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The in-depth investigation capabilities are a major advantage. When the system flags something as malicious, it provides a packet capture of that activity within the environment. That helps my team quickly identify additional context that most other tools wouldn't offer – like source IP or base64 encoded data. We can also see DNS requests and other details that aren't readily available in solutions like Check Point or others that we've tried. The detection itself is solid, and their sandboxing is powerful. There's a learning curve – you need a strong grasp of OS-level changes, process forking, registry changes, and the potential impact of those. But with that knowledge, the level of information Trellix provides is far greater than what we've seen elsewhere. The real-time response capability of Trellix has been quite effective, although it's not very fast. The key is this solution's concept of 'preference zero.' They don't immediately act on a zero-day. For example, the solution has seen a piece of malware for the first time. It'll let it in, then do sandboxing. Maybe after four or five minutes, it identifies that specific file's DNX Secure Store as malicious. At that point, they update the static analysis engine, and it gets detected if anything else tries to download the same file. There is that initial 'preference zero' concept, like with Panda. You may not hold traffic in the network. That's standard in the industry; we don't do much about it. To address that, we also have endpoint solutions. We use SentinelOne in our environment, which helps us identify threats like Western Bureaus and others.
