IBM Security QRadar and SentinelOne Singularity Complete compete in the security and endpoint protection market. While both have distinct strengths, IBM Security QRadar stands out in environments needing flawless integration with existing infrastructure, whereas SentinelOne excels in AI-driven automation for threat detection on endpoints.
Features: IBM Security QRadar is a robust platform that focuses on extracting and analyzing raw logs and events, excelling in compliance and scalability. It's well-regarded for its ease of use and seamless integration with existing infrastructures. SentinelOne Singularity Complete is renowned for its endpoint detection and response capabilities, utilizing AI-driven automation to identify and react to threats, providing strong protection against malware and ransomware.
Room for Improvement: IBM Security QRadar could enhance its incident management by refining alert handling and simplifying the user interface for better access. Its analytics could be improved to offer real-time insights. SentinelOne Singularity Complete could improve its integration capabilities with third-party solutions, better manage false positives, and expand endpoint network functionality to simplify administration. Users desire more comprehensive reporting and enhanced automated deployment and patch management.
Ease of Deployment and Customer Service: IBM Security QRadar primarily offers on-premises deployment, catering to various infrastructures, and receives varying feedback on customer support. In contrast, SentinelOne Singularity Complete provides versatile deployment options, including cloud-based solutions, facilitating easier adoption and praised for a user-friendly interface and effective support, despite some challenges in complex integrations.
Pricing and ROI: IBM Security QRadar is often seen as expensive, especially for smaller enterprises, but offers strong security features justifying the cost for larger organizations. Its EPS-based pricing offers some flexibility yet remains high. SentinelOne Singularity Complete is competitively priced compared to competitors and is valued for its robust protection features. Though potentially costly for small businesses, its low maintenance and efficient threat mitigation justify the investment. Both are considered to provide reasonable ROI, with IBM favored for compliance and SentinelOne for endpoint security.
With SOAR, the workflow takes one minute or less to complete the analysis.
Investing this amount was very much worth it for my organization.
Since then, I have not faced any intrusions, which is one reason I chose SentinelOne over ESET.
We have not faced any attacks since we implemented it.
It has absolutely helped reduce our organizational risk.
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 problem escalates through level one to level three, and then the process starts over with Novo again.
They do a great job of figuring out the problem and pointing you to generic documentation or working with you to fine-tune a solution.
We are using the automated email process for support, and they respond within an hour or two hours sometimes.
A chat service would be beneficial.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
It's all auto-scale and auto-categorized, configuring automatically.
The tool's built-in automation for deploying the agents works well for large infrastructures like mine.
My deployment is relatively small, and SentinelOne Singularity Complete works within those constraints.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
It has caused problems with interoperability between third-party tools, which could lead to entire servers crashing or specific tools failing.
This indicates room for improvement in stability when interacting with other solutions.
Initially, there were issues, particularly on the management side, but now the console is much more 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.
The only thing that prevented the attack from succeeding was a free version of Malwarebytes.
Providing a single pane of visibility for the end user would be beneficial.
It's challenging to prevent a user from manipulating their privileges or someone else's of others, and it's difficult to control what users can access at the organizational level.
Splunk is more expensive than IBM Security QRadar.
If you want protection, you have to pay the price.
They counted many of the instances and licenses as duplicates despite them only being alive once, which was frustrating.
It’s cheaper than other competitors.
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.
I have an advanced app providing visibility of all my endpoints, which was not the case before.
SentinelOne has a feature to decommission automatically, which has been fantastic.
There's also automation that gives my team free time, preventing them from having to look for every alert.
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 Singularity Complete provides AI-driven threat detection and response with features like ransomware protection and rollback, offering endpoint protection with minimal system impact and deep forensic analysis.
SentinelOne Singularity Complete combines machine learning and artificial intelligence to offer robust endpoint protection. It delivers real-time insights and advanced threat detection through seamless integration with third-party tools, allowing for efficient endpoint management. With an emphasis on user-friendliness, it ensures reduced false positives. Room for improvement includes better integration options, enhanced reporting, and more precise analytics to tackle false positives. Users seek improved interoperability with systems and comprehensive support for legacy systems.
What are the key features of SentinelOne Singularity Complete?Organizations from industries like finance, healthcare, and technology deploy SentinelOne Singularity Complete to safeguard endpoints such as PCs, servers, and virtual machines. Equipped with EDR, it effectively replaces traditional antivirus systems and integrates with cloud technology for real-time security insights.
We monitor all Endpoint Detection and Response (EDR) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
