

IBM Security QRadar and SentinelOne Vigilance compete in the cybersecurity sector. IBM Security QRadar seems to have the upper hand with its scalability and extensive log source compatibility, while SentinelOne Vigilance offers robust endpoint protection and machine learning capabilities.
Features: IBM Security QRadar provides robust log management, SIEM capabilities, NetFlow analysis, and customizable rule-building features. It is also known for its scalability and compatibility with a wide range of log sources. SentinelOne Vigilance excels with its detection capabilities, including user and behavior analytics, machine learning, and comprehensive endpoint protection features.
Room for Improvement: IBM Security QRadar could enhance its analytics, reporting, and integration with other security systems. Users have reported challenges with technical support and complex licensing structures. SentinelOne Vigilance can improve its dashboard functionalities and enhance endpoint stability, along with better integration with other systems and support for SaaS platforms.
Ease of Deployment and Customer Service: IBM Security QRadar is mostly deployed in on-premises and hybrid cloud environments and provides extensive global support, though support quality can vary. SentinelOne Vigilance offers varied cloud deployment options and has been noted for its generally responsive customer service, although it can be region-specific.
Pricing and ROI: IBM Security QRadar is considered expensive with pricing based on events-per-second, which can become costly but is often justified by its features and scalability. SentinelOne Vigilance offers competitive, generally less expensive pricing, reflecting endpoint device coverage and providing a good cost-value balance. Both solutions could improve licensing flexibility.
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.
I have seen a return on investment; I can share that it includes time saved, money saved, and fewer employees needed.
For the overall return on investment, both time and money, I would say it is a full 20.
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.
I would rate the actual technical support from SentinelOne Vigilance a nine.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
IBM Security QRadar's scalability is great; you can have a new collector to deploy if you have increased EPS per second.
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.
I find it absolutely stable.
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.
Regarding disadvantages of SentinelOne Vigilance, there is no local hub server that I can use to download the updates and signatures only once.
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.
The pricing, licensing, and setup costs in general are quite affordable.
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.
I am actually able to synthesize machine learning with human experience to manage complex threats in IRs.
| Product | Market Share (%) |
|---|---|
| SentinelOne Vigilance | 3.9% |
| IBM Security QRadar | 1.0% |
| Other | 95.1% |

| Company Size | Count |
|---|---|
| Small Business | 91 |
| Midsize Enterprise | 39 |
| Large Enterprise | 105 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
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."
SentinelOne Vigilance offers advanced protection against ransomware and malware through behavior analytics and machine learning, ensuring security with minimal resource usage and potent threat mitigation capabilities.
SentinelOne Vigilance stands out with its active EDR and rollback features, providing robust defense and swift threat response. Its intuitive portal and comprehensive reports enhance user experience. Despite its strengths, some challenges in server compatibility and resource consumption need addressing, while users appreciate its AI-powered incident response and Storyline technology. Improvements in memory forensics, SaaS integrations, and UI control are desired, alongside advanced features like predictive analytics and email monitoring.
What are the key features?In corporate environments, SentinelOne Vigilance is deployed for enhanced security and endpoint management. Organizations replace traditional antivirus solutions to safeguard infrastructure across private cloud, on-premises, and SaaS deployments. It provides offensive and defensive capabilities, facilitating swift incident response and infrastructure protection through advanced detection features and managed SOC and MDR services.
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