IBM Security QRadar and Logpoint are both major contenders in the cybersecurity space, focusing on SIEM and threat intelligence. IBM Security QRadar seems to have an upper hand due to its extensive integration with third-party tools and advanced analytics, while Logpoint shines with its cost-effective pricing and ease of integration.
Features: IBM Security QRadar is known for its seamless integration with third-party tools, robust machine learning abilities, and superior threat intelligence capabilities. Logpoint offers combined SIEM and SOAR functionalities, user-friendly interface, and a fixed pricing model that avoids unexpected cost increases due to logging volumes. QRadar impresses with comprehensive integration options, whereas Logpoint highlights cost-effective ease of use and integration simplicity.
Room for Improvement: IBM Security QRadar could further enhance its AI and threat intelligence capabilities and improve resource use efficiency to handle resource demands better. Improvements in the GUI, reporting options, and integration capabilities are also suggested. Logpoint users note a need for more third-party integrations and better handling of extensive use cases, along with resource demand optimization and improved ease of extending functionalities.
Ease of Deployment and Customer Service: IBM Security QRadar offers versatile deployment options across on-premises, hybrid, and public cloud environments, complemented by robust technical support but with some issues regarding the support consistency. Logpoint provides a commendably easy on-premise and hybrid deployment with good technical support. Users value its fixed-cost clarity but suggest enhancing the interface and onboarding documentation for smoother experiences.
Pricing and ROI: IBM Security QRadar has high pricing based on events per second, more suitable for large enterprises but justified by its feature-rich offerings, showing a potential return on investment. Logpoint offers a straightforward pricing structure that is mid-range, fixed, and provides significant savings, making it more attractive for mid-sized businesses seeking balance between features and affordability.
With SOAR, the workflow takes one minute or less to complete the analysis.
Investing this amount was very much worth it for my organization.
Support needs to understand the issue first, then escalate it to the engineering team.
The support is really good; for instance, if a critical ticket is submitted, you will get paged right away as it gets logged, and their analyst will look into it, letting you know as soon as possible so you can work on it.
They assist with advanced issues, such as hardware or other problems, that are not part of standard operations.
The technical support for Logpoint is very good, and I would rate it as nine out of ten.
Logpoint's customer support is not sufficient with only one engineer in the US.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
It is web-based and accommodates the expansion of our organization.
Logpoint is scalable and capable of expanding.
The product has been stable so far.
I think QRadar is stable and currently satisfies my needs.
I have received reports indicating glitches and downtimes with Logpoint.
IBM Security QRadar does not support Canvas, so we had to create custom scripts and workarounds to pull logs from Canvas.
If AI-related support can suggest rules and integrate with existing security devices like MD, IPS, this SIM can create more relevant rules.
This would help identify critical or high-priority alarms in QRadar.
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.
Splunk is more expensive than IBM Security QRadar.
I rate the pricing at eight, suggesting it's relatively good or affordable.
Recently, I faced an incident, a cyber incident, and it was detected in real time.
I would assess IBM Security QRadar's AI and machine learning capabilities as very helpful for threat detection and response.
We have FortiSOAR and IBM Resilient for IBM Security QRadar orchestration.
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.
| Product | Market Share (%) |
|---|---|
| IBM Security QRadar | 7.2% |
| Logpoint | 0.9% |
| Other | 91.9% |
| Company Size | Count |
|---|---|
| Small Business | 88 |
| Midsize Enterprise | 36 |
| Large Enterprise | 102 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
IBM Security QRadar (recently acquired by Palo Alto Networks) is a security and analytics platform designed to defend against threats and scale security operations. This is done through integrated visibility, investigation, detection, and response. QRadar empowers security groups with actionable insights into high-priority threats by providing visibility into enterprise security data. Through centralized visibility, security teams and analysts can determine their security stance, which areas pose a potential threat, and which areas are critical. This will help streamline workflows by eliminating the need to pivot between tools.
IBM Security QRadar is built to address a wide range of security issues and can be easily scaled with minimal customization effort required. As data is ingested, QRadar administers automated, real-time security intelligence to swiftly and precisely discover and prioritize threats. The platform will issue alerts with actionable, rich context into developing threats. Security teams and analysts can then rapidly respond to minimize the attackers' strike. The solution will provide a complete view of activity in both cloud-based and on-premise environments as a large amount of data is ingested throughout the enterprise. Additionally, QRadar’s anomaly detection intelligence enables security teams to identify any user behavior changes that could be indicators of potential threats.
IBM QRadar Log Manager
To better help organizations protect themselves against potential security threats, attacks, and breaches, IBM QRadar Log Manager gathers, analyzes, preserves, and reports on security log events using QRadar Sense Analytics. All operating systems and applications, servers, devices, and applications are converted into searchable and actionable intelligent data. QRadar Log Manager then helps organizations meet compliance reporting and monitoring requirements, which can be further upgraded to QRadar SIEM for a more superior level of threat protection.
Some of QRadar Log Manager’s key features include:
Reviews from Real Users
IBM Security QRadar is a solution of choice among users because it provides a complete solution for security teams by integrating network analysis, log management, user behavior analytics, threat intelligence, and AI-powered investigations into a single solution. Users particularly like having a single window into their network and its ability to be used for larger enterprises.
Simon T., a cyber security services operations manager at an aerospace/defense firm, notes, "The most valuable thing about QRadar is that you have a single window into your network, SIEM, network flows, and risk management of your assets. If you use Splunk, for instance, then you still need a full packet capture solution, whereas the full packet capture solution is integrated within QRadar. Its application ecosystem makes it very powerful in terms of doing analysis."
A management executive at a security firm says, "What we like about QRadar and the models that IBM has, is it can go from a small-to-medium enterprise to a larger organization, and it gives you the same value."
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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