mysoc.ai reduces SIEM noise by baselining every entity’s normal behavior and automatically eliminating events that match it, so instead of thousands of rule-based alerts your team sees only the small number of verified threats that remain.
Traditional SIEMs hunt for threats in mountains of data and generate alerts from static rules, producing high false-positive rates that bury real signals. The fix is not a better needle detector — it is removing the hay.
How AI removes the hay
SiemCore, the detection engine in mysoc.ai, turns raw logs into entities, learns each entity’s normal patterns, and groups peers together. Behavior that fits the baseline never becomes work; anomalies stand out immediately.
- Auto-discovery: raw logs become entities — users, devices, roles.
- Self-organization: AI learns normal patterns and forms peer groups.
- Threat detection: anomalies surface instantly instead of hiding in alert volume.
What changes for your team
The alert queue shrinks by orders of magnitude while everything stays retained and searchable in your SIEM. Analysts stop triaging false positives and start working verified threats, and detection gets faster because there is far less to wade through.
Frequently asked questions
How does mysoc.ai reduce SOC alert noise?
It learns each entity’s normal behavior and automatically eliminates events that match those baselines, so only anomalies and verified threats reach analysts instead of thousands of rule-based alerts.
Do I lose data when noise is reduced?
No. Noise reduction happens at the analysis layer. All events remain ingested, retained, and searchable in your SIEM; mysoc.ai only changes what becomes analyst work.
Does noise reduction increase the risk of missed threats?
Elimination is based on learned-normal baselines rather than blind suppression, and every decision is auditable. You can measure false-negative rates against red-team exercises and tune thresholds per customer.
See mysoc.ai in action
One AI-run platform for your entire SOC—triage, investigation, customer communication, and reporting.