IBM Security QRadar and SentinelOne Vigilance offer advanced solutions in the cybersecurity sector, specifically competing in security monitoring and endpoint protection. SentinelOne Vigilance seems to have the upper hand in endpoint protection due to its AI-driven threat detection and automated response capabilities, whereas QRadar specializes in comprehensive threat detection across broader security landscapes.
Features: IBM Security QRadar stands out with its log management and SIEM capabilities, allowing for seamless data extraction and correlation. It offers scalability and is noted for its comprehensive threat detection. SentinelOne Vigilance impresses with advanced behavioral analytics, AI-driven threat detection, and endpoint recovery functions, providing effective automated threat response and rollback features.
Room for Improvement: IBM Security QRadar needs a better user interface, more consistent API integration, and improvements in support services. Users also seek better visualization options and user behavior analytics. SentinelOne Vigilance could improve its dashboard usability and enhance SaaS platform integrations. Issues with stable performance and reducing false positives have been noted.
Ease of Deployment and Customer Service: IBM Security QRadar offers versatile deployment options, including on-premises, hybrid, and public cloud, though feedback on technical support varies. SentinelOne Vigilance is recognized for straightforward public cloud and hybrid deployments and generally receives favorable views on customer service, though better integration assistance is desired.
Pricing and ROI: IBM Security QRadar is viewed as a premium investment, potentially costly for smaller enterprises but justified by its robust features for long-term ROI. SentinelOne Vigilance is competitively priced with its advanced features, offering good value and strong ROI through effective threat mitigation, making it more affordable compared to other next-gen solutions.
With SOAR, the workflow takes one minute or less to complete the analysis.
Investing this amount was very much worth it for my organization.
For the overall return on investment, both time and money, I would say it is a full 20.
This process can result in outages lasting three to four 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 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.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
I find it absolutely stable.
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.
This would help identify critical or high-priority alarms in QRadar.
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.
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.
We have FortiSOAR and IBM Resilient for IBM Security QRadar orchestration.
IBM is seeking information about IBM QRadar because a part of QRadar, especially in the cloud, has been sold to Palo Alto.
I am actually able to synthesize machine learning with human experience to manage complex threats in IRs.
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 provides reliable endpoint security with features like behavior analytics and ransomware protection, offering organizations capabilities such as third-party management and effective malware detection while maintaining low resource usage and kernel-independent operations.
SentinelOne Vigilance stands out by offering robust endpoint protection, utilizing machine learning and Storyline technology to enhance malware detection and prevention. Its rollback capabilities, impressive scalability, ease of use, and comprehensive analytics are consistently acknowledged. Monthly reports offer insightful analytics, and its 100% ransomware recovery commitment adds assurance. However, areas for improvement include better integration with Microsoft Windows, SIEM, and SOAR solutions, along with enhanced dashboard control and memory forensics.
What features make SentinelOne Vigilance effective?SentinelOne Vigilance is widely implemented within industries for endpoint protection and malware detection in environments like private clouds and on-premises, aiding ransomware prevention and integration with SOC teams. Businesses across sectors rely on it to protect infrastructure and manage endpoint activities effectively.
We monitor all Managed Detection and Response (MDR) 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.
