AWS Security Hub vs Microsoft Sentinel comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Security Orchestration Automation and Response (SOAR) category. Amazon Web Services (AWS) is ranked #5 with an average rating of 7.7, while Microsoft is ranked #1 with an average rating of 8.3. Amazon Web Services (AWS) holds a 9.4% mindshare in SOAR, compared to Microsoft’s 19.3% mindshare. Additionally, 87% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

AWS Security Hub

Read 22 AWS Security Hub reviews

3,774 Views
3,211 Comparison Views

87% willing to recommend

Microsoft Sentinel

Read 92 Microsoft Sentinel reviews

10,805 Views
6,694 Comparison Views

93% willing to recommend

AWS Security Hub

Microsoft Sentinel

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 18, 2024

AWS Security Hub and Microsoft Sentinel are leading security solutions, with Microsoft Sentinel having the upper hand due to its advanced AI and automation capabilities.

Features: AWS Security Hub offers automated compliance checks, a centralized security view, and integration with AWS services. Microsoft Sentinel provides AI-driven threat detection, integration with Azure services, and automated response capabilities. Users find Microsoft Sentinel's features more advanced due to its AI and automation capabilities.

Room for Improvement: AWS Security Hub needs better multi-cloud support and more detailed visualization tools. Microsoft Sentinel requires increased documentation, a better alerting system, and smoother integration with non-Microsoft services. Both products have areas needing enhancement, but Microsoft Sentinel shows a greater need for better alert management and documentation.

Ease of Deployment and Customer Service: AWS Security Hub is easy to deploy within AWS environments and has responsive customer service. Microsoft Sentinel supports cloud-native deployment but has a steeper learning curve and could improve initial setup guidance.

Pricing and ROI: AWS Security Hub has predictable pricing appreciated for its cost-effectiveness within AWS. Microsoft Sentinel offers flexible pricing but may result in higher costs for extensive use. Users generally see a higher return on investment with Microsoft Sentinel due to its advanced features, despite potentially higher setup costs.

To learn more, read our detailed AWS Security Hub vs. Microsoft Sentinel Report (Updated: April 2025).

Buyer's Guide

AWS Security Hub vs. Microsoft Sentinel

April 2025

Download the complete report

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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

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

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

Netanya Carmi

Content Manager at PeerSpot

Nov 26, 2021

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 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.

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Featured Reviews

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

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.

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KrishnanKartik

Cyber Security Consultant at Inspira Enterprise

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

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Quotes from Members

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

Pros

"The most valuable feature of AWS Security Hub is the ability to track when monitoring is not enabled on any of my resources."

"One of the most effective features of AWS Security Hub is the easy access to a dashboard with a ready-to-use security score."

"The most valuable features of the solution are the scanning of all the cloud environments and most of the compliances available in the cloud."

"AWS Security Hub can check your infrastructure against multiple compliance frameworks. You can turn on or off specific frameworks based on your needs."

"AWS Security Hub has very good integration features. It allows for AWS native services integration, and it helps us to integrate some of the services outside of AWS. They have partners, such as Amazon Preferred Network Partners (APN). If you have different security tools around APN, we can integrate those findings with AWS Security Hub reducing the need to refer to different portals or different UIs. You can have AWS Security Hub act as a single common go-to dashboard."

"Very good at detection and providing real-time alerts."

"I like that AWS Security Hub currently has several good features, around four or five. The technical support for AWS Security Hub is also responsive."

"The advantage is that it is cloud-native, and we do not need to install agents or sensors to find findings."

More AWS Security Hub pros

"I like the KQL query. It simplifies getting data from the table and seeing the logs. All you need to know are the table names. It's quite easy to build use cases by using KQL."

"Sentinel has reduced the work involved in the event investigation by quite a lot."

"Microsoft Sentinel stands out among SIEM tools for its user-friendliness and powerful built-in query language."

"Microsoft Sentinel has helped by streamlining our security. We have a nine-member network team, with three members managing security for the city, and Sentinel allows us to operate an unofficial SOC."

"The data connectors that Microsoft Sentinel provides are easy to integrate when we work with a Microsoft agent."

"Microsoft Sentinel provides the capability to integrate different log sources. On top of having several data connectors in place, you can also do integration with a threat intelligence platform to enhance and enrich the data that's available. You can collect as many logs and build all the use cases."

"The Log analytics are useful."

"The features that stand out are the detection engine and its integration with multiple data sources."

More Microsoft Sentinel pros

Cons

"The support must be quicker."

"The solution lacks self-sufficiency."

"It is not flexible for multi-cloud environments."

"There is room for improvement in implementing AI capabilities."

"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."

"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."

"Adding SIEM features would be beneficial because of the limited customization of AWS Security Hub."

"The solution will only give you insight if you have configure rule enabled. It should work more like Prisma Cloud and Dome9 which have a better approach."

More AWS Security Hub cons

"I would like Microsoft Sentinel to enhance its SOAR capabilities."

"They only classify alerts into three categories: high, medium, and low. So, from the user's point of view, having another critical category would be awesome."

"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."

"We'd like also a better ticketing system, which is older."

"The built-in SOAR is not really good out-of-the-box. The SOAR relies on logic apps and you almost need to have some kind of developer background to be able to make these logic apps. Most security people cannot develop anything..."

"In terms of features I would like to see in future releases, I'm interested in a few more use cases around automation. I do believe a lot of automation is available, and more is in progress, but that would be my area of interest."

"There are certain delays. For example, if an alert has been rated on Microsoft Defender for Endpoint, it might take up to an hour for that alert to reach Sentinel. This should ideally take no more than one or two seconds."

"Their support can be challenging at times, particularly around unique experiences or circumstances with Microsoft Sentinel."

More Microsoft Sentinel cons

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."

"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."

"The pricing is fine. It is not an expensive tool."

"There are multiple subscription models, like yearly, monthly, and packaged."

"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."

"The price of the solution is not very competitive but it is reasonable."

"The pricing is fair... With a traditional SIEM, you pay a lump sum for licenses. But with Sentinel, it's pay-as-you-go according to the amount of data you inject."

"From a cost perspective, there are some additional charges in addition to the licensing."

"Sentinel is costly compared to other solutions, but it's fair. SIEM solutions like CrowdStrike charge based on daily log volume. They generally process a set number of logs for free before they start charging. Microsoft's pricing is clearer. It's free under five gigabytes. Some of these logs we ingest have a cost, so they don't hide it. I believe the tenant pays the price, and Microsoft helps create awareness of the cost."

"I am not involved on the financial side, but from an enterprise-wide use perspective, I think the price is good enough."

"From a cost perspective, Microsoft Sentinel is quite costly."

"Cost-wise, Sentinel is based on the volume of information being ingested, so it can be quite pricey. The ability to use strategies to control what data is being ingested is important."

"Sentinel is expensive relative to other products of the class, so it often isn't affordable for small-scale businesses. However, considering the solution has more extensive capabilities than others, the price is not so high. Pricing is based on GBs of ingested daily data, either by a pay-as-you-go or subscription model."

"I have had mixed feedback. At one point, I heard a client say that it sometimes seems more expensive. Most of the clients are on Office 365 or M365, and they are forced to take Azure SIEM because of the integration."

More Microsoft Sentinel pricing and cost advice

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Comparison Review

it_user186927

Director of Operations at Bell

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…

Read full review

Answers from the Community

Netanya Carmi

Content Manager at PeerSpot

Nov 26, 2021

Which is better - Azure Sentinel or AWS Security Hub?

See 2 answers

reviewer1650858

Works

Nov 24, 2021

Read full answer

Shibu Babuchandran

Regional Manager/ Service Delivery Manager at a tech services company with 201-500 employees

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.

Read full answer

Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

12%

Manufacturing Company

10%

Government

Computer Software Company

16%

Financial Services Firm

11%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which is better - Azure Sentinel or AWS Security Hub?

See all answers

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.

See all answers

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...

See all answers

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 ...

See all answers

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 ...

See all answers

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.

See all answers

Comparisons

Wiz vs AWS Security Hub

Compared 12% of the time

Prisma Cloud by Palo Alto Networks vs AWS Security Hub

Compared 9% of the time

Microsoft Defender for Cloud vs AWS Security Hub

Compared 6% of the time

Google Chronicle Suite vs AWS Security Hub

Compared 5% of the time

Orca Security vs AWS Security Hub

Compared 3% of the time

More AWS Security Hub Competitors

IBM Security QRadar vs Microsoft Sentinel

Compared 8% of the time

Cortex XSIAM vs Microsoft Sentinel

Compared 8% of the time

Wazuh vs Microsoft Sentinel

Compared 6% of the time

Google Chronicle Suite vs Microsoft Sentinel

Compared 5% of the time

Palo Alto Networks Cortex XSOAR vs Microsoft Sentinel

Compared 4% of the time

More Microsoft Sentinel Competitors

Product Reports

Buyer's Guide

AWS Security Hub

April 2025

Download AWS Security Hub product report

Buyer's Guide

Microsoft Sentinel

April 2025

Download Microsoft Sentinel product report

Also Known As

SQRRL

Azure Sentinel

Overview

AWS Security Hub is a comprehensive security service that provides a centralized view of security alerts and compliance status across an AWS environment. It collects data from various AWS services, partner solutions, and AWS Marketplace products to provide a holistic view of security posture. With Security Hub, users can quickly identify and prioritize security issues, automate compliance checks, and streamline remediation efforts.

The service offers a range of features including continuous monitoring, threat intelligence integration, and customizable dashboards. It also provides automated insights and recommendations to help users improve their security posture. Security Hub integrates with other AWS services like Amazon GuardDuty, AWS Config, and AWS Macie to provide a unified security experience. Additionally, it supports integration with third-party security tools through its API, allowing users to leverage their existing security investments.

With its user-friendly interface and powerful capabilities, AWS Security Hub is a valuable tool for organizations looking to enhance their security and compliance posture in the cloud.

Amazon Web Services (AWS)

Microsoft Sentinel is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution that lets you see and stop threats before they cause harm. Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response. Eliminate security infrastructure setup and maintenance, and elastically scale to meet your security needs—while reducing IT costs. With Microsoft Sentinel, you can:

- Collect data at cloud scale—across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds

- Detect previously uncovered threats and minimize false positives using analytics and unparalleled threat intelligence from Microsoft

- Investigate threats with AI and hunt suspicious activities at scale, tapping into decades of cybersecurity work at Microsoft

- Respond to incidents rapidly with built-in orchestration and automation of common tasks

To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.

Microsoft

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.

Buyer's Guide

AWS Security Hub vs. Microsoft Sentinel

April 2025

Free Report: AWS Security Hub vs. Microsoft Sentinel

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