Vectra AI and Anomali are competing in the cybersecurity solutions category, specializing in threat detection and response. Vectra AI has advantages in pricing and customer support, while Anomali excels in comprehensive features that justify its higher cost.
Features: Vectra AI uses machine learning for detecting malicious activities and provides strong network security intelligence. Anomali manages threat intelligence efficiently, offering extensive threat feeds and integration capabilities. Anomali has a broader feature set, enhancing detection across varied environments.
Room for Improvement: Vectra AI could enhance its interface for better usability and improve false positive reduction. Its tuning process could be more straightforward. Anomali could streamline its deployment complexity and offer more affordable solutions. Improved accessibility to certain features could enhance user experience.
Ease of Deployment and Customer Service: Vectra AI is known for straightforward deployment and responsive customer service, facilitating seamless integration. Anomali, while providing excellent support, requires more complex deployment due to its feature-rich platform, which may delay integration for some users.
Pricing and ROI: Vectra AI offers cost-effective solutions with lower setup costs, ensuring quicker ROI for immediate results. Anomali, despite a higher initial cost, delivers significant long-term benefits through its rich features and threat intelligence accuracy, making it a solid option for established businesses with comprehensive security needs.
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.
The payback period is roughly six months.
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.
I would rate their technical support a 10, as we have local support in South Africa and the ability to reach out to the teams quickly and effectively when they are in similar time zones, leading to great support globally.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
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.
Vectra AI is scalable because it can work through different kinds of solutions and is compatible with all kinds of cloud solutions.
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.
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.
ExtraHop's ability to decrypt encrypted data is a feature that Vectra AI lacks.
You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end.
All threats, including hacking attempts, should be comprehensively addressed.
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.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
I find the pricing of Vectra AI to be one of the best we have seen as feedback from customers and partners indicates it is very competitive for an EDR solution.
It is very acceptable when you compare it with Darktrace, for example.
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.
Our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats.
Alert noise was dramatically reduced by nearly 80%, allowing SOC analysts to focus more on true threats, which made them more productive and resulted in higher operational efficiency.
There are extensive out-of-box detection capabilities.
| Product | Mindshare (%) |
|---|---|
| Cortex XDR by Palo Alto Networks | 4.6% |
| Anomali | 2.4% |
| Vectra AI | 2.3% |
| Other | 90.7% |


| 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 | 10 |
| Midsize Enterprise | 10 |
| Large Enterprise | 29 |
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.
Vectra AI offers advanced hybrid network and identity security, detecting threats traditional tools miss. It uses AI to identify lateral attacks and credential misuse, providing a proactive defense for enterprises.
Vectra AI enhances security by using AI-driven detection across network, cloud, and identity layers, surpassing EDR and SIEMs by offering real-time threat detection. It ensures continuous observability and automates SOC workflows to minimize manual efforts, creating an efficient security environment. Its AI-powered approach significantly reduces noise, focusing on true threats, and provides insights into complex threat landscapes, with seamless integration into environments like EDR and Office 365.
What are Vectra AI's key features?Vectra AI is utilized across industries for comprehensive network and anomaly detection. Organizations deploy it for threat hunting and incident response, monitoring both on-premises and cloud activities. By placing sensors across sites, they optimize security practices and streamline their detection processes.
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