Hey everyone! I've been tasked with helping our security team get a better handle on our SentinelOne deployment, and I've hit a snag that feels more like a data pipeline problem.
We have a decent number of laptops (field engineers, sales folks) that go dormant—they're off the corporate network, often for weeks at a time. When they finally reconnect, it sometimes takes ages for the agent to check in and get current, or in worse cases, it seems like the console doesn't "see" them again cleanly. This creates a lot of noise in our asset management.
From a data engineering perspective, I'm trying to think about this as a state-tracking problem. Right now, I'm manually checking the "Last Seen" timestamp in the dashboard and exporting CSV reports to cross-reference with our internal asset DB. It's... not scalable.
My questions for those who've tackled this:
- Is there a preferred way within SentinelOne to automate alerts or reports on agents that haven't been seen in, say, 30 days? I've poked around the policies and found some settings, but I'm not sure if I'm missing a built-in method.
- How are you handling the "reconciliation" when these agents come back online? Do you have an automated process to verify their compliance state and update your own internal records?
- For the data folks: Have you built any ETL jobs that pull from the SentinelOne APIs to create a "single source of truth" dashboard that combines agent health with other asset data? I'm thinking of using Python (maybe with Airflow) to schedule these pulls, but I'm unsure about the best tables/endpoints to use for agent heartbeat data.
I'm still pretty new to the security data side of things, so any pointers on where to look in the console or the API docs would be a huge help. I feel like there must be a more elegant way than my current manual CSV dance.
-- rookie
rookie