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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
8.6
Reviews Sentiment
6.6
Number of Reviews
17
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

"Once I started to use the system and I saw the potential, it changed all of our work in IT."
"Since we started working with Torq, I am handling much fewer alerts, it is becoming really easy for me to handle an alert, I have all the information that I need, I do not need to connect to different vendors to receive this information, and the main thing I got from Torq is time, which now helps me to build another automated system and learn."
"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."
"Using that one piece of AI, we auto-closed 511 cases in quarter four alone."
"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 appreciate most about Torq is that it is an essential part of our system."
"Torq offers the best feature through integration with AI."
"As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities."
"The solution is very good at detection and providing real-time alerts."
"The solution shows us our compliance score."
"AWS Security Hub's unified dashboard does help streamline my process of identifying vulnerabilities, but we don't use Inspector."
"The most valuable feature of AWS Security Hub is the ability to track when monitoring is not enabled on any of my resources."
"I rate Security Hub ten out of ten for stability."
"Cloudposse is a valuable feature as it guarantees my security."
"The most valuable feature of the solution stems from the fact that it is easy to manage...It is a scalable solution."
"The advantage is that it is cloud-native, and we do not need to install agents or sensors to find findings."
"The comprehensiveness of Sentinel's security protection is really great."
"For the people who are on the cloud, I would suggest they go for Sentinel regardless of any other SIEM, as it will do a good integration with other solutions and with other cloud providers while providing a holistic view as well."
"The machine learning and artificial intelligence on offer are great."
"I like the ability to run custom KQL queries. I don't know if that feature is specific to Sentinel. As far as I know, they are using technology built into Azure's Log Analytics app. Sentinel integrates with that, and we use this functionality heavily."
"The most valuable feature is the UEBA. It's very easy for a security operations analyst. It has a one-touch analysis where you can search for a particular entity, and you can get a complete overview of that entity or user."
"The pricing of the product is excellent."
"Microsoft Sentinel's ability to correlate data from multiple sources has enhanced my threat detection capabilities beyond what simple data lake solutions offer."
"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."
 

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."
"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."
"If Torq could enhance its AI features, it would benefit customers significantly by making the platform even more user-friendly."
"Torq can probably use more ML and look at what can be closed and what cannot be closed in terms of data classification."
"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."
"Additionally, the documentation for Torq is not very clear. Most of the information is presented in videos, which are not ideal for reading; there are mostly paragraphs and other text-based content."
"However, we did encounter some problems with custom steps, which definitely affected our progress, and the speed of bug fixes is also a bit slower than expected."
"AWS Security Hub should improve the time it takes to update. It takes a long period of time when updating. It can take 24 hours sometimes to update. Additionally, when integrating this solution with more security tools, takes time."
"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."
"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."
"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."
"Security Hub is currently not worth investing in, as it requires more configurations and integration with other services to work effectively."
"We need more granular-level customizations to enable or disable the rules in AWS Security Hub."
"Adding SIEM features would be beneficial because of the limited customization of AWS Security Hub."
"The solution should be easier to learn and use"
"Our SIEM is only as good as the information we are ingesting. We are all human and we forget to ingest things."
"Its implementation could be simpler. It is not really simple or straightforward. It is in the middle. Sometimes, connectors are a little bit complex."
"There is some relatively advanced knowledge that you have to have to properly leverage Sentinel's full capabilities. I'm thinking about things like the creation of workbooks, how you do threat-hunting, and the kinds of notifications you're getting... It takes time for people to ramp up on that and develop a familiarity or expertise with it."
"There is a wider thing called Jupyter Notebooks, which is around the automation side of things. It would be good if there are playbooks that you can utilize without having to have the developer experience to do it in-house. Microsoft could provide more playbooks or more Jupyter Notebooks around MITRE ATT&CK Framework."
"I would like Sentinel to have more out-of-the-box analytics rules. There are already more than 400 rules, but they could add more industry-specific ones. For example, you could have sets of out-of-the-box rules for banking, financial sector, insurance, automotive, etc., so it's easier for people to use it out of the box. Structuring the rules according to industry might help us."
"Microsoft Defender has a built-in threat expert option that enables you to contact an expert. That feature isn't available in Sentinel because it's a huge product that integrates all the technologies. I would like Microsoft to add the threat expert option so we can contact them. There are a few other features, like threat assessment that the PG team is working on. I expect them to release this feature in the next quarter."
"Depending on when Microsoft releases the updates, it can be challenging, but they usually notify us ahead of time."
"Their support can be challenging at times, particularly around unique experiences or circumstances with Microsoft Sentinel."
 

Pricing and Cost Advice

Information not available
"The pricing is fine. It is not an expensive tool."
"AWS Security Hub's pricing is pretty reasonable."
"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."
"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."
"Security Hub is not an expensive 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 Sentinel can be costly, particularly for data management."
"Microsoft Sentinel is expensive."
"It is priced fairly given the value that you get from the use of the product. The biggest mistake people make with Microsoft Sentinel is not understanding the pricing model and the amount of data that they are going to be running through the tool because you are paying based on the flow. You are paying based on the amount of data that is moving through the tool. People do not plan, and therefore, they get surprised by the cost associated with using the tool. They connect everything because they want to know everything, but connecting everything is very expensive."
"The are two native advantages for customers that use M365 Security and Sentinel. The first advantage is that the log or security-event ingestion into Sentinel is free. Cost-wise, they're saving a lot and that is a major advantage."
"Sentinel can be expensive. When you ingest data from sources that are outside of the cloud, you're paying a fair amount for that data ingestion. When you're ingesting data sources from within the cloud, depending on what your retention periods are, it's not that expensive."
"We are charged based on the amount of data used, which can become expensive."
"We must have saved some money with this product. It is a cloud-native product, and the ingestion is per GB. Every GB costs a certain amount of money. That is how the license of Microsoft Sentinel works."
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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 Enterprise10
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.
909,099 professionals have used our research since 2012.