![]() ![]() Ingestion caps can lead to log loss and missing log correlation during security breaches when log ingestion is at its peak. CEF Log Forwarders that were pointing to Workspace B agents required the Linux Log Analytics Agent to be uninstalled and reinstalled pointing to Workspace A, the CEF and Syslog Sentinel connectors needed to be enabled on Workspace A allowing the Firewall logs to begin populating.Enable custom alerting by reconfiguring custom Playbooks.This would result in much easier event queries. ![]() In order to see the full benefits of Azure Sentinel Machine Learning and AI, the university needed to get all logs and data connectors in a single workspace instead of the two.Log Analytic agent configuration settings had to be set to match both workspaces.This helped eliminate key data ingestion concerns and started a data governance discovery process that examined what logs are truly necessary. The university’s Firewall syslogs were the largest syslog ingestion on Workspace B, and they were able to lower ingestion by using Syslog Log Analytic Agent configurations and modifying Firewall settings.Syslog logs were causing higher than desired billable ingestion that was not benefiting from Azure Security Center 500 MB per Node discounts.ĭuring workspace architecture reviews OCG gained a complete view of the university’s Azure Sentinel deployment and recommended several key remediation strategies.Customer would like to set a cap on their data ingestion to reduce costs.Workspace A subscription is set to Pay-as-you-go and Workspace B subscription is set to 100 GB day/Capacity Reservation.Customer was seeing greater than 200 GB ingestion daily on Workspace B and over 50 GB daily on Workspace A.Data retention was set differently on each workspace.The university was not able to see servers or logs from either the Azure Sentinel dashboard or queries and was having to manually query Workspace A.Oxford Computer Group was engaged to review the university’s Azure Sentinel setup and give recommendations and guidance.Īfter their initial deployment the university needed help with several issues, including: ![]() The quick deployment was initiated without a detailed data governance plan and created issues with architecture and log ingestion. Azure Sentinel Data Connectors were connected on Workspace B.
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