


Fidelis Elevate and Vectra AI are prominent players in the cybersecurity industry. Vectra AI appears to have the upper hand with its advanced features that justify the cost, despite Fidelis Elevate being preferred for its pricing and support.
Features: Fidelis Elevate emphasizes robust network protection, seamless integration capabilities, and cost-effectiveness, which many users cite as beneficial. Vectra AI, on the other hand, is known for its advanced threat detection, comprehensive AI functionalities, and deeper threat analysis that many users find to be more encompassing.
Room for Improvement: Fidelis Elevate needs to address issues related to scalability, complex configuration, and usability improvements. Users report more critical issues with these aspects compared to Vectra AI. Vectra AI faces challenges with reporting, analytics gaps, and requires some refinements, though users note these as less concerning than those of Fidelis Elevate.
Ease of Deployment and Customer Service: Fidelis Elevate provides a straightforward deployment process, though some users mention a steep learning curve. It offers positive customer service experiences. Vectra AI requires expert handling for deployment, but its responsive support is frequently praised. Fidelis is viewed as having more accessible deployment, whereas Vectra AI advantages come post-deployment.
Pricing and ROI: Fidelis Elevate is noted for its lower setup costs, offering a compelling ROI, especially for budget-conscious users. Vectra AI, though priced higher, delivers significant value due to its extensive security features, suggesting a worthwhile ROI. Users perceive Fidelis as more budget-friendly, while Vectra AI is considered to provide better long-term value.
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.
I have seen a return on investment with Cortex XDR by Palo Alto Networks, as this product is offered at a minimal cost, and we can find a good ROI from it.
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.
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.
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.
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.
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.
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.


| Company Size | Count |
|---|---|
| Small Business | 44 |
| Midsize Enterprise | 20 |
| Large Enterprise | 47 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 2 |
| 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.
Fidelis Elevate integrates network visibility, data loss prevention, deception, and endpoint detection and response into one unified solution. Now your security team can focus on the most urgent threats and protect sensitive data rather than spending time validating and triaging thousands of alerts.
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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