What is our primary use case?
The usual use cases for Cortex Cloud by Palo Alto Networks that I have been working with mostly are as simple as detection of misconfigurations during the deployment cycle. Whenever customers want to deploy their workloads, they use the platform to detect any sort of misconfigurations. They use it for threat detection, creating alerts and policies around that.
Cortex Cloud by Palo Alto Networks is a Cloud Security Posture Management and workload protection platform. It is used for cloud security posture management and runtime security as well, helping both the security posture management and runtime security.
What is most valuable?
The features or capabilities of Cortex Cloud by Palo Alto Networks that I have found the most valuable and useful include runtime security and runtime protection. Cortex Cloud by Palo Alto Networks offers the ability to monitor workloads in real time to detect any sort of threats and vulnerabilities. The application security part of the platform is also valuable, as there are very few tools in the market offering this capability, similar to Wiz, which was acquired by Google. The agentless scanning that Cortex Cloud by Palo Alto Networks offers is also something relatively new in the market.
Cortex Cloud by Palo Alto Networks has helped reduce manual tasks in security processes for my customers and for me. If a customer needs to create an alert and policy, the platform offers a simple RQL which is similar to SQL queries that customers can use. It is a set of auto-populated language that customers can use to build these queries depending upon what the use case is. The tool is fairly easy to adapt to, and any new customer who does not have experience writing these languages can simply utilize this and create their own queries to monitor their workloads. Any customer without an idea of how cloud functions or security functions work can still make use of it. The tool is quite user-friendly.
Cortex Cloud by Palo Alto Networks' AI and automation features in detecting and responding to high-risk threats have been quite good in my opinion. The platform has an AI Copilot integrated with it, which helps for data security protection and has certain AI capabilities to start monitoring with lesser human intervention to detect anomalies. I have not had a lot of hands-on with this feature, but it does a good job. I would rate it as a very good feature from Cortex Cloud by Palo Alto Networks, and I believe it does a fairly good job.
What needs improvement?
In my opinion, Cortex Cloud by Palo Alto Networks could be improved or enhanced in various ways. I don't have an idea about that yet because for that you actually need to use two or three different other tools to make a basic comparison. If you ask me how good the tool is, I would fairly rate it quite high. The tool is very popular, and customers can already see that it is one of the cloud leaders in the security space. The platform had a very good feature which provides documentation links about how to use a specific feature on the UI. It takes you to the proper documentation page where it suggests what to do and tells you about the steps that need to be done for a resource deployment.
My thoughts about improving the product which I believe could greatly aid vendors is that it used to be a very user-friendly tool, but now they have incorporated everything under one umbrella. It has XDR, XSOAR, and Cortex Cloud by Palo Alto Networks. Before, we used to have separate modules and separate environments for each of these capabilities or features. Right now, it is a little complex and users would take their own time to know the tool better. This is something that would have been way better, but I would say there would be different opinions on this. Talking about user-friendliness, it has decreased now.
For how long have I used the solution?
I have been working with Cortex Cloud by Palo Alto Networks for five years.
What do I think about the stability of the solution?
My evaluation of how stable and reliable Cortex Cloud by Palo Alto Networks is very positive. The platform is very stable and very reliable. I definitely recommend a nine out of ten. There are only few key players in the market around the security posture management and the workload protection bit. Cortex Cloud by Palo Alto Networks is one of those. There are few other competitors, but they are not that mature in terms of the application security or the runtime security features or capabilities that this tool offers. The direct competition of this product is Wiz, which was acquired by Google. If you look at it, they are very good in terms of security posture management, but on workload protection, they are still coming up. The tool does a great job.
What do I think about the scalability of the solution?
I evaluate how scalable Cortex Cloud by Palo Alto Networks is within a specific context. The platform is able to auto-shut certain resources that are not in use through the agentless scan feature. The platform is scalable that way. The agentless scan does not run twenty-four hours. It is basically on when I am manually triggering a scan on it. This is a good feature in that way. The platform takes snapshots.
How are customer service and support?
I often communicate with the technical support of Cortex Cloud by Palo Alto Networks. There is a different TAC team that takes care of such issues. We communicate on a daily basis as it is required.
My interaction with them usually involves cases that are quite straightforward. It would be as simple as the tool not functioning the way it is expected to be. A customer would raise a ticket and then it goes to support. We would look at whether it is a break fix sort of an issue or a consulting issue. If it is a break fix, it is generally taken care of by the technical support or the TAC teams.
Which solution did I use previously and why did I switch?
I have been working with Prisma Cloud, which is a Palo Alto Networks offering, in a capacity similar to Fortinet. I was working with the Cloud Security Posture Management and workload protection. I have worked on a CNAPP platform called Prisma Cloud, which is a Palo Alto Networks offering, but not on the Fortinet one. Cortex Cloud by Palo Alto Networks is what I am currently working with.
How was the initial setup?
I am involved in the deployment or initial setup of Cortex Cloud by Palo Alto Networks.
The usual setup process actions I need to perform are very different depending on what kind of resource and which cloud platform it is getting deployed from. The usual steps generally involve a few Terraform commands to deploy the resources. After that, we start monitoring and auto-remediating alerts for the customers in real time. For that, we take the permission to read and write to explicitly make any auto-remediation changes for the customer. On the workload protection bit, it is proper container deployment, which is again very varied. It could be an Azure container, so based on that, the deployment steps would vary. On that part, we basically use YAML scripts to make those deployments, the defender deployments. There are times when there are upgrades that involve a little complexity. Other than that, I don't think there is any challenge in deployment.
What about the implementation team?
My customers usually prefer deployment on cloud or on-premises. It has been a mix of both scenarios.
What was our ROI?
In my experience, I have observed a bit of improvement in the incident close rates with the adoption of Cortex Cloud by Palo Alto Networks. We use a third-party integration channel for that. I don't think the tool in itself is very capable of doing that, but we have XSOAR and other tool integrations done on the platform, so this can be accomplished. For incidents, you could have to use the monitoring tools like Qualys and Tenable. Those tools would be able to have the incidents monitored. Cortex Cloud by Palo Alto Networks is capable of doing that, and they have a different tool for it called Cortex XSOAR.
What's my experience with pricing, setup cost, and licensing?
I am not fully aware of the pricing and licensing of Cortex Cloud by Palo Alto Networks. The pricing is also based on the number of defenders or the agents that are created, so it is very different based on what resources are run. The scanning resources used would depend on that. I do not have that information by heart, but I can check and get back with the details.
Which other solutions did I evaluate?
My impression of the detection coverage in MITRE ATT&CK evaluations is that there is a CWP which is called the workload protection, and we also call it compute. These capabilities do offer MITRE ATT&CK protection as well. It is not provided under CSPM but is provided under cloud workload protection bit where defenders or agents are deployed on top of containers or workloads or clusters and then monitoring starts for it.
What other advice do I have?
The influence of the AI-powered prioritization and action plans on my customers' risk management processes is significant. The AI Copilot has actually helped customers with a lot of reporting and real-time monitoring. There is a storage-based monitoring that we used to do where only the storages were basically monitored or certain PII-based data used to be monitored, which was under an object store or maybe a block storage. This used to be very helpful for our customers.
Cortex Cloud by Palo Alto Networks has reduced the time spent on incident investigations to a degree. The investigation team and the tool work on these incidents. I have observed a change in mean time to response since implementing Cortex Cloud by Palo Alto Networks. It has been very quick. There has never been a long time, so it is very spontaneous. If you talk about the SLA, I would still say ninety-nine percent, and it is fairly very spontaneous. There is no downtime that I have seen till date, even after the deployment is done, so it is quite good.
Cortex Cloud by Palo Alto Networks does offer a cloud security ops dashboard, but it is in a very early stage right now. Customers can use or modify the dashboards based on the filters that are provided. The filters would be quite generic, such as alerts raised over time, vulnerabilities or CVs raised in twenty-four hours. Only the filters that are provided would allow customers to monitor and extract reports based on those filters, but not the custom filters that are provided yet.
The unified data setup in Cortex Cloud by Palo Alto Networks has helped to streamline security intelligence efforts for my customers. It is all linked to the machine learning that runs behind the AI Copilot and the anomaly detection that was mentioned. It is all integrated in the product and the tools. Customers make a lot of benefit out of it. I would say it is fairly done well.
Cortex Cloud by Palo Alto Networks' cloud runtime security in terms of stopping attacks in real time is impressive. The workload protection module is specifically meant for the runtime workloads. The platform offers this capability using the runtime protection in real time. It is quite a perfect and very capable tool. The entire idea behind the creation of Cortex Cloud by Palo Alto Networks runs on this basic nature, that it helps both the security posture management and runtime security. It is a fairly good tool and is only built for that.
When there are updates and upgrades of the product, there are certain challenges. Generally, when there is an upgrade for the platform, there is a self-hosted edition where everything is maintained by the customer themselves. We are not supposed to make any sort of changes with their environment. Customers would face certain challenges and different maintenance windows are rolled out, so they have to tag along with that and then make certain changes to their environment. It is completely handled by them. This is when we see some challenges and support tickets raised. On the other platform, which is the SaaS version, we only take care of all the upgrades, so there is no problem there.
I give this review an overall rating of nine out of ten.