


Vectra AI and Elastic Security compete in the advanced cybersecurity solutions category, offering unique features and advantages. Vectra AI has the upper hand in threat detection and response due to its comprehensive features, whereas Elastic Security is favored for its wide range of integrations and adaptability.
Features: Vectra AI includes advanced threat detection, insider threat identification, and lateral movement monitoring. Elastic Security offers extensive integration options, data analysis flexibility, and high scalability.
Room for Improvement: Vectra AI could enhance analytics reporting, integration capabilities, and data interface flexibility. Elastic Security users suggest a less steep learning curve, easier configuration, and better documentation.
Ease of Deployment and Customer Service: Vectra AI is noted for straightforward deployment and responsive customer service. Elastic Security's extensive integrations make deployment challenging but efficient after setup, with customer support being attentive yet sometimes slower compared to Vectra AI.
Pricing and ROI: Vectra AI's pricing aligns with its specialized features, providing justified costs. Elastic Security offers competitive pricing attractive for organizations seeking a versatile platform, with a longer ROI period due to initial setup and training requirements.
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.
It does not require hefty security budgets and can be deployed for enterprise security effectively.
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.
Support is prompt and helpful.
Most of the time when my team encounters issues, they receive responses within 24 hours.
I have not faced any difficulties with Elastic Security, as we have a pretty good support service from them.
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.
It allows us to think about specific use cases, such as gathering malicious IPs in a single view and analyzing threats based on geolocation.
Elastic Security is quite scalable.
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.
In terms of stability, I would rate Elastic a solid eight out of ten.
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.
CrowdStrike and Defender have more established threat intelligence integration due to having a larger client base.
My security testing team continuously reports vulnerabilities, and we have to fix and update the versions frequently.
Machine learning algorithms become better with time; as they ingest a huge volume of data, they become 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.
The pricing is reasonable, especially for Small Medium Enterprises (SMEs), making it a viable option for businesses building their security infrastructure.
This is beneficial for SMEs as they do not need extensive budgets for security solutions.
Elastic Security is considered cost-effective, especially at lower EPS levels.
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.
Elastic Security offers good insight regarding alerts, reports, and cases.
Elastic Security offers advanced features such as machine learning and integration with ChatGPT.
We require rapid processing speed for alerts and event data, and Elastic Security is very efficient at handling this level of data.
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 | 4.9% |
| Elastic Security | 3.7% |
| Vectra AI | 2.8% |
| Other | 88.6% |


| Company Size | Count |
|---|---|
| Small Business | 44 |
| Midsize Enterprise | 20 |
| Large Enterprise | 47 |
| Company Size | Count |
|---|---|
| Small Business | 40 |
| Midsize Enterprise | 11 |
| Large Enterprise | 15 |
| 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.
Elastic Security combines the features of a security information and event management (SIEM) system with endpoint protection, allowing organizations to detect, investigate, and respond to threats in real time. This unified approach helps reduce complexity and improve the efficiency of security operations.
Additional offerings and benefits:
Finally, Elastic Security benefits from a global community of users who contribute to its threat intelligence, helping to enhance its detection capabilities. This collaborative approach ensures that the solution remains on the cutting edge of cybersecurity, with up-to-date information on the latest threats and vulnerabilities.
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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