Find out what your peers are saying about Splunk, Wazuh, Microsoft and others in Security Information and Event Management (SIEM).
With SOAR, the workflow takes one minute or less to complete the analysis.
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.
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.
The technical support is good; we have a separate portal for partners, and since we are paying for the service, they provide a response timeframe based on severity—critical issues are addressed within four hours, medium issues within one day, and non-urgent issues may take a couple of days.
Customer support is very helpful and effectively solves my problems.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
LogRhythm SIEM is highly scalable as it has modular components allowing me to expand storage, indexing, or other resources as needed.
LogRhythm SIEM is scalable; it can handle about 200 or 500 devices without much difference.
The scalability of LogRhythm SIEM is good enough, warranting an eight out of ten rating.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
The platform needs regular updates to fix problems encountered with each quarterly patch and version release.
LogRhythm SIEM still needs improvement regarding stability, particularly in environments with heavy data consumption.
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.
IBM Security QRadar does not support Canvas, so we had to create custom scripts and workarounds to pull logs from Canvas.
I have noticed some problems with parsing errors, event mismatches, and data mismatching, so ensuring accurate parsing and continuous improvement according to device updates are my basic expectations as a detection engineer.
There is currently no way to determine how much data is being consumed in terms of gigabytes, terabytes, or petabytes from particular devices or environments.
A more user-friendly user interface with drag-and-drop features, similar to key competitors like Splunk, would be beneficial.
Splunk is more expensive than IBM Security QRadar.
The license cost is around $10 per MPS.
I find LogRhythm SIEM affordable, as it is a bit less costly than QRadar.
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.
We have FortiSOAR and IBM Resilient for IBM Security QRadar orchestration.
The seamless integration for case management, along with a user-friendly dashboard user interface, makes tasks like threat hunting more efficient.
We have enough budget for cloud deployment, but we choose to keep it on-prem to ensure data privacy; cyberattacks are a concern, but data privacy is the foremost priority due to sensitive government information.
This helps SOC analysts significantly as they can monitor all log sources through a dashboard, quickly identifying which sources haven't reported within their specified timeframes.
| Product | Market Share (%) |
|---|---|
| IBM Security QRadar | 7.2% |
| LogRhythm SIEM | 3.1% |
| OpenText Behavioral Signals | 0.4% |
| Other | 89.3% |
| Company Size | Count |
|---|---|
| Small Business | 88 |
| Midsize Enterprise | 36 |
| Large Enterprise | 102 |
| Company Size | Count |
|---|---|
| Small Business | 38 |
| Midsize Enterprise | 38 |
| Large Enterprise | 83 |
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."
LogRhythm SIEM Platform is an award-winning platform in security analytics. With more than 4,000 customers globally, LogRhythm SIEM is an integrated platform that helps security operations teams protect critical infrastructure and information from emerging cyberthreats. Ultimately, LogRhythm SIEM is an integrated set of modules that contribute to the security team’s fundamental mission: rapid threat monitoring, threat detection, threat investigation, and threat neutralization. LogRhythm SIEM is for organizations that require an on-premises solution and offers:
● Streamlined workflow
● Secure data access
● Real-time visibility
● A unified user experience
● Management customization
Security information and event management (SIEM) solutions have been evolving for over a decade; their core functionality still acts as the most effective foundation for any organization’s technology stack. A SIEM solution enables an organization to centrally collect data across its entire network environment to gain real-time visibility into activity that may pose a risk to the organization. SIEM technology addresses threats before they become significant financial risks while simultaneously helping better manage an organization’s assets.
LogRhythm SIEM has many key features and capabilities, including:
● High-Performance Log Management: LogRhythm SIEM offers structured and unstructured search capabilities which allows users to swiftly search across an organization’s vast data to easily find answers, identify IT and security issues, and troubleshoot issues. Users can efficiently process and index terabytes of log data daily.
● Network and Endpoint Monitoring: Forensic sensors allow users to gain deep visibility into endpoint and network activity. Users can see behavioral anomalies and better respond to incidents.
● SmartResponse™ Automation: LogRhythm SIEM allows users to centrally execute pre-staged actions that automate incident investigatory tasks and responses.
● Automated Machine Analytics: LogRhythm SIEM's AI Engine continuously analyzes all collected security incidents and forensic data. Security teams are delivered precise, real-time intelligence about risk-prioritized threats.
● Case and Security Incident Management: LogRhythm SIEM offers an integrated workflow so that threats don’t slip through the cracks. Collaboration tools help centrally manage and track investigations.
● User and entity behavior analytics (UEBA): Embedded deterministic UEBA monitoring helps protect against insider threats.
● Security orchestration, automation, and response (SOAR): LogRhythm SIEM includes our embedded SOAR solution to increase efficiency and higher-quality incident response with low mean time to response (MTTR).
Benefits to Using LogRhythm SIEM
● The platform offers great value to security and IT operations. Users have the ability to map their security and IT operations to existing frameworks such as NIST and MITRE ATT&CK.
● The platform offers broad integration across security and IT vendors: Users benefit from support for integration with hundreds of security and IT solutions. In turn, this further extends SIEM capabilities and data collection.
● The platform provides compliance adherence, enforcement, and reporting: The prebuilt compliance modules automatically detect violations as they occur and remove the burden of manually reviewing audit logs.
Reviews from Real Users
LogRhythm SIEM stands out among its competitors for a number of reasons. Two major ones are its ability to be customized and its quick performance of queries.
Jason G., a senior cybersecurity engineer, writes, "I have found the Advanced Intelligence Engine has provided the most value to us because we can customize alarms based on our requirements and have created hundreds of alarms that notify different people for different scenarios."
Andy W., principal consultant at ITSEC Asia, notes, “LogRhythm SIEM covers all our primary security analysis needs. It makes it easier for us to analyze threats and improves our response times. It's a versatile platform that performs queries fast compared to other SIEM solutions.”
OpenText Behavioral Signals enhances organizational security monitoring with its robust correlation engine and streamlined dashboard, offering customization to suit different environments like airports or banks.
OpenText Behavioral Signals effectively integrates device logs through its strong correlation engine. The platform's customization options enable tailored alerts to match specific use cases, such as airports or banks. Although it needs more frequent updates to stay aligned with global incidents, it provides a centralized dashboard that ensures comprehensive visibility across networks. Users find the interface intuitive, making rule writing and report access easy, aiding in a comprehensive understanding of the network environment.
What are the key features of OpenText Behavioral Signals?In industries like banking and airports, OpenText Behavioral Signals is implemented for gathering global intelligence from the cloud. It notifies organizations about global attacks and updates its correlation engines. These industries utilize the platform for monitoring and analyzing logs from network devices, security log management, and addressing network challenges like link failures and unauthorized login attempts, ensuring better security posture with behavioral analytics and log integration using Unix and Microsoft-based connectors.
