When deploying AI applications, my key security concerns with Microsoft Defender for Cloud are data loss, leakage of data, and guardrails around the actual AI, and I am hoping that this is going to help me put those guardrails in place and identify data exfiltration. Microsoft Defender for Cloud has not helped me manage and secure multi-cloud environments, as we are 100 percent Microsoft and have not really got it in any other environment at all. I am not yet using the unified AI-powered security feature offered by Microsoft Defender for Cloud, but that is coming. I am not yet using the integrated XDR feature of Microsoft Defender for Cloud, but that is coming. I am not yet utilizing the GenAI threat protection features of Microsoft Defender for Cloud. That is also coming and a lot of that will come from learning it here. I have enabled the agentless scanning in my cloud environment with Microsoft Defender for Cloud. Assessing the impact on my workload protection without needing to install agents with Microsoft Defender for Cloud makes it a lot easier, but it also identifies a lot more, which puts more load on me sometimes. I would advise another organization considering Microsoft Defender for Cloud that it is the most logical route to follow if their whole ecosystem is Microsoft. It is easy to implement and it is very self-explanatory when doing it, making sense to just follow the steps as it is too simple, really. I would rate this review a 7.5 out of 10.
