Microsoft Sentinel
Microsoft Sentinel can efficiently handle very large volumes of security logs while reducing overall operational costs. It enables scalable log management while maintaining strong security visibility and cost control.
Instead of sending all raw logs directly to the Analytics tier, high-volume data can first be ingested into the Sentinel data lake, which is more cost-effective.
This approach allows security teams to store raw logs for longer periods without impacting budget or performance. Logs in the data lake can be filtered, enriched, normalized, and summarized using KQL before further processing.
Only high-value and security-relevant events are promoted to the Analytics tier for detection and correlation. This significantly reduces noise and optimizes analytics workload.
The data lake also supports flexible retention and compression for historical analysis.
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