Transcript
As we know, data has become the most critical digital asset for all organizations, and it is becoming more and more difficult to protect them for three simple reasons. The first is that they grow continuously and without control. The second is that there are more and more regulations that organizations have to comply with. And the third is that the use of Gen AI has become massive and often without control. Gen AI can be our best ally, but it can also be our worst enemy. Why? Because there are three risks associated mainly with Gen AI. One is the low visibility that we can have of both applications and data that circulate on these platforms. The second is because there is a high risk of data leaking. And the third, as I mentioned at the beginning, is because more and more regulations have to be followed. This means that Gen AI allows us, on the one hand, to increase productivity, but on the other hand, it brings us the risk that more and more of these platforms are used to generate cyber threats and cyber attacks. This means that more and more Gen AI is used to generate cyber attacks. What do we want to achieve? We want to find this specific point, which is the balance between allowing our users to use Gen AI, but safely. And that's where Cscaler can help you. Using four basic principles that I'm going to explain to you. The first is to gain data visibility, both in motion and in rest. The second is to mitigate risks proactively. The third is to protect data, especially those that are in motion and those that go to Gen AI platforms. And the fourth principle is to monitor and automate workflow in case of an incident. These four principles are based on our Zero Trust architecture. Through our cloud called Zero Trust Exchange, which is present in more than 150 countries worldwide, this cloud acts as a broker between entities that can be workloads or users and Gen AI platforms. The first thing we do is provide visibility of the data that is passing through our cloud, using artificial intelligence tools such as LLM or some more advanced tools like OCE. Then the second step would be to mitigate potential threats related to what is data in rest. There we use solutions like DSPM that allow us to provide this type of solution. The third step, which is more related to data in motion, would be solutions more related to DLP, URL filtering, Cloud App Control, among others, such as Browser Isolation as well. And finally, with data monitoring. Not only monitoring, but also being able to automate through integrations with ITSM systems to be able to resolve incidents in case they occur proactively and easily. Now, if we take a user as an example, the first thing we have to think about is how we connect this user safely to our cloud. That's where the principles of Zero Trust architecture come in. Let's say this user wants to use an application like ChatGPT to upload a document and be able to make an analysis of it. What is the first thing our platform would do? The first thing is to be able to have visibility and be able to detect what type of documentation it is, and if it contains any sensitive information. For that, we could use technologies like OCR. The next step would be, well, this is information that is in motion. Therefore, it would apply some of the principles that I mentioned earlier. For example, DLP. We don't want sensitive information to leave our organization or to be exposed. And finally, no less important, is the continuous monitoring of this traffic and being able to detect potential threats and resolve incidents. So, in this case, for example, if this user wants to be able to use ChatGPT, but without the risk of being able to exfiltrate data, we are going to allow them to use it, but under a restricted use. All this while educating users about the safe use of data. In short, Syscaler allows us to provide a complete and holistic data protection solution based on three criteria. Scalability, simplicity and agility to resolve incidents in case they occur proactively and quickly. That's all for now. Thank you for joining me in this video and I hope to see you next time. Bye!
