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    Torq AI SOC Platform

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    Sold by: Torq 
    Deployed on AWS
    Torq is the AI SOC platform that combines agentic insights and automation so that enterprises can triage, investigate, and respond to actual risks, faster. Torq streamlines every step from alert through resolution. The platform analyzes your risk context to identify your biggest threats. Working alongside your SecOps staff, the Torq platform integrates with your security stack to facilitate containment and remediation workflows.
    4.8

    Overview

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    Torq is the AI SOC platform that combines agentic insights and automation so that enterprises can triage, investigate, and respond to actual risks, faster. Torq streamlines every step from alert through resolution, expanding capacity and throughput. First, Torq ingests and normalizes telemetry from across your security stack, preparing the data for agentic reasoning at scale. Auto Triage filters out noise and prioritizes actual threats. Next, cases are automatically opened and assigned to highly specialized AI agents designed for investigation and response. Using tools and actions you specify, they gather evidence, assemble timelines, and transparently record decisions and authorized actions. Your team is in complete control. With Torq, your SOC delivers more results, more efficiently, from triage through remediation.

    Highlights

    • Eliminates alert fatigue - Torq's AI SOC platform integrates with AWS security tools to provide a unified view of security cases that prioritizes urgent threats to help decrease mean-time-to-response (MTTR).
    • Ends tech sprawl - Torq's AI SOC platform addresses tech sprawl with integrations across the entire security stack. Now security teams can overcome the challenges posed by complex multi-cloud environments and evolving security threats.
    • Addresses talent shortage- Torq's AI SOC platform capabilities enable security teams to achieve more with fewer resources, reducing the need for manual tasks. Pre-built integrations with AWS services automate complex processes, empowering less experienced analysts, and improving overall productivity.

    Details

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    Deployed on AWS
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    Buyer guide

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    Pricing

    Torq AI SOC Platform

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (3)

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    Dimension
    Description
    Cost/12 months
    Torq Essential
    Essential Plan
    $450,000.00
    Torq Enterprise
    Enterprise Plan
    $450,000.00
    Torq Elite
    Elite Plan
    $450,000.00

    AI Insights

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    Dimensions summary

    You buy the Torq AI SOC Platform through a contract that bills by units. Three plan levels are available: Torq Essential, Torq Enterprise, and Torq Elite. These form a tiered structure, letting you pick the level that matches your security operations needs. Within each plan, you choose the number of units, so the total cost scales with the quantity you commit to. All three plans use the same unit-based billing model and share the same term. The plan you select determines the scope of platform capabilities included.

    Top-of-mind questions for buyers

    All three plans bill by units under the same contract term. The plan you pick sets the scope of platform capabilities you can access. Higher plans expand what is included. To confirm which specific features fall under each plan level, contact the vendor, since the pricing table does not detail per-plan feature splits.
    The plans bill by units, and you choose the quantity you commit to. The available data does not define what a single unit maps to, such as an agent, workspace, case, or seat. Contact the vendor to confirm the exact unit definition before committing to a quantity.
    You select the number of units within your chosen plan, and the total scales with that committed quantity. Cost is driven by two factors together: the plan level you pick and the unit count under it. Adding units raises the total; the plan level sets the capability scope.
    torq.io
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    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Support

    Vendor support

    https://support.torq.io  support@torq.io . By purchasing, deploying, accessing, or using this product, you agree to comply with the AWS Marketplace Standard EULA, and the terms of applicable open source software licenses bundled with the product. In addition, if you elect to use any artificial intelligence (AI) features made available by Torq as part of the product, the Torq AI Terms shall govern your use thereof. Pursuant with the Data Processing Addendum, you authorize the engagement of the sub processors listed at: https://torq.io/legal/subprocessors/ , as may be updated by Torq from time to time.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
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    Overview

     Info
    AI generated from product descriptions
    Alert Triage and Noise Filtering
    Auto Triage filters out noise and prioritizes actual threats based on risk context analysis
    Telemetry Ingestion and Normalization
    Ingests and normalizes telemetry from across security stack to prepare data for agentic reasoning at scale
    Specialized AI Agent Investigation
    Deploys highly specialized AI agents designed for investigation and response that gather evidence, assemble timelines, and record decisions transparently
    Security Stack Integration
    Integrates with AWS security tools and across the entire security stack to provide unified view of security cases
    Automated Containment and Remediation Workflows
    Facilitates automated containment and remediation workflows with tools and actions specified by security teams
    Multi-Source Threat Data Integration
    Correlates and ingests security data from Trellix Security Platform and over 500 third-party tools including 13 AWS integrations to create unified threat visibility across the security stack.
    AI-Driven Detection and Alert Triage
    Applies artificial intelligence-driven analytics and automated alert triage to prioritize threats and provide GenAI-powered insights for threat investigation and remediation guidance.
    No-Code Automation for Investigation and Response
    Provides UI-driven, point-and-click automation capabilities to offload repetitive security operations tasks and accelerate investigation and response workflows.
    Pre-Built Analytics and Correlation Rules
    Utilizes pre-built analytics and correlation rules to rapidly correlate multi-vector threat detections and reconstruct complete attack narratives from ingested security events.
    Hybrid and Air-Gapped Deployment Support
    Supports deployment across cloud, hybrid, and air-gapped environments with flexible integration architecture for diverse infrastructure configurations.
    Alert Prioritization Engine
    Patented Dynamic Risk Scoring alert engine for precise threat identification and response prioritization
    Security Monitoring Coverage
    24x7x365 monitoring and managed detection & response across multiple security domains including endpoint detection, vulnerability management, and firewall management
    SOC Technology Integration
    Curated integration with industry-leading SOC technologies including AWS and Splunk tools through the Deepwatch Security Center
    Security Posture Assessment
    Proprietary Security Index providing quantitative analysis and industry benchmarking for security program maturity evaluation
    Threat Hunting Capability
    Proactive threat hunting services to identify and remediate security threats across the attack surface

    Contract

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    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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    4.8
    175 ratings
    5 star
    4 star
    3 star
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    1 star
    87%
    13%
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    6 AWS reviews
    |
    169 external reviews
    External reviews are from G2  and PeerSpot .
    Binaya M.

    Torq’s Automation and AI Make Security Workflows Fast and Easy

    Reviewed on Oct 07, 2026
    Review provided by G2
    What do you like best about the product?
    What I like most is the automation and AI capabilities. Torq helps reduce repetitive security work by allowing common tasks and response steps to be automated. This means I can spend more time on important security issues instead of manually handling every alert. UI is also easy to work with, and I like being able to see workflows and understand what actions are being performed. In my experience, the platform performs well when automating routing processes, and the AI features can help speed up investigation and decision-making.
    What do you dislike about the product?
    The main downside for me is that the platform can take some time to learn, especially when building more advanced workflows. There are many integrations and automation options, so new users may need some time to understand how everything fits together.
    What problems is the product solving and how is that benefiting you?
    Torq helps solve the problem of manual and repetitive security operations. Security teams can receive a large number of alerts and spend a lot of time investigating and responding to routine issues. Torq helps automate many of these processes.
    Jan M.

    Minimal, Easy-to-Navigate UI That Gets Your SOAR up and running

    Reviewed on Oct 06, 2026
    Review provided by G2
    What do you like best about the product?
    The UI is pretty minimal but its very easy to navigate and easy to get where you need to.
    What do you dislike about the product?
    One minor critique I have is that the available metrics are really minimal.
    What problems is the product solving and how is that benefiting you?
    Torq.io was easy to integrate with our existing security stack, and performs really well it lets us run AI-powered workflows against our alerts. We were onboarded within a matter of hours.
    Lucas G.

    Powerful Triage Settings and Security Alerts

    Reviewed on Oct 06, 2026
    Review provided by G2
    What do you like best about the product?
    The triage settings and security alerts.
    What do you dislike about the product?
    The pricing is super complex to understand, making it expensive
    What problems is the product solving and how is that benefiting you?
    The stack integration to normalize telemetry
    Scott H

    Automation has transformed phishing triage and freed analysts for deeper security work

    Reviewed on Oct 02, 2026
    Review provided by PeerSpot

    What is our primary use case?

    We are primarily using Torq for phishing alert handling, which means we are getting the alert data from Splunk and then using that data to pull back the phishing emails and their attachments, detonate those in various sandboxes, and then collate all that data up into an incident for the security team. We have a couple of workflows in that vein. We handle phishing, malware detections, and AI use cases in a similar manner, and we are also doing a lot of data syncs between our various vulnerability platforms. We are using Torq for that, and eventually we will be using it for case management, but that is currently in the works.

    Regarding Torq's Identity AI, we have not really gotten to use it a whole lot because of the nature of the transition project that we are currently working on, so I do not have a lot to say about it.

    We are actually using Torq to automate triage, investigation, and remediation actions across multiple attack surfaces like endpoint, identity, cloud, and IT right now. Outside of the piecemeal automations we have, which encompass all three of those different security domains, the new case management workflow ecosystem we are building out is exactly that.

    How has it helped my organization?

    Torq has changed the day-to-day experience for my security analysts and me by saving literally thousands of man-hours per month since we have implemented some of these use cases. The analysts now have a lot more free time to do their work.

    What is most valuable?

    My favorite thing about Torq thus far is the ease of use. Once you get over the initial learning curve, which for me was not that bad, it is a very simple platform with a lot of drag and drop tools. It is flexible enough that I could use Python if I needed to, and logically, it is a clean editor that makes a lot of sense for me and is just simple and intuitive.

    What needs improvement?

    What I dislike about it is that because my background is primarily in Python, the platform itself can run on Python scripts, and when those fail, it is really easy for me to figure out what is going on. The underlying code being run by the platform for all of the built-in parts of the built-in automations that you can create uses Go, which is a different programming language, and the way it displays errors within the platform when something goes wrong is not as intuitive for me to debug or do a traceback on. That would be the biggest issue I have with it. Sometimes when it spits out an error, it is either because I am not familiar with Go or the platform itself just is not giving me enough to usually go off of.

    The comparison of Torq's unified platform approach to SOC automation and case management to any other experiences managing multiple point solutions across the stack is a loaded one. The automation side is really great. However, the case management piece, due to the platform being an automation-first tool, lacks real robust out-of-the-box case templates or good solutions for creating those without spending a lot of time doing development work, which makes the overall experience poor, honestly. In a previous life, I managed Phantom, Phantom SOAR, Splunk SOAR, whatever you want to call it, and another tool called IBM Resilient, which was our external ticketing system. That tool itself had pre-made case templates you could use. Out-of-the-box, you could get the integration going between the two platforms, and it was relatively simple. With Torq, you have to build everything from scratch, and I wish it had a little bit more of a case management feature that was a bit more developed.

    For how long have I used the solution?

    I have been working with it for just over a year now, since we did our demo with them and got access.

    What do I think about the stability of the solution?

    I have not really noticed any issues with stability. The UI can be a little laggy at times, but I do not think that is really the platform. I think it might just be the implementation at my company. We have never had an outage, so I can at least say we have not had that happen. Any lag I think is usually client-side, not server-side.

    What do I think about the scalability of the solution?

    Torq seems to be very scalable. There are some limitations with the platform in terms of how many workflows you can run. There is only so many that you are allowed to run in the system before pricing starts becoming an issue, and that can be a little frustrating, but the actual platform itself seems to scale very well.

    How are customer service and support?

    I have contacted their technical support, and that is usually what I am doing when I am reporting bugs.

    If I were to put them on a scale from one to ten, I would give them a ten. They are fantastic.

    The quality and speed of the support from Torq are very much on top of their game. You put in a ticket, and you usually hear something back within an hour. If it is a big bug, we have got dedicated resources from Torq that we can reach out to directly. Even if it is something as simple as asking how to do something in an automation and it is just not working, they will usually get back to me about that. They are very attentive and very much on top of making sure we have all the resources that we need to do what we need to do.

    Which solution did I use previously and why did I switch?

    I have used Splunk SOAR as an alternative that I can compare Torq to.

    Comparing Torq and Splunk SOAR is tough because it is not exactly an apples-to-apples comparison. Overall, I would still say I probably prefer Torq. There are things I like more about Splunk SOAR, like that it is entirely Python-based, so I feel a lot more comfortable writing custom code in there. However, the way that it handles certain data objects requires designing from a different angle in both tools, and I feel like Torq's angle is a little more intuitive.

    Addressing the specific challenges to our SOC that led us to consider changes before implementing Torq is an odd situation because I was not very involved in that decision. I am just dedicated to development work on this platform, but I do not work for the SOC. They are more or less my customer in a way. I think the primary driver was budgetary concerns, as well as issues with ServiceNow. We have a ServiceNow team managing a lot of this, and our SOC wanted more flexibility and a little bit more control over when they could make changes to their case management or their automations. I am pretty sure that was the main driver—putting some of that ownership back into our security teams, with me being their primary technical resource for it.

    How was the initial setup?

    The initial deployment was super easy. Because Torq is a SaaS solution, there is not a lot that goes into it. They basically spin it up for you and then hand you the keys, essentially. That portion of it was like maybe a day, and there were some internal activities that had to happen for setting up things like SSO on our side. That was not difficult. It is just a big corporation, so it takes time to get all the different teams to do what they need to do.

    What was our ROI?

    I saw the benefits of Torq almost immediately after we deployed it because we transitioned our already existing SOAR workflows from Phantom. Pretty much anything that was running in Phantom is now running in Torq as of day one, so it was immediate savings.

    What's my experience with pricing, setup cost, and licensing?

    I would not be the right person to ask about my opinion on the pricing. That would be my manager.

    Which other solutions did I evaluate?

    Torq's abilities compared to other tools I have looked at are similar in that they all do a lot of the same things. I would say all SOAR platforms are kind of the same, at least in essence, in what they are trying to achieve. What differentiates them really is ease of use, and I would say Torq is probably the easiest one that I have gotten to use so far.

    What other advice do I have?

    In my current field overall, I have been working in SOAR automation and software development specifically for roughly six years.

    I have never really done any maintenance myself. That is all being taken care of by the Torq developers. The only thing I have really helped out with in that regard is bug fix type things where I catch an actual platform bug and then report it.

    I do not know what measurable security outcomes matter most to our leadership team. I do not really talk to management all that much. I code for them and let them worry about the KPIs and other matters.

    Overall, I would give Torq a score of nine out of ten. I think it is fantastic. There are some headaches that come with the platform, and the case management part does have issues, but as a SOAR platform, I think it is fantastic. I give Torq a rating of nine out of ten.

    MANOJCHOUDHARY

    Automation has reduced response times and now improves service management for happy clients

    Reviewed on Sep 27, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Torq is for managing IT services and providing faster response.

    How has it helped my organization?

    One of the workflows I manage with Torq looks good and provides faster response, saving time and resulting in happy clients.

    Torq has not changed the day-to-day experience for my security analysts; they are doing their job quickly and effectively, saving time for other organizations.

    The measurable security outcomes that matter most to my leadership team include Torq helping to show real SOC impact through effective team management.

    It delivered immediate value after I started using it.

    What is most valuable?

    In my experience, the best features Torq offers include IT enterprises data management and data transformation; everything is excellent.

    Regarding Torq's AI capabilities, I find its governance and security are secure, and the AI data governance security is very good.

    In terms of accuracy and reliability of output, I find that Torq has very good accuracy and reliability.

    Torq's unified platform approach to AI SOC automation and case management is good; security points are secure, and data is safe with my organization.

    I have used Torq to automate triage, investigation, and remediation actions across multiple attack surfaces, finding that it performs very well and provides faster response with good latency, saving time compared to other tools.

    My experience with Torq's generative AI in terms of increasing alert handling capacity for my SecOps staff is good.

    What needs improvement?

    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.

    I think Torq is a good product as it is.

    For how long have I used the solution?

    I have been using Torq for the past year.

    What do I think about the stability of the solution?

    I find Torq to be stable.

    What do I think about the scalability of the solution?

    The scalability of Torq is very good.

    How are customer service and support?

    Currently, we do not have any challenges in our SOC; if we face any, we contact customer support, and they help very effectively.

    Customer support is also excellent.

    I would rate customer support a 10.

    Which solution did I use previously and why did I switch?

    I did not previously use a different solution.

    What was our ROI?

    I have seen a return on investment, including money saved, time saved, and fewer employees needed.

    What's my experience with pricing, setup cost, and licensing?

    I purchased Torq through AWS Marketplace.

    My experience with pricing, setup cost, and licensing is also good.

    Which other solutions did I evaluate?

    We have not evaluated any other option before choosing Torq.

    What other advice do I have?

    I would rate Torq a 10 on a scale of 1 to 10.

    I chose this rating because customer service is excellent.

    I suggest to others looking into using Torq that it provides a positive response, and I recommend they use it as it is a good product that saves time and leads to happy clients.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
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