Overview

Product video
Torq is transforming cybersecurity with its AI-native autonomous SOC powered by hyperautomation. By connecting the entire security infrastructure stack, Torq empowers organizations to instantly and precisely remediate security events, and orchestrate complex security processes at scale. Fortune 500 enterprises, including the worlds biggest financial, technology, consumer packaged goods, fashion, hospitality, and sports apparel companies are experiencing extraordinary outcomes with Torq.
Highlights
- Eliminates alert fatigue - Torq's AI-powered HyperSOC™ solution 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 Hyperautomation 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-driven hyperautomation 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.
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Features and programs
Financing for AWS Marketplace purchases
Pricing
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 |
Vendor refund policy
Please contact us at sales@torq.io
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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.
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https://support.torq.io support@torq.io . By purchasing, deploying, accessing, or using this product, you agree to comply with the Google Cloud 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.
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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.

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Customer reviews
Fast, Reliable Network Protection with Comprehensive Security Stats
Finest security tool to detect and block threats affecting digitally
Efficient Threat Protection with Fast Log Collection, Minor Startup Lag
Comprehensive Monitoring and Intelligence Log Analysis for Quick Troubleshooting
Have found automation to save analyst time but miss more accurate data classification
What is our primary use case?
I used Torq for conducting one of the proof of evaluations for a vendor we are connected with. I am currently working with Omnisoc, which provides SOC services for twenty-three other higher education institutions in the US. As part of vendor evaluations, we used Torq to differentiate between the manual workflow we had and the security automation provided with the Torq AI automation capability.
We have used it to differentiate between our manual workflow and the capability it brought us in creating playbooks for many of the detections we have had. In that scenario, although we are an education organization which deals with education-related logs, we should not have much exposure to the data held at different members. From our research and testing with the tool, we realized there have to be modifications and changes to train the LLM on the back end. 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. It was unable to do that sort of classification. We concluded this tool would be more suitable for initial ticket management rather than security automation.
With the use of AI prompts, we were able to start with preparation of the tool through the last chain of niche, which is the remediation part. With the help of prompts, we were able to perform everything present on instant response plan.
How has it helped my organization?
As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities. This has been a significant improvement we have observed from our research with the tool.
What is most valuable?
As someone currently working as an analyst, I can say it has the potential to save significant time and manpower. The amount of workforce needed to perform Taiwan-related activities can be reduced. These are the major improvements we have seen from the research we have conducted with the tool.
What needs improvement?
From our research and testing with the tool, we determined there need to be modifications and changes to train the LLM on the back end. 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. It was unable to do that sort of classification. We concluded this tool would be more suitable for initial ticket management rather than security automation.
Regarding data handling, I would give preference to Torq. For case management, Cortex and its dashboards prove more useful. Cortex and Palo's solutions do not have as much capability as Torq provides with the same tools. However, Torq's dashboards could be improved, especially on the case management side.
For how long have I used the solution?
I have been using the solution for the past four months.
How was the initial setup?
The platform team from our company handled the setup. They managed everything from product testing to deploying it to members. As SOC analysts, we only managed what we could do with the data present.
What about the implementation team?
The implementation was handled by a team of three people.
Which other solutions did I evaluate?
Regarding tools, OpenSearch is something I have examined, which is similar to Elasticsearch but provided by AWS . We are also planning to look at Fellows exam because we are seeking a partner who could provide both hardware and software capabilities. We wanted a vendor who could provide an all-in-one solution.
Elasticsearch and Splunk are the tools I have used most extensively. While I do not have direct experience with Sentinel 's query language, I believe it is similar to the SPL used in Splunk.
What other advice do I have?
One of our members uses AWS , and we receive their feed. This involves triaging AWS-related logs. While I do not have direct work experience with it, I am familiar with AWS-related services and data-related logs, especially with cloud red logs.
I have conducted this evaluation for four months. Beyond that, I have experience with SIEM and vulnerability management. I have worked on integrations between our case management system and the incident management system in ServiceNow , which we moved to Torq.
I found it particularly intuitive to use, as my previous experience with no-code tools helped me adjust to this software more quickly than my peers. The solution could improve its notification capabilities on the member side, particularly in notifying multiple people.
Since working with the demo version of the product, most scenarios and testing data provided the required use cases and results we were seeking with Torq.
I rate Torq an 8 out of 10.