Incident response is one of the key areas where the solution has been very useful. Whenever there is an incident, instead of being reactive, the government is now able to quickly gain the data that it needs to see what its end agency is also seeing and partner with them in real-time to look at the same data and to collaborate where needed, empowering the agency to be able to do their job. When it comes to the mean time to detect, we see a night and day difference. When you have an MSP model with visibility across multiple entities, your ability to get a tip, follow up on the tip, and investigate it is night and day. There's no comparison between having visibility and having across-agency visibility. SentinelOne has definitely reduced their mean time to respond. With this visibility, you can now respond. Before, there was no visibility, so we definitely see a big difference. With visibility into endpoint telemetry, SentinelOne does provide useful information to find threat actors and empowers those who are in the business of threat hunting. Prior to this, the alternative was partnering with an agency. going on-site and getting access. Now, being able to do that work remotely in real-time, it's a ninety-day difference in terms of being able to quickly, correctly, quickly respond and partner with the end agencies. That's a definite benefit. As an architect, I'm very curious about how AI takes security the next step forward, what it enables people to do differently, more quickly, or more comprehensively, and how that meets some of the needs today. I think that AI holds a lot of potential, and it can allow analysts to do their job quicker. It can allow them to do their job with more helpful context and, as a result, be able to perform orders of magnitude better than they would have without the tool.
