


Logpoint and Exabeam compete in the security information and event management (SIEM) market. Users are generally more satisfied with the advanced features offered by Exabeam, despite Logpoint being praised for its cost-effectiveness and supportive customer service.
Features: Logpoint users appreciate the intuitive nature and out-of-the-box capabilities that require minimal customization. Exabeam users highlight the comprehensive logging, analytics, and automated threat detection capabilities that are more sophisticated and detailed. Exabeam tends to offer features that are generally more aligned with complex, large-scale environments.
Room for Improvement: Users of Logpoint often mention the need for better integration capabilities with third-party tools. Exabeam users point out that there could be improvements in the system’s reporting functionalities and occasional performance issues.
Ease of Deployment and Customer Service: Logpoint's deployment is frequently noted as straightforward, with comprehensive documentation and a reliable customer service team. Exabeam's deployment is considered more complex but is counterbalanced by responsive customer service.
Pricing and ROI: Logpoint is often commended for its transparent and lower pricing model, making it suitable for smaller budgets. Exabeam, though more expensive, is seen as delivering superior ROI through its advanced capabilities which justify the higher cost. Users feel that the investment in Exabeam is worthwhile due to its performance in handling large-scale and complex security environments.
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.
Exabeam offers more machine learning models that detect anomalies.
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.
Even with TAM support from Exabeam, many issues go unresolved.
I also had the chance to look at the documentation, and the documentation is good.
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.
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.
Regarding Exabeam's scalability and how well it adapts to its customers' needs, I would rate it an eight.
It is web-based and accommodates the expansion of our organization.
Logpoint is scalable and capable of expanding.
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.
These problems were not frequent, and the last six to eight months have been stable.
Overall, I think Exabeam's stability level is good.
I have received reports indicating glitches and downtimes with Logpoint.
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.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
I have explored the SaaS version; it offers many new features.
Exabeam's integration capabilities are not good, as Exabeam has a very limited number of integrations and no out-of-box integration.
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.
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.
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.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
The product offers useful features like the dashboard, timeline, and session views, which enhance our security tools.
Exabeam's UEBA is the most valuable feature that I have found so far.
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.


| Company Size | Count |
|---|---|
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
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.
Exabeam Fusion is a cloud-delivered solution that that enables you to:
-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease
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.”
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