Ran a 90-day analysis across our endpoint stack. Carbon Black's alert volume was 3.2x higher than CrowdStrike for similar coverage. The signal-to-noise ratio is a known pain point.
Primary contributors based on my log analysis:
* **Default policy sensitivity:** Out-of-the-box policies flag any unsigned binary or script execution. Creates massive baseline noise.
* **Contextual gaps:** Alerts often lack process lineage or user context. Forces manual triage for basic filtering.
* **Example alert payload:**
```
{
"alert_type": "WATCHLIST",
"process_name": "powershell.exe",
"suspicious_indicator": "Script execution",
"target_value": "encodedcommand",
"severity": "HIGH"
}
```
No parent process, no command line details. This is a generic high-severity alert. Hundreds like it per day.
Tuning requires significant man-hours to build exclusions and custom rules. Competitors seem to do more correlation engine-side before alerting.
Benchmarks don't lie.