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AWS Security Hub vs Microsoft Sentinel comparison

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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

Torq
Sponsored
Ranking in Security Orchestration Automation and Response (SOAR)
4th
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
16
Ranking in other categories
AI-SOC (1st), AI-Powered Security Automation (1st)
AWS Security Hub
Ranking in Security Orchestration Automation and Response (SOAR)
7th
Average Rating
7.6
Reviews Sentiment
6.5
Number of Reviews
27
Ranking in other categories
Cloud Security Posture Management (CSPM) (12th)
Microsoft Sentinel
Ranking in Security Orchestration Automation and Response (SOAR)
3rd
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
108
Ranking in other categories
Security Information and Event Management (SIEM) (4th), Microsoft Security Suite (6th), AI-Powered Cybersecurity Platforms (6th)
 

Mindshare comparison

As of August 2026, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of Torq is 3.6%, down from 5.7% compared to the previous year. The mindshare of AWS Security Hub is 6.0%, down from 8.6% compared to the previous year. The mindshare of Microsoft Sentinel is 9.3%, down from 16.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Orchestration Automation and Response (SOAR) Mindshare Distribution
ProductMindshare (%)
Microsoft Sentinel9.3%
Torq3.6%
AWS Security Hub6.0%
Other81.1%
Security Orchestration Automation and Response (SOAR)
 

Q&A Highlights

NC
Content Manager at PeerSpot
Nov 26, 2021
 

Featured Reviews

AD
Solutions Architect at ProArch
Automation has streamlined multi-tenant SOC workflows and improves alert handling efficiency
Although the reporting within Torq is not that great, we did ask for many features regarding reporting in Torq, but due to some platform constraints, they could not make the whole dataset available for us to be used in reporting. Except for that, we used some basic reporting. When I used Torq, it was indeed in the early stages of AI capabilities. Only a few customers were allowed to use it, and we were among them. It functioned well as long as we summarized the data properly. If you input garbage, you would get garbage out. Thus, we had to do significant fine-tuning regarding what data context we provided to the AI orchestrator to get meaningful results. In terms of Torq's unified platform approach to AI SOC automation and case management compared to managing multiple point solutions across my security stack, I find it case-centric. The unified view in case management is good since it provides clarity, although there are limitations regarding how many items in case management can be modified at once. Bulk operations are very limited, potentially due to their back-end database or data retrieval processes that can be improved. Regarding improvements for Torq, when we were onboarded, there were aspects we were uncertain about, such as the number of cases that could be generated, what data we could bring in, how many clients we could onboard, and similar concerns. Initially, we also lacked clarity about the number of playbooks or workflows we could build. Different triggers like system triggers, case-based triggers, and others can be employed without restrictions, but when it comes to on-demand and scheduled jobs, there is a limitation based on the subscription and pricing tier that notably caps the number of workflows we can create. No bulk editing across cases was one issue, along with limited filtering related to single grouping constraints. Additionally, the out-of-the-box case templates provided require substantial modifications before they become usable. There is also a feature in the cases for notes that cannot be searched. They are only visible through the UI, which is another area for improvement. The workflow and execution-based charges seem misleading as this was not discussed initially. I am not sure if new customers are made aware of this. It seems that workflows revolving around cases hinder functionality outside of case management, as we have many use cases needing on-demand triggers and schedules for functions like reporting or polling devices. Creating additional workflows to achieve basic functionalities raises costs significantly, which disadvantages customers. While they facilitate optimization and scaling, the support received tends to be very basic. Improvements can be made in that area as well.
Karthik Ekambaram - PeerSpot reviewer
Director at Scybers
Has helped identify misconfigurations and prioritize risks but lacks multi-cloud support and deeper integration features
AWS Security Hub cannot scale up to multiple different cloud environments; it only works for AWS. There are other products in the market for CSPM that can give you multi-cloud environment misconfigurations, even Microsoft for that matter. Regarding the integration of AWS Security Hub with third-party tools, I am not certain whether we can integrate them, but there is no need to do so. However, AWS Security Hub cannot integrate with other cloud providers, so it only supports the AWS environment. The compliance checks within AWS Security Hub are good, but we don't use them much. We utilize compliance frameworks such as CIS compliance frameworks and ISO 27017 framework, which are beneficial, but it can improve in other areas too, such as including NIST and other frameworks beyond just ISO and CIS. Improvements can be applicable for scalability, particularly on integration with multi-cloud environments, and compliance frameworks can be added for more variety as well. The unified dashboard in AWS Security Hub is adequate; I cannot say it is exceptional, but the content available in the dashboards is satisfactory for now.
Kallamuddin Ansari - PeerSpot reviewer
Cyber Security Consultant at HR Software Solution
Centralized monitoring has improved threat response but cost control still needs refinement
Based on real operations used in our corporate IT environment, the key features include log correlation and incident view. Microsoft Sentinel's biggest strength is how it correlates multiple related alerts into a single incident. This significantly reduces alert noise and helps the SOC focus on real threats instead of isolated events. Another valuable feature is KQL-based threat hunting with Kusto Query Language. The flexibility of this language allows us to build custom hunting queries based on our environment's behavior. This is extremely useful for detecting low and slow threats or hidden threats that default rules may miss. Cloud-native scalability and stability is another important feature. Being cloud-native, Microsoft Sentinel scales well for medium to large corporate environments without infrastructure management. Stability has been solid in day-to-day production. SOAR automation using playbooks is a feature we highly recommend. Microsoft Sentinel's SOAR functionality helps automate repetitive SOC tasks like alert enrichment and notification. This saves analyst time and improves response consistency.

Quotes from Members

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

Pros

"Torq has exceeded expectations by delivering workflows in a timely and lower effort manner than XSOAR, and it meets all my needs while saving a ton of time and targeting $600,000 saved this year, which is a substantial amount of money."
"Once I started to use the system and I saw the potential, it changed all of our work in IT."
"What I appreciate most about Torq is that it is an essential part of our system."
"We have seen fewer failures of automations from the time Torq came into the picture, we've had a more streamlined process of handling incidents, and at the same time, we've learned to embed the AI into our incident types, and that is how it has helped us in the automation."
"What I liked the most about Torq is the actual workflow builder, which is really great because they offer a lot of features and convenience features that are useful for any automation engineer."
"With Torq, I automate actions while achieving SLA compliance and streamline alert investigation processes much better."
"Any request that comes in, regardless of how complex it is, I can accomplish it with Torq."
"Almost four or five hours of work is now completed in four or five minutes."
"Though I'm still in the initial evaluation phase for AWS Security Hub, I would recommend it to others because it has good features."
"Easily integrates with third-party tools"
"The platform has valuable features for security."
"Cloudposse is a valuable feature as it guarantees my security."
"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."
"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."
"If someone asks your team how vulnerable or compliant you are with your infrastructure, you can show findings from AWS Security Hub that demonstrate a ninety-plus percentage compliance rate."
"I really like the seamless integration with the AWS account structure. It can even be made mandatory as part of the landing zone. These are great features. And there's a single pane of glass for the entire account."
"Microsoft Sentinel is an awesome SIEM/SOAR tool for customers with active Cloud presence."
"For us, at least, the price point is justified, and we have not had any issues."
"The product is extremely cost-effective and affordable for customers."
"The best feature of Microsoft Sentinel is its ability to unify all dashboards or functions into one modern SecOps dashboard."
"Microsoft Sentinel has greatly increased our security."
"The part that was very unexpected was Sentinel's ability to integrate with Azure Lighthouse, which, as a managed services solution provider, gives us the ability to also manage our customers' Sentinel environments or Sentinel workspaces. It is a big plus for us. With its integration with Lighthouse, we get the ability to monitor multiple workspaces from one portal. A lot of the Microsoft Sentinel workbooks already integrate with that capability, and we save countless amounts of money by simply being able to almost immediately realize multitenant capabilities. That alone is a big plus for us."
"The connectivity and analytics are great."
"Free ingestion for Azure logs (with E5 licence)"
 

Cons

"Torq can be improved by adding some more features, such as adding more automation and providing a no-code option so I don't have to code for everything."
"If Torq could enhance its AI features, it would benefit customers significantly by making the platform even more user-friendly."
"The workflow and execution-based charges seem misleading as this was not discussed initially, and creating additional workflows to achieve basic functionalities raises costs significantly, which disadvantages customers."
"The initial deployment of Torq was not easy."
"Regarding the pricing of Torq, I would say it is expensive."
"We have MCP that we are working with our cloud security platform, and we wanted to connect this MCP to the case management."
"I wish Torq's AI assistant for building templated workflows from scratch worked better; when you start with a blank slate, asking AI to help you build or template the workflow out does not go well."
"Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes."
"Security needs to be measured based on their own criteria. We can't add custom criteria specific to our organization. For example, having an S3 bucket publicly available might be flagged as a critical alert, but it might not be critical in a sandbox environment. So, it gets flagged as critical, which becomes a false positive. So, customization options and creating custom dashboards would be areas for improvement."
"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."
"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."
"The solution is not wholly self-sufficient."
"Security Hub is currently not worth investing in, as it requires more configurations and integration with other services to work effectively."
"The integration of AWS Security Hub has not helped much in maintaining my organization's security posture."
"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."
"However, the sheer number of services can be overwhelming when implementing something new."
"Multi-tenancy, in my opinion, needs to be improved. I believe it can do better as a managed service provider."
"Microsoft Sentinel should continue adding support for several other security brands because sometimes you have a firewall from a different brand and if you cannot correlate or integrate that seamlessly, it creates multiple points of checking information, which diminishes efficiency."
"The product can be improved by reducing the cost to use AI machine learning."
"When it comes to ingesting Azure native log sources, some of the log sources are specific to the subscription, and it is not always very clear."
"Sentinel should be improved with more connectors. At the moment, it only covers a few vendors. If I remember correctly, only 100 products are supported natively in Sentinel, although you can connect them with syslog. But Microsoft should increase the number of native connectors to get logs into Sentinel."
"It would be nice to be able to leverage more AI to handle more data and recovery aspects in the future."
"Improvement-wise, I would like to see more integration with third-party solutions or old-school antivirus products that have some kind of logging capability. I wouldn't mind having that exposed within Sentinel. We do have situations where certain companies have bought licensing or have made an investment in a product, and that product will be there for the next two or three years. To be able to view information from those legacy products would be great. We can then better leverage the Sentinel solution and its capabilities."
"I think the number one area of improvement for Sentinel would be the cost."
 

Pricing and Cost Advice

Information not available
"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."
"Security Hub is not an expensive solution."
"AWS Security Hub's pricing is pretty reasonable."
"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 price of AWS Security Hub is average compared to other solutions."
"The pricing is fine. It is not an expensive tool."
"Sentinel's price is comparable to pretty much everything out there. None of it is cheap, but we didn't think we could save money by going a different route. Sentinel was part of our Azure expenditures, so it was easier to add the expense instead of having a completely separate vendor."
"There are no additional costs other than the initial costs of Sentinel."
"Sentinel is costly."
"Microsoft Sentinel is pretty expensive, and they recently announced that they will increase the price of all Microsoft services running in Azure by 11 percent. Luckily, I'm not responsible for the financial side. For one of my clients, the estimated cost is 880,000 euros for one year. There are additional costs for the service agreement."
"Currently, given our use case, the cost of Sentinel is justified, but it is expensive."
"It is certainly the most expensive solution. The cost is very high. We need to do an assessment using the one-month trial so that we can study the cost side. Before implementing it, we must do a careful calculation."
"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."
"It is a consumption-based license model. bands at 100, 200, 400 GB per day etc. Azure Sentinel Pricing | Microsoft Azure"
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Comparison Review

it_user186927 - PeerSpot reviewer
Director of Operations at a comms service provider with 10,001+ employees
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
Content Manager at PeerSpot
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
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.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Construction Company
10%
Outsourcing Company
10%
Comms Service Provider
9%
Financial Services Firm
12%
Manufacturing Company
10%
Computer Software Company
8%
Comms Service Provider
7%
Financial Services Firm
11%
Manufacturing Company
10%
Computer Software Company
10%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise9
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise14
By reviewers
Company SizeCount
Small Business44
Midsize Enterprise24
Large Enterprise46
 

Questions from the Community

What needs improvement with Torq?
The only thing is more out-of-the-box integrations. Torq already has a lot of supported integrations and adding new o...
What is your primary use case for Torq?
For Torq, first of all, it's a hyperautomation and AI assistant usage. Our EDR SentinelOne is integrated in Torq and ...
What advice do you have for others considering Torq?
I think I have told everything about Torq that I can share at this stage, but I am still in the process of learning t...
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...
What needs improvement with AWS Security Hub?
I do not see any areas for improvement in AWS Security Hub itself, but the cost factor is something that is the main ...
What is your primary use case for AWS Security Hub?
AWS Security Hub is something I have used daily as it is a part of my job for cloud security purposes. If you are dea...
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 an...
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 ingest...
What is your experience regarding pricing and costs for Microsoft Sentinel?
My experience with pricing, setup cost, and licensing for Microsoft Sentinel is that it is flexible but can become co...
 

Also Known As

No data available
SQRRL
Azure Sentinel
 

Overview

 

Sample Customers

Information Not Available
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: June 2026.
908,834 professionals have used our research since 2012.