


IBM Security QRadar and Anomali compete in the cybersecurity category, focusing on security operations and threat intelligence, respectively. IBM QRadar has the upper hand in comprehensive security operations, while Anomali excels in streamlined threat intelligence integration.
Features: IBM Security QRadar offers integration with diverse security tools, real-time alerting through data correlation, and User Behavior Analytics covering various logs. Its Watson integration provides robust threat protection and flexibility for scaling from SMBs to large enterprises. Anomali's key features include threat modeling capability, automation of playbooks, integration with multiple data sources, and context-rich threat intelligence, alongside its threat intelligence and CIDR block capabilities.
Room for Improvement: IBM Security QRadar needs smoother upgrades, better integration capabilities, and enhanced user customization. Improvements in outdated technology and seamless deployment across platforms are also crucial. Anomali could refine intelligence sharing within its community, improve tagging systems, and expand integration capabilities to reduce complexities. QRadar requires modernization in traditional SIEM functions, whereas Anomali needs to enhance connectivity and intuitive functionality.
Ease of Deployment and Customer Service: IBM Security QRadar is adaptable across on-premises, cloud, and hybrid setups, although it requires expertise during deployment but benefits from strong IBM technical support. Customer service varies by region, with some regions experiencing slower responses. Anomali focuses on cloud environments with a modern deployment process and receives positive ratings for customer service, though it could improve in community-driven updates and integration support.
Pricing and ROI: IBM Security QRadar is known for being expensive, with pricing based on events per second and licensing structure, yet provides high ROI through comprehensive security operations. Anomali's pricing is medium to high, offering reasonable ROI by enhancing threat intelligence capabilities, although additional threat feeds can be costly. QRadar justifies its cost through robust security features, while Anomali balances investment with streamlined threat intelligence processes.
They appreciate the rich telemetry data from the solution, as it provides in-depth threat identification.
Cortex XDR by Palo Alto Networks helps to reduce my total cost of ownership significantly.
In Cortex XDR by Palo Alto Networks, most of the remediation is automated and the accuracy is quite good.
Analyst productivity has improved significantly, with hours saved because of automation and AI-driven work that Anomali performs.
Anomali provides us with a very cost-effective value compared to the market, and I would rate it ten out of ten for return on investment metrics.
There is a return on investment concerning time and effort saved by 40% after implementing Anomali.
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.
Investing this amount was very much worth it for my organization.
The technical support from Palo Alto deserves a mark of ten because they reach out within an hour whenever assistance is needed.
There is no back and forth, and they know what we are asking for and come up with the best resolution for a solution.
If any of these services are missed, it becomes a problem in terms of support tickets, follow-up, or special configuration that needs to be done in the system.
They have strong onboarding and deployment assistance, provide a dedicated technical account manager for large customers, and engage in regular product updates and customer interaction.
The technical support at Anomali is excellent.
It doesn't seem very professional how they're handling support anymore.
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.
You can onboard 10,000 endpoints in just hours, which demonstrates the excellent scalability of this product.
Activating the newly purchased licenses is instantaneous, allowing installations without adjustments since it's cloud-based.
Cortex XDR by Palo Alto Networks can be expanded anytime by purchasing another license without any issues related to scalability.
The scalability is massive, allowing us to store millions of indicators.
I believe Anomali's scalability is good; whether it is an organization for ten people or one hundred thousand people, the job a threat intel platform has to do will be the same.
Anomali's scalability is impressive as a mature platform capable of processing large amounts of threat intelligence and indicators of compromise data.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
Cortex remains fast and responsive, even with increasing data and alerts.
The thresholds we've seen on our firewall boxes at some instances reached 80% to 85%, but even at that level of utilization, we don't observe any latency or any issues reported with respect to accessing the application.
Cortex XDR is stable, offering high quality and reliable performance.
From a reliability perspective, Anomali consistently injects threat feeds, works on automation, performs reliable API integrations, and supports enterprise scale globally.
For example, while Microsoft allows ample time for users to adapt to deprecated features, Anomali only gave us three weeks before switching, so they need to be more cognizant of customer use cases from their engineering side.
The good thing is that they have a health check page, and if any issues arise, they notify us.
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.
Improving reporting and dashboard customization, along with the addition of real-time and exportable reports, would help SOC teams greatly.
The inclusion of this feature would allow the application of DLP policies alongside antivirus policies via a single agent and console, making it more competitive as other OEMs often offer DLP solutions as part of their antivirus products.
If the per GB data could be provided at a certain level free of cost or at the same cost which the customer is taking for the entire bundle, that would be better.
Combining all aliases into a coherent solution would be beneficial, as we had to review each individual source ourselves.
Anomali should increase their capability to fetch details from various dark web solutions where threat actors post compromised credentials.
Anomali's ability to correlate and integrate different Threat Intel platforms, such as Mandiant and PolySwarm, is another valuable feature, removing duplicacy and enabling the application of specific IOCs across various security controls.
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 pricing on SentinelOne is far more reasonable and cheaper than Cortex XDR by Palo Alto Networks.
I would say it is definitely not a cheap product, considering how mature it is and how scalable all Palo Alto products are together.
Cortex XDR is perceived as expensive by some customers, yet offers dynamic pricing.
Pricing and licensing are good, but the costs for purchasing threat feeds are somewhat complicated and a bit on the higher side.
My experience with pricing, setup cost, and licensing is that there are not many follow-ups, but once we interacted with the product team or the leadership of Anomali, they managed a lot with us, and it all paid off to reach a conclusion that we would continue with this product.
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.
It incorporates AI for normal behavior detection, distinguishing unusual operations.
The product provides automation responses in case of a threat attack, severity assessments, centralized manageability, and comprehensive compliance features, resulting in reduced costs.
It includes machine learning to easily analyze data and detect complex threats across endpoints, networks, or clouds.
Regarding integration, Anomali has capabilities to integrate with different downstream applications such as Palo Alto, allowing us to create playbooks to block domains, URLs, or IPs directly within the firewall.
Correlating IOCs with the telemetry data we are ingesting from our data sources allows us to pull monthly reports identifying how many assets and users interacted with malicious content, giving insight into whether communications failed or users accessed restricted content, providing complete visibility of the IOCs traveling throughout our environment.
It aggregates intelligence from hundreds of sources, automatically de-duplicates, applies risk scoring, applies context, and reduces much manual effort.
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.



| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 52 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 92 |
| Midsize Enterprise | 39 |
| Large Enterprise | 107 |
Cortex XDR by Palo Alto Networks provides advanced threat detection with AI-driven endpoint protection and seamless integration, ensuring multi-layered security and automatic threat response.
Cortex XDR is designed to safeguard endpoints against malware and suspicious activities. It offers advanced threat detection and response capabilities using behavioral analysis, AI, and machine learning. It seamlessly integrates with security infrastructures, providing endpoint security, firewall integration, and enhanced visibility in both cloud-based and on-premises environments.
What are the key features of Cortex XDR?Organizations in diverse sectors deploy Cortex XDR to protect against malware, leveraging its advanced threat detection capabilities. Its integration with existing security infrastructures appeals to those seeking comprehensive protection in both cloud and on-premises environments, providing enhanced visibility and threat intelligence.
Anomali delivers user-friendly cyber threat intelligence, offering concise insights with robust capabilities for evolving scenarios.
Anomali offers a powerful platform for cyber threat intelligence, allowing organizations to efficiently stream and analyze threat feeds. It excels in threat modeling, prioritizing intelligence, and supporting large-scale automation through its API, fostering a proactive security approach.
What are Anomali's Key Features?Anomali serves as a crucial tool for threat intelligence in industries ranging from finance to healthcare. Organizations stream threat feeds into Anomali to correlate and aggregate data, enhancing security measures and facilitating thorough threat investigations. Its adaptability makes it suitable across different sectors.
IBM Security QRadar offers real-time threat detection, data correlation, and integration with third-party solutions, providing a user-friendly interface, scalability, and extensive reporting capabilities for SIEM needs.
IBM Security QRadar is designed for comprehensive security monitoring in diverse environments, aiding sectors like telecom and finance with advanced threat detection and breach management. It aggregates data and analyzes user behavior, while its customizable and out-of-the-box rules deliver robust security insights and vulnerability management. The platform seeks enhancements in integration, performance, and user interface, with a focus on AI and cloud service compatibility.
What are the most important features of IBM Security QRadar?Telecom, finance, and cloud-based industries implement IBM Security QRadar for threat detection, compliance, and security monitoring. It is deployed for log collection and correlation, user behavior analytics, and ensuring secure data transfer and incident management, focusing on compliance and anomaly detection.
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