We use Palo Alto Networks IoT Security. The on-premises firewalls send logs to the customer's Cortex Data Lake. The IoT solution collects these Cortex Data Lake logs to suggest security policies for the firewall automatically. We provide an automated security posture by integrating artificial intelligence and Cortex Data Lake data.
The real-time monitoring capabilities have improved our security posture.
Palo Alto Networks IoT Security is remarkably user-friendly. Once we learn how to use it, it is a great hands-on product.
Palo Alto Networks IoT Security offers exceptional visibility into scanning reports by integrating XOR and Cortex Data Lake.
The risk assessment information that Palo Alto IoT provides is excellent. We get a lot of information.
Automating device visibility and policy creation has saved me and my staff time by eliminating the need to verify policies, services, and user quarantine status manually. The system automatically suggests appropriate actions, making my job easier.
Palo Alto Networks IoT Security has saved us 10 percent of our time.
Machine learning technology has adapted to the evolving threats in Palo Alto Networks IoT Security. The machine learning algorithm deployed in the next-generation firewall helps identify and predict the probabilities of viruses. Based on that log, cloud antivirus inspection engines and a machine learning antivirus engine are integrated with the IoT whenever a firewall cannot understand a signature. This is where machine learning significantly contributes to IoT security.
I like the Cortex Data Lake integration with security automation. They also integrate with SIEM, Cisco ISE, and third-party systems, which is great because it's interoperable across vendors. IoT will collect XOR logs from the XOR engine; third-party integration is a big plus. It also integrates with Cisco wireless LAN, Aruba wireless LAN, and others. This allows for endpoint protection, IP address management, and many other integrations so that the IoT cloud can have visibility into asset management, endpoint management, IP address management, wireless LAN management, network access control integrating with Cisco ISE, and then scanning all the networks by collecting all that data. These are the things I like about Palo Alto Networks IoT Security.
The primary problems are firewalls unable to reach the cloud or port issues between the Cortex Data Lake and the IoT servers. If these issues occur, IoT data collection will fail. If IoT data collection fails, automatic security pushes, and other intakes will also be impacted.
It would be great to incorporate SD-WANs into our network infrastructure. This would enable us to maintain centralized coordination directly from the IoT devices. Essentially, this solution focuses on data analysis and cannot perform any physical actions.
I have been using Palo Alto Networks IoT Security for almost three years.
I would rate the stability of Palo Alto Networks IoT Security seven out of ten. It is getting better but has room for improvement.
I would rate the scalability of Palo Alto Networks IoT Security eight out of ten.
The technical support is helpful. They have strong SLAs, and our support level will increase based on the service we purchase.
The initial deployment was neither straightforward nor simple. We contacted the sales team for an estimate, and they assisted us with IoT security. The deployment process lasted approximately one to two months.
I would rate Palo Alto Networks IoT Security eight out of ten.
We have around 30 users in our organization.
It is crucial for us that the Palo Alto Networks IoT Security firewall acts as a sensor requiring no extra hardware to deploy or manage.
Maintenance is required because Palo Alto Networks IoT Security relies on updates to function effectively.
