When bringing lots of security information into Microsoft Sentinel, what are two smart ways to control how much it costs, while still making sure you catch all important threats?

When ingesting large volumes of security information into Microsoft Sentinel, two smart ways to control costs while ensuring important threats are still caught involve intelligent data filtering at ingestion and optimizing data retention policies. The primary cost driver in Microsoft Sentinel is the volume of data ingested into its underlying Log Analytics workspace. By managing this volume and how long data is stored in different tiers, organizations can significantly reduce expenses. Firstly, implementing granular data filtering and prioritization at the point of ingestion significantly reduces costs without sacrificing critical threat detection. This means proactively deciding which specific logs and events are most relevant for security monitoring and ingesting only those, rather than all available data. Many Microsoft Sentinel data connectors, which are mechanisms to bring data into Sentinel, offer built-in filtering capabilities. For instance, when connecting Azure Activity Logs, you can choose to ingest only specific categories like 'Security' or 'Administrative' events, excluding high-volume....