What really stands out in Fortinet FortiEDR is that we are integrating it with some private clouds at the customer's premises with secure SD-WAN networks. I don't know how much it contributes to this SD-WAN network in the own premises cloud solution, but that is what we are doing. This is especially relevant for government projects where the SD-WAN solution is within their private network, not touching the Internet or any other access. Their first requirement is centralized management. Additionally, they need antivirus updates and other things to be done through a centralized platform within that private cloud. That is their requirement, and currently, we temporarily allow internet access, but it is not preferred. We are moving towards a complete air gap, providing full isolation from the internet for that. We have started to work with machine learning capabilities in Fortinet FortiEDR. We are not that well-versed yet, but we have begun using machine learning for intrusion detection and other purposes. Regarding forensic analysis in Fortinet FortiEDR, it is useful in understanding attack vectors because our projects are based on the voice side, such as cloud PBX solutions and call center management. There are media activities and many attacks coming from the outside, as well as vulnerabilities from endpoints. In those cases, we need detailed analysis through an AI platform to inspect how these attacks are coming. We also require a proactive protection mechanism, including an alarm system for threat detection before attacks occur.
