


Find out what your peers are saying about Splunk, IBM, Microsoft and others in Security Information and Event Management (SIEM).
Exabeam offers more machine learning models that detect anomalies.
I have seen a return on investment with Exabeam Fusion SIEM, and it is worth the money.
With SOAR, the workflow takes one minute or less to complete the analysis.
AWS gives the chance to implement a solution out of the box with use cases that are already in IBM Security QRadar.
Investing this amount was very much worth it for my organization.
The solution is time-saving, particularly in the long run after it is deployed, enabling us to get value promptly.
I would rate Exabeam Fusion SIEM support team a nine out of ten; I do not give anyone a perfect score.
I also had the chance to look at the documentation, and the documentation is good.
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.
There is no UK-based support, which leads to delays in waiting for US support.
If I raise a ticket, it initially goes to the L1 team, but the next level of escalation is really effective.
They excel in response times and quick reactions when there's an actual threat.
I believe Exabeam Fusion SIEM is excellent regarding scalability, and I would rate it at approximately an eight out of ten.
Regarding Exabeam's scalability and how well it adapts to its customers' needs, I would rate it an eight.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
I can rate it around eight to nine, and it is very scalable and capable of handling tasks, especially for the on-premises product.
We have not had any customers come back to say they cannot scale at the speed of their business growth.
The solution is scalable as it is cloud-based and cloud-native.
Regarding stability, I would rate Exabeam Fusion SIEM at approximately eight to eight and a half out of ten because it is very stable.
Overall, I think Exabeam's stability level is good.
On cloud, you don't see any disconnections or instability.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
The stability of Securonix Next-Gen SIEM is based on the events we are processing.
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.
The correlation rules are excellent.
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.
At the admin level, we have many challenges where log parsing is causing issues and compatibility is not present.
The passing and setup are quite complex at the beginning, making onboarding not smooth.
SIEM could have better integration with other technologies.
The pricing for Exabeam Fusion SIEM is not cost prohibitive, but it was a little more than I initially thought.
Splunk is more expensive than IBM Security QRadar.
It was costly mainly because of the value you can get right now compared to other solutions.
It depends on how much you want to spend.
Licensing is based on events per second (EPS), costing between $50 to $60 per EPS.
The solution is definitely not expensive.
The pricing has similar ingestion charges compared to other solutions, such as Splunk.
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.
I appreciate that Exabeam Fusion SIEM has so many rules built in, approximately eight hundred and fifty, and almost five hundred fifty integrations along with the behavior histograms.
Recently, I faced an incident, a cyber incident, and it was detected in real time.
IBM Security QRadar gives the opportunity to improve the time to market of the releases with a great evaluation of cybersecurity breaches.
Compared to ArcSight, Splunk, or any other SIEM tools where you need their processing language such as structured query language, SPL, and in Sentinel there is KQL query languages, IBM Security QRadar doesn't require reliance on query languages.
The software includes user behavior interactions, dashboards, and training capabilities.
Now, the process is automatic, reducing our workload.
The other SIEM solutions lack an option for big data analysis, whereas in the Securonix Next-Gen SIEM, we have this option.
| Product | Mindshare (%) |
|---|---|
| IBM Security QRadar | 5.6% |
| Exabeam | 1.7% |
| Securonix Next-Gen SIEM | 1.3% |
| Other | 91.4% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 93 |
| Midsize Enterprise | 39 |
| Large Enterprise | 107 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 5 |
| Large Enterprise | 19 |
Exabeam offers intuitive interfaces, detailed dashboards, and powerful analytics to enhance security investigations. Its machine learning detects complex threats with automation streamlining tasks for efficiency and integration with AWS.
Exabeam stands out with its robust cybersecurity management capabilities, offering advanced user behavior analytics and incident detection tools. Security teams can use its systems to monitor events, create investigative timelines, and analyze log data. While praised for easy use, it benefits from initial training for optimal utilization. Challenges include the need for better flexibility, cost-management, and enhanced AI integration. However, it facilitates seamless AWS integration, real-time updates, and vulnerability prioritization within business contexts. Improvements in dashboard customization and overall performance, especially in UI and log ingestion, could enhance usability.
What are Exabeam's key features?Exabeam is widely used across industries such as finance and government for cybersecurity management. Organizations leverage its capabilities for integrating logs, protecting sensitive environments, and supporting compliance efforts. Its tools aid in detecting anomalies and managing security operations within infrastructures effectively.
IBM Security QRadar offers real-time threat detection, data correlation, and integration with third-party solutions, providing a user-friendly interface, scalability, and extensive reporting capabilities for SIEM needs.
IBM Security QRadar is designed for comprehensive security monitoring in diverse environments, aiding sectors like telecom and finance with advanced threat detection and breach management. It aggregates data and analyzes user behavior, while its customizable and out-of-the-box rules deliver robust security insights and vulnerability management. The platform seeks enhancements in integration, performance, and user interface, with a focus on AI and cloud service compatibility.
What are the most important features of IBM Security QRadar?Telecom, finance, and cloud-based industries implement IBM Security QRadar for threat detection, compliance, and security monitoring. It is deployed for log collection and correlation, user behavior analytics, and ensuring secure data transfer and incident management, focusing on compliance and anomaly detection.
Securonix Next-Gen SIEM is a security information and event management solution designed to provide advanced threat detection, response, and compliance capabilities. It leverages machine learning and big data analytics to offer a comprehensive security platform for modern enterprises.
Securonix Next-Gen SIEM utilizes advanced analytics and machine learning to detect complex threats that traditional SIEM solutions might miss. Its architecture is built on Hadoop, enabling scalability and the processing of large volumes of data in real-time. This allows organizations to gain deep insights into security incidents, prioritize threats, and automate response actions. The solution also includes behavior analytics to detect insider threats and unknown attacks, integrating seamlessly with existing IT infrastructure.
What are the critical features of Securonix Next-Gen SIEM?
What is the ROI expectations?
Securonix Next-Gen SIEM is implemented across various industries, including finance, healthcare, and retail. Its flexibility and advanced analytics capabilities make it suitable for environments with complex security needs. In finance, it helps detect fraud, while in healthcare, it ensures patient data security. In retail, it protects against data breaches and payment fraud.
In summary, Securonix Next-Gen SIEM offers advanced threat detection, scalability, and integration capabilities, making it a robust solution for modern enterprises.