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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
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
20
Ranking in other categories
AI-SOC (1st), AI-Powered Security Automation (1st)
AWS Security Hub
Average Rating
7.6
Reviews Sentiment
6.5
Number of Reviews
27
Ranking in other categories
Security Orchestration Automation and Response (SOAR) (7th), Cloud Security Posture Management (CSPM) (17th)
Microsoft Sentinel
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
108
Ranking in other categories
Security Information and Event Management (SIEM) (3rd), Security Orchestration Automation and Response (SOAR) (3rd), Microsoft Security Suite (5th), AI-Powered Cybersecurity Platforms (5th)
 

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

"If I review about 100 vendors that I might work with, Torq is definitely in the top five that gave me personally investment back, just because every bit of effort I put into Torq eventually became a workflow that gave it back to me."
"Once I started to use the system and I saw the potential, it changed all of our work in IT."
"With Torq, I automate actions while achieving SLA compliance and streamline alert investigation processes much better."
"Torq offers the best feature through integration with AI."
"One of the workflows I manage with Torq looks good and provides faster response, saving time and resulting in happy clients."
"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."
"Torq has helped a lot regarding SOC analyst efficiency."
"As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities."
"AWS Security Hub provides comprehensive alerts about potential compliance issues with CIS standards. The integration with third-party tools is another excellent feature. All our workloads are on AWS."
"I find all of the features to be highly valuable."
"Currently, our organization utilizes AWS for various purposes, including SaaS (Software as a Service), PaaS (Platform as a Service), and hosting applications in the cloud. We develop our applications and use AWS services as a platform for basic functions and secondary development needs. Additionally, we rely on PaaS for accounting services. Approximately, 50% of our applications are hosted in the cloud environment, making it a significant part of our current setup."
"Within AWS Security Hub, there is a feature for aggregating and prioritizing security findings which allows for better risk prioritization based on misconfiguration, as they know AWS thoroughly."
"Security Hub provides insightful information about what is running and where there might be weaknesses."
"One of the most effective features of AWS Security Hub is the easy access to a dashboard with a ready-to-use security score."
"Easily integrates with third-party tools"
"Though I'm still in the initial evaluation phase for AWS Security Hub, I would recommend it to others because it has good features."
"The log query feature has been the most valuable because it's very good. You can put your data on the cloud and run queues from Sentinel. It will do it all very fast. I love that I don't have to upload it to an Excel file and then manually look for a piece of information. Sentinel is much faster and is good for big databases."
"We’ve got process improvement that's happened across multiple different fronts within the organization, within our IT organization based on this tool being in place."
"Microsoft Sentinel has improved cost efficiency, which is one of the key areas we're able to win business against the ability to have threat intelligence."
"Having to analyze threats every day, as a person, can be stressful, however, when you have something like Sentinel, which uses threat intelligence to be able to help you respond and remediate against threats at scale, it takes the pressure off."
"The machine learning and artificial intelligence on offer are great."
"Microsoft Sentinel does give me a unified set of tools to detect, investigate, and respond to incidents, and this unified approach is important to me because in today's world with numerous tools available, it's quite important."
"Sentinel's cost-effectiveness blows a lot of other solutions out of the water, especially if you're already in Azure and you can leverage some relationships to bring that cost down."
"Having your logs put all in one place with machine learning working on those logs is a good feature. I don't need to start thinking, "Where are my logs?" My logs are in a centralized repository, like Log Analytics, which is why you can't use Sentinel without Log Analytics. Having all those logs in one place is an advantage."
 

Cons

"What has not worked as well as I hoped with Torq is related to product data management and storing data, although it still provides faster response and saves time."
"Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes."
"Torq does extensive marketing saying that SOAR is dead and markets itself as an all-in-one solution, but this is not actually true."
"There are some issues and bugs that I think need to be fixed, but they are currently not focused on it."
"Even now, we have workflows that are in production that use AI steps and I get different results, making it unusable to some degree."
"The initial deployment of Torq was not easy."
"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."
"It was able to capture data but was unable to differentiate between the agent hostname we are using and the hostname that resides on the back end of the Internet."
"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."
"Feature-wise, we are not able to do multi-cloud. We are doing individual cloud monitoring, and we see other tools are better than AWS Security Hub."
"Security Hub is currently not worth investing in, as it requires more configurations and integration with other services to work effectively."
"AWS Security Hub's configuration and integration are areas where it lacks and needs to improve."
"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."
"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 should be easier to learn and use"
"The dashboards can be improved. Creating dashboards is very easy, but the visualizations are not as good as Microsoft Power BI. People who are using Microsoft Power BI do not like Sentinel's dashboards."
"Their support can be challenging at times, particularly around unique experiences or circumstances with Microsoft Sentinel."
"My primary improvement request would be for auxiliary logs, as they represent our biggest need."
"The pricing could be improved."
"It would be nice to be able to leverage more AI to handle more data and recovery aspects in the future."
"The on-prem log sources still require a lot of development."
"They're giving us the queries so we can plug them right into Sentinel. They need to have a streamlined process for updating them in the tool and knowing when things are updated and knowing when there are new detections available from Microsoft."
"The playbook is a bit difficult and could be improved."
 

Pricing and Cost Advice

Information not available
"The price of the solution is not very competitive but it is reasonable."
"Security Hub is not an expensive solution."
"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's pricing is pretty reasonable."
"There are multiple subscription models, like yearly, monthly, and packaged."
"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."
"The price of AWS Security Hub is average compared to other solutions."
"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."
"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."
"There are no additional costs other than the initial costs of Sentinel."
"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."
"Some of the licensing models can be a little bit difficult to understand and confusing at times, but overall it's a reasonable licensing model compared to some other SIEMs that charge you a lot per data."
"I have worked with a lot of SIEMs. We are using Sentinel three to four times more than other SIEMs that we have used. Azure Sentinel's only limitation is its price point. Sentinel costs a lot if your ingestion goes up to a certain point."
"It's costly to maintain and renew."
"The combination of the ease of accessibility and the free cost of the service is great. But we buy storage based on our events per second and on how many sources are integrated into the solution."
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Use our free recommendation engine to learn which Security Orchestration Automation and Response (SOAR) solutions are best for your needs.
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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
Outsourcing Company
12%
Financial Services Firm
11%
Comms Service Provider
10%
Manufacturing Company
9%
Financial Services Firm
12%
Manufacturing Company
10%
Computer Software Company
7%
Comms Service Provider
7%
Manufacturing Company
11%
Financial Services Firm
10%
Computer Software Company
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise5
Large Enterprise13
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise14
By reviewers
Company SizeCount
Small Business44
Midsize Enterprise23
Large Enterprise47
 

Questions from the Community

What needs improvement with Torq?
There are some bugs in Torq, of course. They can be present in data transformation, some UI debugging, and other area...
What is your primary use case for Torq?
My main use case for Torq is the automation of cyber security processes through a SOAR platform and APIs. A main exam...
What advice do you have for others considering Torq?
Regarding someone thinking about using Torq, I recommend looking into their provided academy to start working with th...
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: September 2026.
915,533 professionals have used our research since 2012.