


Sumo Logic Security and Logpoint are significant competitors in the security and log management sector. User reviews suggest Sumo Logic Security has an edge in pricing and customer support, while Logpoint's features make it a valuable investment.
Features: Sumo Logic Security integrates extensively and provides real-time analytics, enriching user experience. Logpoint stands out with its advanced correlation engine, enhanced forensic capabilities, and deeper feature set for detailed analysis.
Room for Improvement: Sumo Logic Security users suggest better scalability, advanced threat detection, and more robust enterprise solutions. Logpoint requires improvements in documentation, system performance, and user-friendly guides to enhance its functionality.
Ease of Deployment and Customer Service: Sumo Logic Security is easy to deploy and has responsive customer support. Logpoint offers comprehensive deployment options but needs more responsive support.
Pricing and ROI: Sumo Logic Security's setup costs are reasonable, leading to significant ROI through efficient operations. Logpoint, though more expensive initially, offers a robust feature set that justifies the investment, providing substantial long-term ROI.
Since we started working with Torq, I am handling much fewer alerts. It is becoming really easy for me to handle an alert.
By the time we officially bought Torq, we already had two workflows that were very helpful to us.
It pretty much took until we got to our first renewal where we said that this is the value we see, this is the things we want more, but that is the first place where we said we are happy enough that we want to renew.
We have saved 64 hours of our time overall.
The return on investment I have seen with Sumo Logic Security in the past year and a half is tough to quantify, but I would estimate it has hit the milestones we set internally for return on investment.
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.
Nine out of ten times, they give me a solution even if it is not the solution I wanted, and I still can get to the result.
Logpoint's customer support is not sufficient with only one engineer in the US.
The technical support for Logpoint is very good, and I would rate it as nine out of ten.
I recommend a submission to Logpoint because I worked with it before.
They have a response time of forty-eight hours, which is not instant support.
In general, they usually provide continuous support post-implementation, being in touch and trying to help, which makes their after-sale process better than Splunk.
Sumo Logic Security has really good customer support.
Our case management is super scalable.
In terms of scalability, you can do as long as you can build it, and they can support it.
Regarding the ability of the solution to grow in your work environment, if it is scalable, if it fits your business requirements, and if there is room to scale up, the answer is yes, for sure.
It is web-based and accommodates the expansion of our organization.
Logpoint is scalable and capable of expanding.
Sumo Logic Security scales up automatically because it is a cloud-native SIEM, and I do not need to worry about hardware clusters or capacity planning.
The tool has high scalability because everything is based in the cloud.
I did not face any significant issues with Sumo Logic Security, but the pricing may be a concern as they try to upsell and raise the prices very quickly.
Most of the time, the system is stable as long as the components that they integrate with are stable.
Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes.
I would rate Torq's product stability at eight, acknowledging that there are bugs, glitches, and downtimes.
I have received reports indicating glitches and downtimes with Logpoint.
If there are many records, the system may stop or the UI may become unresponsive.
The query language is pretty straightforward and easy, and it is very powerful for building different searches and dashboards that will serve for later exploration of the same interests I have.
It operates very well as a cloud-native SaaS platform with high availability, and there is no downtime that I have experienced.
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.
From an engineering perspective, I think more error messages and error handling information for our engineering team would be very helpful.
If a step is failing, the system could try to autocorrect it with AI or open a ticket from the workflow itself.
Dealing with foreign entities for support was a challenge, leading us to switch providers due to lack of adequate support.
Logpoint needs to be cloud-native, as currently, it is not.
Logpoint's UEBA is a weak point, while Exabeam's UEBA has extra AI through automation.
This can lead to alerts that are collections of disjointed signals that sometimes make no sense and lack real context; this simplistic approach makes it hard to find coherent stories during investigations.
I would also appreciate the AWS automation integrations to be more secure because currently, they are using access keys, which involves a user rather than roles, which is the security best practice recommended by AWS.
The correlation rules and log mapping are not as mature compared to other SIM tools like Splunk.
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.
I rate the pricing at eight, suggesting it's relatively good or affordable.
This makes it more cost-effective because other solutions often include a third element in their pricing.
From one to ten, where one is cheap and ten is expensive, I would put Sumo Logic Security at a seven.
If you go to the well-known vendors such as Azure Sentinel or other tools like Splunk, you are going to find them costly since they are well-known and they have much more integration compared to Sumo Logic Security.
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.
The UEBA enables us to monitor at the device level, and SOAR provides playbooks and templates that we can modify and incorporate into the platform.
It effectively facilitates logging and log storage and assists in security event management by ingesting security events.
The most valuable feature, which is endpoint security, is included in Logpoint, and an extra feature is the integration.
The features I find most useful in Sumo Logic Security are the ease of implementation and connectors; they have a very easy connection and many connectors to important systems, making it very easy to implement and fast to start running in production.
They are able to save time on fewer alerts because we are able to perform tuning on the logs to be able to only get relevant or security relevant incidents.
My SOC analysts were crushed under Splunk, but Sumo has actually eased the workload and made it tolerable for three people.


| Company Size | Count |
|---|---|
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 14 |
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?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.
Logpoint is a cutting-edge security information and event management (SIEM) solution that is designed to be intuitive and flexible enough to be used by an array of different businesses. It is capable of expanding according to its users' needs.
Benefits of Logpoint
Some of the benefits of using Logpoint include:
Reviews from Real Users
Logpoint is a security and management solution that stands out among its competitors for a number of reasons. Two major ones are its data gathering and artificial intelligence (AI) capabilities. Logpoint enables users to not only gather the data, but also to maximize both the amount of data that can be gathered and its usefulness. It removes many of the challenges that users may face in data collection. The solution allows users to set rules for collection and then it pulls information from sources that meet the rules that have been set. This data is then broken into manageable segments and ordered. Users can then analyze these ordered segments with ease. Additionally, LogPoint utilizes both machine learning and AI technology. Users gain the ability to protect themselves from and if necessary resolve emerging threats as soon as they arise. The AI sets security parameters for a user’s system. These act as a baseline that are triggered and notify the user if anything deviates from the rules that it set up.
The chief infrastructure & security officer at a financial services firm writes, “It is a very comprehensive solution for gathering data. It has got a lot of capabilities for collecting logs from different systems. Logs are notoriously difficult to collect because they come in all formats. Logpoint has a very sophisticated mechanism for you to be able to connect to or listen to a system, get the data, and parse it. Logs come in text formats that are not easily parsed because all logs are not the same, but with Logpoint, you can define a policy for collecting the data. You can create a parser very quickly to get the logs into a structured mechanism so that you can analyze them.”
A. Secca., a Cyber Security Analyst at a transportation company, writes, “It is an AI technology because it is using machine learning technology. So far, there is nothing better out there for UEBA in terms of monitoring endpoints and user activity. It is using machine learning language, so it is right at the top. It provides that capability and monitors all of the user’s activities. It devises a baseline and monitors if there is any deviation from the baseline.”
Sumo Logic
Sumo Logic is a cloud-based machine data analytics company focusing on security, operations, and BI use cases. It provides log management and analytics services that leverage machine-generated big data to deliver real-time IT insights.
Sumo Logic is developed as a SaaS solution, it processes and analyzes large quantities of IT infrastructure data, spotting patterns and anomalies that can indicate a potential threat or significant event.
The platform is designed to help IT, security, and business operations teams develop, manage, and secure their applications and cloud infrastructures. It collects, aggregates, and analyzes data from various sources including servers, virtual machines, and network devices, providing visibility into complex systems.
What are the key features of Sumo Logic?
Real-time Analytics: Continuous queries and live dashboards that provide insights into application performance, user behavior, and security threats.
Advanced Machine Learning: Utilizes machine learning algorithms to identify trends, anomalies, and patterns.
Integrated Threat Intelligence: Tools and workflows to enhance security postures by detecting threats and anomalies.
Multi-tenant Cloud Service: Allows users to operate in a shared cloud environment securely.
The solution aims to simplify data complexity, streamline operations, and provide actionable insights to businesses across various industries.
Sumo Logic is designed to handle high data volumes from multiple sources without diminishing performance. It is primarily deployed in the cloud with seamless integrations for AWS, Google Cloud, and Microsoft Azure. This flexibility allows users to leverage Sumo Logic’s capabilities regardless of their existing cloud infrastructure.
In summary, Sumo Logic is a comprehensive, AI-driven analytics solution ideal for businesses looking to enhance their IT and security operations through data-driven insights and real-time monitoring. Its flexible deployment options and scalable pricing model make it accessible for various business sizes and sectors.
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