


Microsoft Sentinel and UnderDefense are competing in the cybersecurity domain, with Microsoft Sentinel having an edge in integration capabilities, while UnderDefense focuses on custom security solutions, offering personalized defenses. Both have their strengths, with Microsoft Sentinel winning in flexibility.
Features: Microsoft Sentinel offers AI-driven threat detection, automated response, and advanced integration with Microsoft's ecosystem, allowing organizations to manage significant data volumes across hybrid environments. In contrast, UnderDefense emphasizes its specialized threat intelligence and tailored security strategies alongside an advanced anomaly detection mechanism that monitors and identifies behavioral anomalies and potential threats.
Room for Improvement: Microsoft Sentinel could enhance its customization options and provide a more detailed and user-friendly interface for specific use cases. Further, it could improve non-Microsoft product integration. UnderDefense might expand its scalability and streamline deployment processes while advancing machine learning capabilities for enriched automation across various environments.
Ease of Deployment and Customer Service: Microsoft Sentinel's cloud-based architecture ensures seamless deployment, especially for users within the Microsoft ecosystem, and benefits from Microsoft’s integrated support services. In contrast, UnderDefense offers more specialized deployment methodologies, requiring detailed security assessments but offers tailored advisory services that are highly personalized.
Pricing and ROI: Microsoft Sentinel offers competitive pricing, particularly for organizations using Microsoft solutions, with flexible pricing models supporting scalable operations. UnderDefense, which may involve higher initial costs, focuses on providing substantial ROI through its custom-made security solutions that emphasize high-value security measures over time.
Since we started working with Torq, I am handling much fewer alerts. It is becoming really easy for me to handle an alert.
We have seen a return on investment, targeting a $600,000 ROI for the year.
I have seen a return on investment with Torq, as the automation reduces the number of employees needed and significantly saves both time and resources.
If a customer is already using Microsoft’s ecosystem, the ROI can be positive due to seamless integration.
Our MTTR, mean time to response, improved by forty to fifty percent. Earlier, medium-severity incidents took two to three hours to resolve. Now, after Microsoft Sentinel, it is forty to fifty-five minutes.
We attribute our growth to Sentinel.
Log triage no longer takes up our security team's calendar, allowing those hours to go into platform architecture, our DRM protections, and proactive hardening.
Each alert comes with the caller, the endpoint, and the queries, so we do not dig through logs.
I have seen a return on investment, mainly in time and not having to build a team, as we did not need to hire a security team to get around-the-clock cloud coverage.
My impression of their technical support during the initial setup was that they were helpful, responded within a reasonable timeframe, and provided exactly what we needed.
The speed and quality of their answers have been pretty good, as I usually get a response within 24 hours, and they follow up well.
We can always get an answer, and the support team are experts in their own system.
Microsoft invests significantly in support, which is crucial for companies.
I believe Microsoft could improve by keeping customer service within the US for Microsoft Sentinel customers who are within state and federal government sectors.
Working with a Sentinel engineer helped us tune settings effectively.
When we needed a baseline adjusted or a finding explained, we got a clear answer quickly.
I would rate the customer support on a scale of 1 to 10 as 10.
The customer support has been responsive and helpful.
Its scalability is good because it has a cloud-native architecture and it expands dynamically to handle thousands of alerts at the same time.
Torq's scalability is a notable strength, as its workflow-based automation allows expansion from managing a few repetitive security tasks to handling more complex and high-volume SOC operations.
Our case management is super scalable.
There is no need to add hardware or redesign infrastructure because it is cloud-native.
As our organization uses Microsoft Azure and Defender, everything grows together, and we can integrate various features seamlessly.
Being a SaaS solution, the scalability of Microsoft Sentinel is robust.
Our platform sees sharp spikes from bulk uploads and fast-spreading assets, and UnderDefense Agentic AI SOC handles them without needing us to resize or retune anything.
UnderDefense's scalability is good, as the same coverage applies as our cloud environment grows without us changing anything on our side.
Our traffic is high, and UnderDefense handles it without us changing anything.
I evaluate it based on service availability, workflow execution reliability, integration failures, and incident history.
Most of the time, the system is stable as long as the components that they integrate with are stable.
I have never faced any downtime or issues.
I have never experienced any downtime, crashes, or performance issues with Microsoft Sentinel because it is SOC as a Service, so it maintains 100% uptime and scaling.
In the past two years, our team hasn't encountered any issues with the stability of Microsoft Sentinel from an operations perspective.
I need to be aware of deprecated connectors as they may disconnect, but the data continues to be sent with a need for quick adaptation.
We use it every day and it has run steadily, including when our traffic is high.
Torq should offer default templates that can directly scan firewall data and automate actions.
The AI value depends on maturity. Real value depends heavily on telemetry, integration depth, and workflow design, all of which rely on how mature customers are in their SOC department.
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.
Log ingestion and retention costs can grow quickly, and understanding which data source is driving cost is not always straightforward.
We have some tools, such as our off-site Meraki firewalls, that have not fully integrated with Sentinel.
There are complexities in calculating the right pricing tier for different customers, which makes it difficult for me as a consultant during upfront pricing.
It is worth it for accurate triage later, but a template for common upload patterns will shorten that time.
The setup and daily use have both been smooth.
Showing the customer name in the alert would help.
When they bring more and more value into the platform, it makes more sense to pay that price, but still, it is expensive.
Before deciding to implement Torq, I considered that compared to our old case management platform, Torq was a much better price and had a lot better value for what you get out of the platform, which was a key consideration for the company.
It is an expensive solution, not an inexpensive solution, but we get through the flexibility.
It has been beneficial that Microsoft Sentinel is included as part of the Microsoft package, making it more cost-effective.
Microsoft Sentinel is not a low-cost SIEM.
Microsoft Sentinel is provided at no cost, so we didn't have any issues with the cost.
licensing was clear from the start, giving me good value for the price
Compared with building the same coverage in-house, it is a much lower cost and did not require us to hire.
Pricing was fair for what we get, setup was easy and took very little of our time, and the licensing was clear from the start, enabling us to see good value for the price.
Torq's unified platform approach to AI SOC automation and case management has significantly benefited us by integrating the case management platform with the automation, which saves time compared to managing multiple point solutions across our security stack.
The fact that I can build whatever I want within my own imagination and skills without relying on code is the best thing about Torq.
You can copy and paste a cURL command. If you have documentation or APIs, you usually have an example on the side. You basically have all the information on how the API call should be. You can just copy that and paste it into a step, and it will just build the step for you.
Microsoft Sentinel's ability to correlate data from multiple sources and its detection capabilities are essential.
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.
Microsoft Sentinel's ability to correlate data from multiple sources enhances our threat detection capabilities beyond what is a simple data lake solution by filtering out the noise and consolidating the signal down to a meaningful level that is easier to investigate and see.
The linking, the filtering, and the readable reasoning each help on their own, but together, they allow a small security team to handle the volume our platform produces without losing sight of the cases that matter.
It has full-time support 24/7 with proactive reports, and monitoring runs around the clock.
The sorting signals and clear reports help my team day-to-day because every morning we look at a short list of cases that matter instead of a long list of raw alerts, and each case comes with the full picture, so we can decide in a few minutes whether it needs action.


| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 7 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 44 |
| Midsize Enterprise | 23 |
| Large Enterprise | 47 |
Torq is the enterprise AI SOC solution that effectively combines adaptive insights and automation to handle critical threats efficiently. It manages threat lifecycles, swiftly moving from triage to response, ensuring effective risk management.
Torq is designed to streamline security operations by aggregating telemetry across your security stack. It investigates significant risks and manages threats from triage to containment and remediation. This AI-driven tool enhances the capabilities of your SecOps team, allowing them to achieve more impactful results without introducing complicated processes.
What are the key features of Torq?
Why consider Torq based on reviews?
In industries like finance and healthcare, Torq shows effectiveness by adapting to specific risk scenarios often encountered in these fields. Its integration with existing infrastructures makes it a valuable asset for maintaining stringent security standards, essential for protecting critical data and operations in diverse high-stakes environments.
Microsoft Sentinel offers cloud-native SIEM and SOAR capabilities with AI-powered threat detection, automated responses, and integration with Microsoft products. It is designed for comprehensive threat management with flexible deployment and scalability.
Microsoft Sentinel provides centralized management of cloud-based security monitoring and incident detection. Leveraging AI capabilities, it enhances threat intelligence and automation, allowing users to streamline security operations across cloud and on-premises systems. Microsoft Sentinel efficiently aggregates logs, correlates security events from multiple sources, and integrates seamlessly with Microsoft security offerings such as Defender. While its flexible deployment options and robust automation through playbooks are advantageous, users may encounter challenges with integration outside of Microsoft products, potential log ingestion delays, and a complex query language. The platform would benefit from enhanced speed, a simplified interface, improved query performance, and stronger documentation support.
What are the most important features of Microsoft Sentinel?In specific industries, Microsoft Sentinel is utilized for its capability to monitor cloud-based workloads and detect incidents effectively. Users in healthcare, finance, and retail adopt it for its strong AI-driven threat detection and its ability to integrate with existing Microsoft solutions, ensuring high-level security operations and compliance with industry standards.
AGENTIC AI SOC
UnderDefense Agentic AI SOC works on top of your existing security stack, turning every security team into a machine-speed defense unit without tool replacement or headcount expansion. It takes over the investigative routine that pulls your team away from strategic decisions: enrichment, correlation, triage.
▸ Investigation at Machine Speed: Agentic AI SOC accesses tools, enriches data, and performs deep cross-environment investigations at machine speed. It correlates, triages, and forms conclusions, offloading all repetitive work from your team.
▸ 2 Minutes Per Alert: Complete SIEM queries, threat intel checks, and cross-system correlations in 2 minutes. Every step fully observable and auditable.
▸ Human at Every Decision Point: The platform verifies suspicious activity with end-users via Slack or Teams, then routes containment decisions to your team or our 24/7 IR experts.
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