Find out what your peers are saying about Splunk, Wazuh, Microsoft and others in Security Information and Event Management (SIEM).
It does not require hefty security budgets and can be deployed for enterprise security effectively.
Investing this amount was very much worth it for my organization.
I have noticed a return on investment with Splunk Enterprise Security, as it delivers substantial value for money.
Splunk's cost is justified for large environments with extensive assets.
Support is prompt and helpful.
Most of the time when my team encounters issues, they receive responses within 24 hours.
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.
If you want to write your own correlation rules, it is very difficult to do, and you need Splunk's support to write new correlation rules for the SIEM tool.
I have sought assistance from Splunk Enterprise Security support in the past, particularly during deployment, and they provide friendly and effective help.
The technical support for Splunk met my expectations.
It allows us to think about specific use cases, such as gathering malicious IPs in a single view and analyzing threats based on geolocation.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
It is easy to scale.
I find it easy to scale Splunk Enterprise Security for our environment.
In terms of stability, I would rate Elastic a solid eight out of ten.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
It provides a stable environment but needs to integrate with ITSM platforms to achieve better visibility.
It is very stable.
CrowdStrike and Defender have more established threat intelligence integration due to having a larger client base.
My security testing team continuously reports vulnerabilities, and we have to fix and update the versions frequently.
Elastic Security consumes a lot of resources, requiring a substantial deployment setup.
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.
Improving the infrastructure behind Splunk Enterprise Security is vital—enhanced cores, CPUs, and memory should be prioritized to support better processing power.
What Splunk could do better is to create an API to the standard SIEM tools, such as Microsoft Sentinel.
Splunk Enterprise Security would benefit from a more robust rule engine to reduce false positives.
The pricing is reasonable, especially for Small Medium Enterprises (SMEs), making it a viable option for businesses building their security infrastructure.
This is beneficial for SMEs as they do not need extensive budgets for security solutions.
Elastic Security is considered cost-effective, especially at lower EPS levels.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
Splunk is priced higher than other solutions.
Elastic Security offers good insight regarding alerts, reports, and cases.
Elastic Security offers advanced features such as machine learning and integration with ChatGPT.
We require rapid processing speed for alerts and event data, and Elastic Security is very efficient at handling this level of data.
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.
This capability is useful for performance monitoring and issue identification.
They have approximately 50,000 predefined correlation rules.
The Splunk Enterprise Security's threat-hunting capabilities have been particularly useful in later releases.
Elastic Security combines the features of a security information and event management (SIEM) system with endpoint protection, allowing organizations to detect, investigate, and respond to threats in real time. This unified approach helps reduce complexity and improve the efficiency of security operations.
Additional offerings and benefits:
Finally, Elastic Security benefits from a global community of users who contribute to its threat intelligence, helping to enhance its detection capabilities. This collaborative approach ensures that the solution remains on the cutting edge of cybersecurity, with up-to-date information on the latest threats and vulnerabilities.
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."
Splunk Enterprise Security is widely used for security operations, including threat detection, incident response, and log monitoring. It centralizes log management, offers security analytics, and ensures compliance, enhancing the overall security posture of organizations.
Companies leverage Splunk Enterprise Security to monitor endpoints, networks, and users, detecting anomalies, brute force attacks, and unauthorized access. They use it for fraud detection, machine learning, and real-time alerts within their SOCs. The platform enhances visibility and correlates data from multiple sources to identify security threats efficiently. Key features include comprehensive dashboards, excellent reporting capabilities, robust log aggregation, and flexible data ingestion. Users appreciate its SIEM capabilities, threat intelligence, risk-based alerting, and correlation searches. Highly scalable and stable, it suits multi-cloud environments, reducing alert volumes and speeding up investigations.
What are the key features?Splunk Enterprise Security is implemented across industries like finance, healthcare, and retail. Financial institutions use it for fraud detection and compliance, while healthcare organizations leverage its capabilities to safeguard patient data. Retailers deploy it to protect customer information and ensure secure transactions.
