IBM Security QRadar and OpenText Behavioral Signals compete in cybersecurity. IBM Security QRadar has an edge in detection and integration, whereas OpenText Behavioral Signals offers innovative technology and flexibility.
Features: IBM Security QRadar provides robust threat detection, comprehensive log management, and diverse security tool integration. OpenText Behavioral Signals offers advanced behavioral analytics, real-time insights, and predictive capabilities, focusing on human behavior analysis.
Room for Improvement: IBM Security QRadar can improve by streamlining deployment processes, enhancing user interface customization, and reducing compatibility issues. OpenText Behavioral Signals could benefit from expanding third-party integration options, refining predictive analytics for accuracy, and enhancing real-time monitoring features.
Ease of Deployment and Customer Service: IBM Security QRadar requires a complex deployment process but offers comprehensive documentation and support. OpenText Behavioral Signals provides a more straightforward onboarding process with customer-centric support, focusing on ease of use.
Pricing and ROI: IBM Security QRadar entails higher setup costs but promises long-term ROI through its feature set and integration. OpenText Behavioral Signals offers a lower initial investment and rapid ROI due to targeted analytics and operational efficiencies.
With SOAR, the workflow takes one minute or less to complete the analysis.
Investing this amount was very much worth it for my organization.
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.
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.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
The product has been stable so far.
I think QRadar is stable and currently satisfies my needs.
We receive logs from different types of devices and need a way to correlate them effectively.
IBM Security QRadar does not support Canvas, so we had to create custom scripts and workarounds to pull logs from Canvas.
If AI-related support can suggest rules and integrate with existing security devices like MD, IPS, this SIM can create more relevant rules.
Splunk is more expensive than IBM Security QRadar.
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.
I would assess IBM Security QRadar's AI and machine learning capabilities as very helpful for threat detection and response.
| Product | Market Share (%) |
|---|---|
| IBM Security QRadar | 7.2% |
| OpenText Behavioral Signals | 0.4% |
| Other | 92.4% |
| Company Size | Count |
|---|---|
| Small Business | 88 |
| Midsize Enterprise | 36 |
| Large Enterprise | 102 |
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."
OpenText Behavioral Signals enhances organizational security monitoring with its robust correlation engine and streamlined dashboard, offering customization to suit different environments like airports or banks.
OpenText Behavioral Signals effectively integrates device logs through its strong correlation engine. The platform's customization options enable tailored alerts to match specific use cases, such as airports or banks. Although it needs more frequent updates to stay aligned with global incidents, it provides a centralized dashboard that ensures comprehensive visibility across networks. Users find the interface intuitive, making rule writing and report access easy, aiding in a comprehensive understanding of the network environment.
What are the key features of OpenText Behavioral Signals?In industries like banking and airports, OpenText Behavioral Signals is implemented for gathering global intelligence from the cloud. It notifies organizations about global attacks and updates its correlation engines. These industries utilize the platform for monitoring and analyzing logs from network devices, security log management, and addressing network challenges like link failures and unauthorized login attempts, ensuring better security posture with behavioral analytics and log integration using Unix and Microsoft-based connectors.
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