In the competitive security software category, Vectra AI and Exabeam vie for top positioning. Both have strong capabilities, though Vectra AI stands out for its alert reduction and host detection, while Exabeam is notable for its advanced timeline creation and integration.
Features: Vectra AI enhances threat prioritization through AI and machine learning, reducing alert fatigue and offering insight into the full attack lifecycle. Its risk score aggregation helps focus resources. Exabeam features machine learning and behavioral analytics, excelling in complex threat detection and workflow automation. Vectra AI's standout alert reduction and host detection, complemented by Exabeam's superior timeline creation and cloud service integration, highlight their key strengths.
Room for Improvement: Vectra AI could benefit from improved integrations and detection rule flexibility and needs to address false positive reduction. Issues with licensing models and feature costs are noted. Exabeam is encouraged to improve dashboard customization and adaptive rule features, alongside better API interactions. Both could streamline integrations and minimize false positives for enhanced user satisfaction.
Ease of Deployment and Customer Service: Vectra AI supports diverse deployment modes (on-premises, hybrid, public cloud) and is praised for its responsive customer support. Exabeam offers similar deployment options, with specific attention required in API performance. Vectra AI is noted for exceptional customer interaction and recognizing user feature enhancement requests. Both are well-regarded for technical support, but Vectra AI stands out for proactive customer service.
Pricing and ROI: Vectra AI is associated with higher pricing, yet its comprehensive features may justify the cost for larger organizations. Its complex licensing model suggests a need for simplification. Exabeam offers a more affordable and flexible pricing structure, appealing to budget-conscious organizations. Both deliver efficiency improvements, with Vectra AI noted for its security workload impact, while Exabeam provides more accessible pricing options.
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.
Exabeam offers more machine learning models that detect anomalies.
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.
Even with TAM support from Exabeam, many issues go unresolved.
I also had the chance to look at the documentation, and the documentation is good.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
Customer support receives a rating of nine out of ten due to being very supportive and responding quite efficiently.
You can onboard 10,000 endpoints in just hours, which demonstrates the excellent scalability of this product.
Cortex XDR by Palo Alto Networks can be expanded anytime by purchasing another license without any issues related to scalability.
I think scalability for Cortex XDR by Palo Alto Networks is good.
Regarding Exabeam's scalability and how well it adapts to its customers' needs, I would rate it an eight.
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.
These problems were not frequent, and the last six to eight months have been stable.
Overall, I think Exabeam's stability level is good.
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.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
I have explored the SaaS version; it offers many new features.
Exabeam's integration capabilities are not good, as Exabeam has a very limited number of integrations and no out-of-box integration.
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.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
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.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
The product offers useful features like the dashboard, timeline, and session views, which enhance our security tools.
Exabeam's UEBA is the most valuable feature that I have found so far.
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 | 9.9% |
| Vectra AI | 9.5% |
| Exabeam | 3.6% |
| Other | 77.0% |

| Company Size | Count |
|---|---|
| Small Business | 44 |
| Midsize Enterprise | 20 |
| Large Enterprise | 47 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| 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.
Exabeam Fusion is a cloud-delivered solution that that enables you to:
-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease
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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