scale."
"Cloudposse is a valuable feature as it guarantees my security."
"The analytic rule is the most valuable feature."
"Sentinel uses Azure Logic Apps for automation, which is really powerful. This allows us to easily automate responses to incidents."
"The connectivity and analytics are great."
"The query language of Microsoft Sentinel is easy to understand and use."
"The analytics has a lot of advantages because there are 300 default use cases for rules and we can modify them per our environment. We can create other rules as well. Analytics is a useful feature."
"We have no complaints about the features or functionality."
"It has a lot of great features."
"One of the most valuable features is that it creates a kind of a single pane of glass for organizations that already use Microsoft software. So, when they have things like Microsoft 365, it is very easy for them to kind of plug in or enroll those endpoints into the Azure Sentinel service."
 

Cons

"One aspect that could be improved in the solution is its adaptability to different markets and geopolitical restrictions. In certain regions like Thailand, specific services from certain countries or providers, such as AWS or Azure, might be limited or blocked. It also needs improvement in would require configuring the solution more adaptable to AWS infrastructure and function."
"Whenever my team gets some alarms from the central team, my team needs to initiate whether it's a real or false trigger. The central team needs to keep adjusting to the parameters or at least the concerned IPs, whether it's really from the company's pool of IPs, so the trigger process can be improved. In the next release of AWS Security Hub, I'd like a better dashboard that could result in better alert visibility."
"I would like a more fine-grained capability for creating custom rules and a more user-friendly experience programmatically in writing queries and configuring custom security rules, making it quicker and easier."
"The telemetry doesn't always go into the control center. When you have multiple instances running in AWS, you need a control tower to take feeds from Security Hub and analyze your results. Sometimes exemptions aren't passed between the control tower and Security Hub. The configuration gets mixed up or you don't get the desired results."
"It's not user-friendly. Too much going on, too many unnecessary findings, not very visual. You can't do much compared to other similar tools that are cheaper and better."
"There is room for improvement in implementing AI capabilities. It would be beneficial for Security Hub to implement preventative measures and to directly apply recommendations instead of just suggesting them."
"From an improvement perspective, there is a need to add more compliance since, right now, AWS Security Hub only provides four to five compliances to control the tool."
"There is room for improvement in implementing AI capabilities."
"Its implementation could be simpler. It is not really simple or straightforward. It is in the middle. Sometimes, connectors are a little bit complex."
"The performance could be improved. If I create 15 to 20 lines for a single-use case in KQL, sometimes it takes more time to execute. If I create use cases within a certain timeline, the result will show in .01 seconds. A complex query takes more time to get results."
"One key area that can be improved is by building a strong integration with our XDR platform."
"Azure Sentinel will be directly competing with tools such as Splunk or Qradar. These are very established kinds of a product that have been around for the last seven, eight years or more."
"I would like Microsoft Sentinel to enhance its SOAR capabilities."
"We're satisfied with the comprehensiveness of the security protection. That said, we do have issues sometimes where there have been global outages and we need to raise a ticket with Microsoft."
"Microsoft Sentinel's search efficiency can be improved, especially for queries spanning large datasets or long timeframes like 90 days compared to competitors like Splunk."
"Sentinel could improve its ticketing and management. A few customers I have worked with liked to take the data created in Sentinel. You can make some basic efforts around that, but the customers wanted to push it to a third-party system so they could set up a proper ticketing management system, like ServiceNow, Jira, etc."
 

Pricing and Cost Advice

"AWS Security Hub's pricing is pretty reasonable."
"The price of AWS Security Hub is average compared to other solutions."
"Security Hub is not an expensive solution."
"There are multiple subscription models, like yearly, monthly, and packaged."
"The price of the solution is not very competitive but it is reasonable."
"The pricing is fine. It is not an expensive tool."
"The cost is based on the number of compliances, core checks, and services required, and for more than 10,000 recommendations, the charge is just one dollar."
"AWS Security Hub is not an expensive tool. I would consider it to be a cheap solution. AWS Security Hub follows the PAYG pricing model, meaning you will have to pay for whatever you use."
"We only pay for the amount of data we bring in, which is fair."
"Microsoft can enhance the licensing side. I feel there is confusion sometimes... They should have a single license in which we have the opportunity to use the EDR or CASB solution."
"Sentinel's pricing is on the higher side, but you can get a discount if you can predict your usage. You have to pay ingestion and storage fees. There are also fees for Logic Apps and particular features. It seems heavily focused on microtransactions, but they may be slightly optional. By contrast, Splunk requires no additional fee for their equivalent of Logic. You have a little more flexibility, but Sentinel's costs add up."
"Microsoft is costlier. Some organizations may not be able to afford the cost of Sentinel orchestration and the Log Analytics workspace. The transaction hosting cost is also a little bit on the high side, compared to AWS and GCP."
"There are no additional costs other than the initial costs of Sentinel."
"It comes with a Microsoft subscription which the customer has, so they don't have to invest somewhere else."
"Microsoft Sentinel is included in our E5 license."
"Currently, given our use case, the cost of Sentinel is justified, but it is expensive."
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Comparison Review

it_user186927 - PeerSpot reviewer
Feb 16, 2015
Cybereason vs. Interset vs. SQRRL
Capture DB - they all use NoSQL db and hence solve the ad hoc query and 'go back in time' problem with current best of breed SIEM and DLP solutions that rely on real time analysis of incoming logs (and don't store them). This means deeper and quicker iterative threat analysis and assessment…
 

Answers from the Community

NC
Nov 26, 2021
Nov 26, 2021
We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is auto-scaling - you will not have to worry about performance impact, you will always have the performance capability you need. If you have Microsoft 365, it is very easy to plug the endpoints into Azure Sentinel. With this solution, you can go on the offensive and stay proact...
See 2 answers
Nov 24, 2021
We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is auto-scaling - you will not have to worry about performance impact, you will always have the performance capability you need. If you have Microsoft 365, it is very easy to plug the endpoints into Azure Sentinel. With this solution, you can go on the offensive and stay proactive, continually hunting for threats. Azure Sentinel is purely cloud-based and a leading next-generation SIEM. We have experienced a few false positives with Azure Sentinel. There is a certain level of expertise that you need to possess to appropriately utilize all of Azure Sentinel's offerings - it can be a somewhat steep learning curve to get things running at capacity. It would be an improvement if Azure Sentinel integrated better with other SaaS providers and offered more out-of-the-box connectors. You get a huge range of powerful security tools with AWS Security Hub, including compliance scanners, vulnerability endpoint protection, and firewalls. AWS Security Hub has very good detection and offers helpful real-time alerts. AWS Security Hub aggregates, organizes, and prioritizes security alerts or findings from other AWS services, all in one single pane. AWS Security Hub lacks a certain level of self-sufficiency, though. We would like to see AWS Security Hub become a multi-cloud solution. AWS Security Hub has some regional restrictions that have proved problematic for us; we need visibility for all instances we have on our account. We found that AWS Security Hub is not a good global product. Conclusion: We felt AWS was lacking in some basic features we consider essential, like multi-region coverage. We also wanted a solution that was more intuitive. We found Azure Sentinel to be a better fit for our team and our clients. We have a global reach and need a product that could satisfy cross-region coverage efficiently. We also feel that Azure Sentinel offers better proactive threat awareness.
Shibu Babuchandran - PeerSpot reviewer
Nov 26, 2021
Hi @Netanya Carmi ​, Had prepared some comparison factors between AWS and Azure for one of my presales discussions, hope this will hold some insights .So depending on the requirements from the client appropriate solutions can be proposed. Widely Azure Sentinel is what has be going of matching the customer requriements. AI and machine learning AWS service Azure service Description SageMaker Machine Learning A cloud service to train, deploy, automate, and manage machine learning models. Alexa Skills Kit Bot Framework Build and connect intelligent bots that interact with your users using text/SMS, Skype, Teams, Slack, Microsoft 365 mail, Twitter, and other popular services. Lex Speech Services API capable of converting speech to text, understanding intent, and converting text back to speech for natural responsiveness. Lex Language Understanding (LUIS) Allows your applications to understand user commands contextually. Polly, Transcribe Speech Services Enables both Speech to Text, and Text into Speech capabilities. Rekognition Cognitive Services Computer Vision: Extract information from images to categorize and process visual data. Face: Detect, identify, and analyze faces and facial expressions in photos. Skills Kit Virtual Assistant The Virtual Assistant Template brings together a number of best practices we've identified through the building of conversational experiences and automates integration of components that we've found to be highly beneficial to Bot Framework developers. Big data and analytics AWS service Azure service Description Redshift Synapse Analytics Cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data. Lake Formation Data Share A simple and safe service for sharing big data Big data processing AWS service Azure service Description EMR Azure Data Explorer Fully managed, low latency, distributed big data analytics platform to run complex queries across petabytes of data. EMR Databricks Apache Spark-based analytics platform. EMR HDInsight Managed Hadoop service. Deploy and manage Hadoop clusters in Azure. EMR Data Lake Storage Massively scalable, secure data lake functionality built on Azure Blob Storage. Data orchestration / ETL AWS service Azure service Description Data Pipeline, Glue Data Factory Processes and moves data between different compute and storage services, as well as on-premises data sources at specified intervals. Create, schedule, orchestrate, and manage data pipelines. Glue Azure Purview A unified data governance service that helps you manage and govern your on-premises, multicloud, and software as a service (SaaS) data. Dynamo DB Table Storage, Cosmos DB NoSQL key-value store for rapid development using massive semi-structured datasets. Analytics and visualization AWS service Azure service Description Kinesis Analytics Stream Analytics Storage and analysis platforms that create insights from large quantities of data, or data that originates from many sources. Azure Data Explorer Data Lake Analytics Data Lake Store QuickSight Power BI Business intelligence tools that build visualizations, perform ad hoc analysis, and develop business insights from data. CloudSearch Cognitive Search Delivers full-text search and related search analytics and capabilities. Athena Data Lake Analytics Provides a serverless interactive query service that uses standard SQL for analyzing databases. Azure Synapse Analytics Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics. It gives you the freedom to query data on your terms, using either serverless or dedicated resources at scale. Elasticsearch Service Elastic on Azure Use the Elastic Stack (Elastic, Logstash, and Kibana) to search, analyze, and visualize in real time. Database Type AWS Service Azure Service Description Relational database RDS SQL Database Managed relational database services in which resiliency, scale and maintenance are primarily handled by the Azure platform. Database for MySQL Database for PostgreSQL Database for MariaDB Serverless relational database Amazon Aurora Serverless Azure SQL Database serverless Database offerings that automatically scales compute based on the workload demand. You're billed per second for the actual compute used (Azure SQL)/data that's processed by your queries (Azure Synapse Analytics Serverless). Serverless SQL pool in Azure Synapse Analytics NoSQL/ DynamoDB Cosmos DB Cosmos DB is a globally distributed, multi-model database that natively supports multiple data models including key-value pairs, documents, graphs and columnar. Document SimpleDB Amazon DocumentDB Caching ElastiCache Cache for Redis An in-memory–based, distributed caching service that provides a high-performance store typically used to offload nontransactional work from a database. Database migration Database Migration Service Database Migration Service A service that executes the migration of database schema and data from one database format to a specific database technology in the cloud.
 

Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
13%
Manufacturing Company
9%
Government
7%
Computer Software Company
16%
Financial Services Firm
10%
Manufacturing Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Which is better - Azure Sentinel or AWS Security Hub?
We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is auto-scaling - you will not have to worry about performance impact, you will...
What do you like most about AWS Security Hub?
The most valuable features of the solution are the scanning of all the cloud environments and most of the compliances available in the cloud.
What needs improvement with AWS Security Hub?
There is room for improvement in implementing AI capabilities. It would be beneficial for Security Hub to implement preventative measures and to directly apply recommendations instead of just sugge...
Is there a common threat intelligence tool that aggregates multiple threat intelligence sources?
Yes, Azure Sentinel is a SIEM on the Cloud. Multiple data sources can be uploaded and analyzed with Azure Sentinel and its Threat Hunting functionality with AI available as templates or customized ...
What is a better choice, Splunk or Azure Sentinel?
It would really depend on (1) which logs you need to ingest and (2) what are your use cases Splunk is easy for ingestion of anything, but the charge per GB/Day Indexed and it gets expensive as log ...
What do you like most about Microsoft Sentinel?
The most valuable feature is the alert notifications, which are categorized by severity levels: informational, low, medium, and high.
 

Also Known As

SQRRL
Azure Sentinel
 

Overview

 

Sample Customers

Edmunds, Frame.io, GoDaddy, Realtor.com
Microsoft Sentinel is trusted by companies of all sizes including ABM, ASOS, Uniper, First West Credit Union, Avanade, and more.
Find out what your peers are saying about AWS Security Hub vs. Microsoft Sentinel and other solutions. Updated: March 2025.
845,406 professionals have used our research since 2012.