IBM Security QRadar and Logpoint are both leading products in the SIEM and security analytics category. IBM Security QRadar seems to have the upper hand due to its ease of use, robust security features, and superior customer support infrastructure, offering greater flexibility and advanced integration capabilities.
Features: IBM Security QRadar offers intuitive data extraction from raw logs, scalability through easy appliance linking, and seamless handling of custom parsers. It excels in large-scale environments by providing comprehensive monitoring and threat detection. Logpoint combines SIEM and SOAR in one tool, offering cost-effective solutions with user-friendly dashboards, but is noted for its complexity and resource demands.
Room for Improvement: IBM Security QRadar requires enhancements in graphing for anomaly detection, seamless Java deployment, and increased API access. Users seek better cognitive integration across IBM products. Logpoint faces log collection complexities and needs improved freeform log parsing and a more user-friendly interface for complex rules. Enhancement in third-party integration is also desired.
Ease of Deployment and Customer Service: IBM Security QRadar supports on-premises, cloud, and hybrid deployments, providing flexibility. It is supported by a global infrastructure that ensures complexities are managed effectively, though some inconsistencies have been reported in initial support stages. Logpoint offers straightforward licensing but requires better support due to limited local resources, making IBM a preferred choice for immediate assistance.
Pricing and ROI: IBM Security QRadar’s pricing is high, with costs dependent on events per second. Despite being viewed as expensive, its comprehensive features justify the cost, offering significant ROI in infrastructure security and risk mitigation. Logpoint presents a simpler, more cost-effective pricing model, serving budget-conscious organizations. However, additional costs for advanced analytics should be considered.
Investing this amount was very much worth it for my organization.
They assist with advanced issues, such as hardware or other problems, that are not part of standard operations.
The problem escalates through level one to level three, and then the process starts over with Novo again.
I received very good support, possibly due to a good relationship with IBM.
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.
It is web-based and accommodates the expansion of our organization.
Logpoint is scalable and capable of expanding.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
I have received reports indicating glitches and downtimes with Logpoint.
We receive logs from different types of devices and need a way to correlate them effectively.
If AI-related support can suggest rules and integrate with existing security devices like MD, IPS, this SIM can create more relevant rules.
Improving the integration with IBM Server for MetaMask for correlation rules would be beneficial.
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.
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.
IBM is seeking information about IBM QRadar because a part of QRadar, especially in the cloud, has been sold to Palo Alto.
The scenarios we could write regarding the compliance-related issues were quite helpful.
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.
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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