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    Cortex Internal Developer Portal

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    Sold by: Cortex 
    Cortex gives organizations visibility into the status and quality of their microservices and helps teams drive adoption of best practices so they can deliver higher quality software.
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    Overview

    Cortex's platform enables engineering teams to drive adoption of developer best practices. Cortex provides a single-pane-of-glass to organize critical information about microservices like ownership, documentation, and dependencies, replacing the "tribal knowledge" and spreadsheets teams rely on today. The platform gives engineering organizations visibility into areas of risk within their teams and architecture, allowing leadership to prioritize and drive initiatives that will strengthen adoption of microservices best practices. By following these practices, teams are able to take full advantage of the architectural advantages of microservices and deliver the reliable, innovative, and secure software that powers the world.

    Cortex provides custom packages for every phase towards engineering excellence. Please contact AWS-Marketplace@cortex.io  for a demo of Cortex, Private Offer, or additional pricing options.

    Highlights

    • Simple, straightforward setup to create a centralized "mission-control" for your developers
    • Cortex Case Studies & Customers: https://www.cortex.io/case-studies
    • Cortex Integrations: https://www.cortex.io/integrations

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    Pricing

    Cortex Internal Developer Portal

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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    12-month contract (2)

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    Dimension
    Description
    Cost/12 months
    Cortex Accelerate Full IDP Users
    100 users SaaS Hosted
    $45,000.00
    Depreciated SKU
    Depreciated SKU
    $100,000.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/user/hour
    Overage Fees
    $1.00

    Vendor refund policy

    N/A

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    Delivery details

    Software as a Service (SaaS)

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    Vendor support

    Please refer to Cortex Documentation, your company Slack channel with our team, or your Sales & Customer Success points of contacts for additional support. For any additional troubleshooting please contact help@cortex.io .

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    By Spotify for Backstage (Spotify AB)

    Accolades

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    Top
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    Top
    10
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    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
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    Ease of use
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    Overview

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    AI generated from product descriptions
    Service Discovery
    Centralized platform for organizing critical microservices information including ownership, documentation, and dependencies
    Architecture Visibility
    Single-pane-of-glass view for engineering organizations to identify risks and architectural insights
    Best Practices Tracking
    Mechanism to drive and monitor adoption of developer best practices across microservices ecosystem
    Microservices Management
    Platform enabling comprehensive tracking and management of microservices across engineering teams
    Integration Capabilities
    Supports integration with multiple tools and systems for comprehensive microservices ecosystem monitoring
    Engineering Analytics
    Advanced platform for analyzing engineering signals and contextual business data
    Performance Tracking
    Comprehensive monitoring and measurement of engineering efforts and resource allocation
    Operational Optimization
    Continuous improvement mechanism for engineering processes and delivery workflows
    Strategic Alignment
    Capability to correlate engineering work with strategic business objectives
    Project Progress Monitoring
    Real-time tracking and communication of engineering project status and deliverables
    Plugin Management
    "Provides a comprehensive bundle of productivity-boosting plugins for internal developer portals built on Backstage framework"
    Access Control
    "Implements role-based access control mechanism to manage and control user permissions and actions within the developer portal"
    Software Quality Assessment
    "Enables automated tech health evaluation through codified checks and guidance for software development standards"
    Developer Insights
    "Offers usage trend analysis and benchmarking capabilities to track and understand developer portal adoption"
    Skill Ecosystem
    "Facilitates internal knowledge sharing and learning opportunities through a marketplace for skill exchange and growth"

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    4
    7 ratings
    5 star
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    1 star
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    71%
    29%
    0%
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    2 AWS reviews
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    5 external reviews
    External reviews are from PeerSpot .
    SUNNY-KUMAR

    Automated incident workflows have reduced manual triage while reporting and playbooks still need refinement

    Reviewed on Dec 04, 2025
    Review from a verified AWS customer

    What is our primary use case?

    I have used Cortex for more than I worked in Cortex. I have around 2.1 years of experience using Cortex XDR , but currently, I am using Cortex.

    My main use case for Cortex is to prepare the chart flow of the main Cortex XDR . In Cortex XDR , we have to alert for our auto-triaging and repetitive tasks, and we use it for triage automatically. We use it for CTI Cyber Threat Intelligence enrichment, such as IP, URL, and IOCs, automatically. It also has reputation checks using VirusTotal , abuse.ch, and others for the purpose of the uses in Cortex XDR . It also includes playbook automation. For example, Cortex has many playbooks for phishing, malware, infection, ransomware, and lateral movement. These playbooks automatically conduct the entire investigation and response. In case management, it stores details, timelines, evidence, and others for easier incident tracking. From the SOC perspective, we have to reduce false positive cases, and it reduces duplicate alerts, allowing our SOC analyst to respond faster. On the other hand, for the use of the EDR, Cortex provides detection behavior, attack prevention, and can always identify file-less and memory-based attacks and UEBA  normally.

    An additional point I need to add in Cortex XDR is manual commands during the investigation, such as Cortex war room commands, IP reputation checks, hash look analysis, and endpoint isolation. These help us to conduct a faster investigation. Additionally, we need to create and modify playbooks according to the organization and the needs of the organization's use cases, for example, auto-disabling a user in case of a suspicious login, auto-quarantining an endpoint with malware, and an auto-phishing and investigation workflow. We use Cortex for reporting to generate incident summary reports, post-incident reviews, and RCA documentation. We integrate it with tools such as SIEM , EDR, firewall, email security, web, and others for alert correlation.

    What is most valuable?

    The best features of Cortex are automated incident response, playbook automation, cyber threat intelligence, and management. It includes case and incident management, such as incident details, evidence, timelines, and using the dashboard. There is a war room for investigation and to consume alert correlation rules to reduce noise and false positives. It has over 700 integrations. It works with SIEM , EDR, firewall, email security, the cloud environment, and many others. Additionally, it has endpoint detections, behavior analytic UEBA , and machine learning-based detection using ML modules to detect advanced threats. There's a centralized data lake and customized dashboard reports.

    I find automation through the playbook to be the most valuable feature I use day-to-day. Playbooks save analyst time. If used for Cortex, it saves the analyst's time with a reduction in false positives. For IOC enrichment, we utilize MTDR, mean time to respond, to resolve incidents faster.

    I notice a positive impact since using Cortex. We experience a faster, quicker response. Regarding positive changes, if we have a short positive, we investigate the IP, URL, VirusTotal , and abuse.ch. We use XDR, and it's fast and reliable with no human error. It automatically works to reduce the workload of the SOC analyst, thus decreasing manual work.

    What needs improvement?

    There are no other improvements Cortex needs in my opinion.

    For how long have I used the solution?

    I have around 2.1 years of experience using Cortex XDR, but currently, I am using Cortex.

    What do I think about the stability of the solution?

    Cortex is stable in my experience.

    What do I think about the scalability of the solution?

    Cortex has good scalability and can handle growth and increased workloads well.

    How are customer service and support?

    The customer support from Cortex is very good and very useful.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    I did not use a different solution before.

    How was the initial setup?

    My experience with pricing, setup cost, and licensing is that it is high, but it is better for the SOC environment and for the users.

    What was our ROI?

    I notice time saving as a return on investment.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing is that it is high, but it is better for the SOC environment and for the users.

    Which other solutions did I evaluate?

    Before choosing Cortex, we looked at different platforms for automation and chose one after reviewing which one was performing higher in the market, apart from Cortex.

    What other advice do I have?

    My advice for others looking into using Cortex is that it is very easy to use and very useful for the customer environment, whether it's a public or private one. It is extremely helpful from a SOC perspective, requiring very little time to manage situations, especially during integration, which is necessary. Cortex is very useful and cost-effective, in addition to being very easy to use.

    My company has a business relationship with the Cortex vendor for business purposes.

    I would rate this product a 7 out of 10.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Tushar Nimkar

    Power management workflows have become more efficient and support modem and memory use cases effectively

    Reviewed on Nov 27, 2025
    Review provided by PeerSpot

    What is our primary use case?

    My main use cases for Cortex include power management-related IPs and modem IPs. For the power management IPs and low-power mode of the CPUs, I use Cortex Arm-based 73, and for the A7-based Cortex as well, which are 32-bit processors for modem IPs. Primarily, both are for power management-related purposes, and they have their own constraints, such as A7 and the A73.

    I also use Cortex for the SMMU-related and IMMU-related purposes, and I am basically trying to use the cache-related CCI functionality as well on Cortex.

    What is most valuable?

    Considering what I have worked on, I feel the power management it offers, the sequence, and the features from my past experience look good to me. The latency part while going from low power mode and coming back also offers very good latencies. Definitely, those are calibrated and can be tuned, but those are the features I feel offer great value.

    I typically tune or calibrate the latency based on how I use Cortex, and it entirely depends on the chip maker or how the driver stack on top of that is structured. It varies, and it is probably proprietary how they can tune Cortex to get optimal use of it.

    Cortex has impacted my organization very positively, and I am seeing good results as well. It is good and practical to use Cortex.

    What needs improvement?

    There could be many things that can be hardened in Cortex. There is definitely scope to get them hardened into Cortex itself instead of having them on the driver stack. This could be a point of improvement.

    For how long have I used the solution?

    I have been using Cortex for roughly around seven to eight years.

    What do I think about the stability of the solution?

    Cortex looks quite stable, and there are many releases coming in to fix any instability.

    What do I think about the scalability of the solution?

    Cortex's scalability is quite good.

    How are customer service and support?

    The customer support for Cortex is very good.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    In this decade, I did not see the past solutions, but prior to that, there were different families. It is not the case that I switched because of performance issues; it has been long that people are using Cortex, and they might not want to switch. There were some families as well, such as Extensa, or some chipsets belonging to maybe NCC cores, but I cannot share those insights.

    What other advice do I have?

    I would advise others looking into using Cortex that it is good to use. If you are planning to have it for a major product over a long period, you should definitely study it along with the existing parameters you could gather. You can do a minimal level check and then decide whether to go for Cortex or a different option. That is what I suggest.

    I am not in a position for the vendor to contact me for any questions or details. I think it would not be right for them to contact me; rather, they can directly reach out to an authorized person for Cortex to get more insights.

    I find this interview very good, but I suggest changing the focus of questions towards the vendor instead of what the reviewer is conveying, so that vendors get proper requirements from feedback persons instead of deep diving into feedback statements. A set of questions towards vendor requirements is what I would suggest.

    My review rating for Cortex is 8.

    Surya Kumar Gedala

    Automation has transformed incident response workflows through faster playbook execution and threat investigation

    Reviewed on Nov 09, 2025
    Review from a verified AWS customer

    What is our primary use case?

    I have been using Cortex for my internship at Palo Alto, where I have used Cortex XDR  and Snort tools to detect endpoint and endpoint detection. I have also used similar tools like threat intelligence management to analyze the alerts and suspicious activities. Cortex is the best tool for endpoint detection.

    I have used Cortex in a specific scenario where there are certain types of threat intelligence management features. I have used it to verify hashes or domains to identify malicious activity. I also use Cortex XSOAR  and Xnor to trigger playbooks that automate and gather endpoint logs, block malicious processes, and update incident tickets, showcasing end-to-end processes with automation in investigation and reducing the analysis workflow.

    I have used Cortex for my internship and afterward in certain projects where I'm working with my college. In those projects, I have been using Cortex for automation through playbooks and using intelligence to prioritize the incidents. I have also practiced to understand the incident lifecycle management from detection to containment.

    Cortex is deployed in my organization as part of a hybrid cloud setup, where Cortex XDR  and Xnor components are primarily cloud-hosted by Palo Alto Networks. This arrangement allows for easier management and updates while integrating sensitive data sources with our on-premises systems for security and compliance reasons. The hybrid approach balances the scalability and availability of the cloud while maintaining control and data security with on-premises infrastructure.

    What is most valuable?

    The best features Cortex offers in my experience include its capability for detection and investigation, along with several types of threat intelligence management. It includes machine learning to easily analyze data and detect complex threats across endpoints, networks, or clouds. In playbooks, automation handles responding actions such as isolating endpoints or enriching IOCs, along with reducing mean time to detect and mean time to respond. I have used this for my SOC operations environment, discussing it with my college.

    Automation and playbooks have helped me significantly. If there is a threat, detecting it used to be a lengthy process. Now, with the advancement in technology, Cortex Xnor's playbooks predefine the workflow of the automation, such as response processes, alert triggering, and enriching the context. These automations collect relevant indicators such as hashes, IP addresses, or domains efficiently and can detect and block malicious attacks with firewalls. It is very useful for eliminating workload of human errors, speeding responses for next-generation operations. Playbooks are customizable with dynamic analysis that align with organizational policies.

    What needs improvement?

    I think Cortex is the best tool, but there are a few points that could be added to improve it. For instance, enhancing UI simplicity and playbook flexibility are areas that could benefit from more low-code automation options for smoother integrations. AI-based alert prioritization features could enhance efficiency for SOC units.

    Cortex is a very good and accurate tool, and if some other tools could be integrated, such as third-party tools including Splunk, ServiceNow , and Microsoft, it would significantly enhance usability. Improving reporting and dashboard customization, along with the addition of real-time and exportable reports, would help SOC teams greatly. APIs should be efficient, coupled with simpler low-code notebooks for customizing smart AI-based incident prioritization systems.

    While using Cortex, I noticed some aspects that could be improved, such as increasing the synchronization speed between XDR  and Xnor. Although the synchronization is fast, it could be enhanced to generate new alerts more quickly. There could also be more granular role-based access control for better permission management, along with built-in playbook templates for common incident types such as phishing, allowing users to deploy automations more swiftly.

    For how long have I used the solution?

    I haven't used any tools before Cortex during my internship. This was my first experience with an endpoint detection tool, and I find it to be the best tool I have encountered.

    What do I think about the stability of the solution?

    In my experience, I have not faced any issues with Cortex; it functions seamlessly. There are no major downtimes reported, and the system remains reliable and efficient, with only minor sync delays under high data loads.

    Cortex remains fast and responsive, even with increasing data and alerts. Although there is a slight delay during peak load, the overall performance is stable and efficient.

    What do I think about the scalability of the solution?

    Cortex can handle data loads effectively, showing its scalability.

    How are customer service and support?

    As an intern, I manage my tasks independently, utilizing the extensive resources available online to learn how to use Cortex without needing customer support.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    I haven't used any tools before Cortex during my internship. This was my first experience with an endpoint detection tool, and I find it to be the best tool I have encountered.

    Cortex is the only tool provided to me throughout my internship, and I believe it is an excellent choice for endpoint detection and automation. I have enjoyed a great user experience with it, making it a standout tool.

    How was the initial setup?

    Before using Cortex, it's essential to research its features and capabilities. This knowledge aids users in becoming proficient. I advise new users to start small with playbooks, focus on data quality for XDRs, and plan integrations carefully for improved response speed and efficiency.

    What other advice do I have?

    I believe Cortex is a great tool that everyone working in cybersecurity should try. Those who use it will fall in love with it due to its automation capabilities and the numerous helpful features it offers. I would rate this product a nine out of ten.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    reviewer2775117

    Has improved real-time debugging and reduced development time through powerful diagnostic tools

    Reviewed on Nov 06, 2025
    Review provided by PeerSpot

    What is our primary use case?

    I have been using Cortex for 12 years. My main use case for Cortex is working on a daily basis, sometimes for programming and sometimes for supporting clients.

    A quick specific example of how I use Cortex is when a customer reports that the IMXRT 1170 board occasionally doesn't boot from flash after a power cycle. I sometimes have a customer who wants below 10 milliamps on RT1170, so for low power debug, I use the WFI instruction to enter sleep mode.

    How has it helped my organization?

    Cortex has positively impacted my organization significantly by enhancing both engineering efficiency and customer success in my work. The consistency of the architecture from Cortex M0 plus up to the M7 , M33 means development teams can scale design, reuse code, and shorten bring-up cycles, thus reducing time to market and lowering support overhead.

    I have several cases where the Cortex architecture directly contributes to measurable efficiency and faster problem resolution; one recent example was a customer facing intermittent system crashes during high throughput audio streaming. By using Cortex debug capabilities, particularly the fault status register, PC trace, and SWD real-time halt, we identified stack overflow and interrupt priority conflict within a few hours. Without those built-in debug tools, this type of issue could easily take multiple days of trial and error.

    While I do not manage the hiring budget or platform purchasing, I see direct efficiency and cost benefits from using Cortex-based platforms in the projects I support. Cortex improves ROI mainly by reducing debug time, enabling code reuse across devices, and avoiding redesign cycles. Resolving a real-time stability issue with Cortex debug tools saved two to three days of engineering effort and prevented a potential hardware investigation. The consistency of the architecture lowers long-term development and maintenance costs.

    What is most valuable?

    In my opinion, the best features Cortex offers are mainly DSP and its deterministic real-time performance, which also includes the nested NVIC, low power modes, and sleep instructions. Hardware DSP, SIMD instructions, the MPU, floating-point, TrustZone for security, advanced debug and trace, and scalability across series from M0 to M7  to M85 enhance its functionality.

    The deterministic real-time behavior, consistent low interrupt latency, the NVIC interrupt controller which provides fine-grained priority control and fast context switching are the features that make the biggest difference in my daily work. Overall, Cortex delivers excellent real-time performance and strong debug capabilities.

    What needs improvement?

    Cortex could do more with a unified low power management framework or enhanced trace and debug visibility by default, and more native support for mixed-criticality scheduling with stronger built-in guidance for memory AR key usage.

    Cortex is very strong overall, but it could benefit from more standardized low power APIs, easier trace debug access without extra hardware, improved mixed-criticality scheduling support, and clearer tooling documentation around cache, TCM, and memory AR key usage. These improvements would accelerate real-time development and reduce tuning time.

    Cortex delivers excellent real-time performance, reliability, and a mature development ecosystem. The interrupt architecture, security extensions, power-saving features, and debug visibility are very strong and consistently help deliver stable and efficient embedded systems in real-world projects. There are still areas where the developer experience could be improved further. Power management standardization across vendors could be more unified, making low power bring-up faster and more consistent. More integration on-chip trace options without relying on external hardware would improve field debugging and reduce development time. Additionally, built-in support for mixed-criticality workloads such as voice, audio DSP, connectivity, and application logic would simplify running complex pipelines with less tuning. These improvements would make Cortex even more efficient to work with and enhance the entire development workflow.

    One additional improvement I think would be valuable for Cortex is having more built-in tooling or guidance for real-time performance profiling directly on the core, especially lightweight integrated ways to visualize interrupt timing, CPU loading, and memory bandwidth usage without requiring an external trace module. A lightweight standardized real-time profiling interface such as SR timing, CPU load, and memory bandwidth, along with more reference material for optimal memory hierarchy usage, would make development even smoother.

    For how long have I used the solution?

    I have been working in my current field for one year.

    What do I think about the stability of the solution?

    Cortex is stable in my experience.

    What do I think about the scalability of the solution?

    Cortex's scalability is impressive; we can scale it from Cortex M0 to M7 and M85 cores.

    How are customer service and support?

    Customer support is easy to access and responsive.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    Before choosing Cortex, I evaluated legacy architectures such as AVR, PIC, and some proprietary DSP cores.

    What other advice do I have?

    My advice for others looking into using Cortex is to leverage the ecosystem. Lean on the ecosystem, study the NVIC and memory architecture early, use vendor SDKs, and enable debug security features from the start to get the most out of Cortex. I would suggest making the interview more interactive in the future. I rate this product an eight.

    NikhilSharma1

    Provides comprehensive network visibility and helps us identify threats efficiently

    Reviewed on Jul 22, 2024
    Review provided by PeerSpot

    What is our primary use case?

    Our primary use case for Cortex XDR is to bridge the gap between a Security Information and Event Management (SIEM) system and an Endpoint Detection and Response (EDR) solution. We use it to fetch data from network devices and endpoints, perform comparisons, and generate alerts. It is useful for detecting impossible travel scenarios where a user's IP address switches rapidly between geographically distant locations, which can indicate VPN use or other anomalies.

    What is most valuable?

    The product's most valuable feature is the ability to integrate and correlate data from network and endpoint sources. This comprehensive visibility allows us to quickly identify and respond to threats, such as impossible travel scenarios, with greater accuracy and speed.

    What needs improvement?

    The product could be improved in several areas. The complexity and confusion regarding product variants, such as XDR, Forexiant, and Forexon, must be addressed. There is also a need for clearer differentiation between features and capabilities within Cortex's suite, as the overlap between XDR and XIM can be confusing.

    Improvements in the user interface and more intuitive KQL query handling could also enhance usability. Additionally, better support for various deployment scenarios and cost management options would be beneficial.

    For how long have I used the solution?

    I have been using Cortex for approximately two years.

    What do I think about the stability of the solution?

    The solution's stability is generally good.

    What do I think about the scalability of the solution?

    The solution scales well. It is deployed without major issues across 60,000 endpoints in our organization.

    How are customer service and support?

    Customer support quality varies depending on the support plan. The premium plan offers excellent support. However, if you opt for a standard plan, the level of support may be less satisfactory.

    How would you rate customer service and support?

    Positive

    How was the initial setup?

    The initial setup was relatively straightforward. Modern methods, such as pushing clients over port 443, have made deploying endpoints easier than legacy systems.

    What's my experience with pricing, setup cost, and licensing?

    Cortex XDR is a costly solution.

    What other advice do I have?

    Overall, Cortex XDR is good software. Ensure you have the financial resources to support the investment or consider alternative solutions if cost is a significant concern.

    I rate it a nine out of ten.

    View all reviews