Transcript
Let me go on to just talk about how to think about your entire data protection program as you as you go through and you start thinking about what is my priority as an organization in solving some of these use cases. Because without a doubt, some of these use cases are keeping someone up at night and they have to solve for them ASAP. So if we think about data protection in three easy buckets, right? I need to have to be able to see my data wherever it is. Right. And how important is that to you as an organization, and what type of solutions are you going to put in place so you can have that extra visibility and to be able to begin a data protection solution? Another one is I need to be able to secure my data in motion. Um, right, as my data is being shared, I have some use cases that I want to be able to put some policies around and prevent data loss. Are there specific channels, such as endpoint, email, cloud applications, that are more important than others to you as an organization? Um, or do you just need to check all the boxes and secure all the channels? Right. And then last and not least, you know, data at rest is about understanding where your data resides on these different cloud repositories, where it's in email, um, whether it's work application on your endpoint, wherever it may be. Um, but what exposure, what risk is associated with that data if I have it sitting in a Box? Um, and you know what? Our company stopped using Box a while ago, and we switched to a different cloud repository. How do I ensure that data is safe? Is it configured properly? Um, and do we have did someone accidentally turn off, um, such as two-factor authentication etc. So you have to think about it from um, a perspective that is attainable to you as an organization. And what is the most important aspect of this for you as an organization? Right.
