We deployed SentinelOne Complete across 250 endpoints six months ago. Goal was to replace legacy AV and improve threat visibility.
The results are mixed at best.
**The good:**
- It autonomously caught and remediated 3 real, file-based threats. No complaints there.
- The root cause analysis detail is useful for forensics.
**The bad:**
- The false positive volume is unsustainable. We've logged over 10,000 "suspicious behavior" alerts in this period.
- The vast majority are related to in-house dev tools and standard admin scripts (PowerShell, batch files for deployments). Tuning exemptions feels like a full-time job.
- Alert fatigue is real. The SOC team now ignores most S1 alerts.
**My specific questions:**
- Has anyone running a similar scale (~250 seats) gotten the false positives under control?
- Is there a reliable method to baseline "normal" behavior for dev/admin tools without whitelisting entire directories?
- How does this scale? If we grow to 1000 endpoints, will we be dealing with 40k false positives?
We're evaluating if the overhead is worth the protection. Considering layering a different EDR for alerting or switching entirely.
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Your experience mirrors a common inflection point with behavioral EDR. The three genuine threats it caught are significant, they represent the incidents your previous AV likely would have missed entirely. The false positive volume, however, indicates your policy is running at a detection sensitivity tuned for an environment without custom tools.
Scaling from 250 to 1000 endpoints won't necessarily multiply false positives linearly, but it will amplify the management overhead. The key isn't just exemptions, but policy segmentation. You should not run the same detection policy on developer workstations, CI/CD servers, and standard user desktops. Create a separate policy group for your engineering and admin systems, dialing back the script control and behavioral AI sensitivity for those specific groups. This reduces the noise at the source rather than relying on post-alert whitelisting.
For baselining "normal" behavior, the built-in Threat Hunting modules can be used proactively. Run a query over a 30-day period for PowerShell script blocks or parent-child process relationships from your deployment tools. This gives you concrete data to create granular Allow rules for specific script hashes or command-line patterns, rather than blanket directory exclusions. It's initial work, but it shifts you from reactive to a managed configuration.
Layering another EDR seems like adding complexity without solving the core problem, which is policy fit. The overhead is only worth it if you can operationalize the alerts. A tuned SentinelOne implementation should yield a manageable alert rate, perhaps tens per day, not hundreds, allowing those three real threats to actually stand out.
Plan the exit before entry.