- If ingestion volume and retention cannot be controlled
- Sentinel’s consumption-based pricing can result in high costs when high-volume logs are ingested without filtering or transformation. Effective ingestion governance is required to manage cost risk.
- If the organization lacks KQL and Azure operational expertise
- Absence of KQL proficiency and Azure governance can hinder tuning, increase false positives, and increase operational burden.
- If a stable, unchanging UI/workflow is required with minimal portal churn
- Frequent portal updates and workflow changes in cloud-based security consoles can increase administrative overhead for some teams.
- If on-prem-only deployment or strict non-cloud constraints are required
- Sentinel is a cloud-native service; organizations requiring strictly on-prem deployments should evaluate alternative SIEMs that support on-prem or hybrid topologies.
- If transparent, simple self-serve pricing at enterprise scale is a requirement
- Azure consumption models require modeling and governance; organizations seeking simple, all-inclusive pricing should evaluate alternative licensing and vendor models.
- Cost and pricing clarity
- Estimating total cost can be challenging due to ingestion, retention, and additional Azure services. Implementing ingestion monitoring and retention controls is recommended.
- Content and deployment artifact maintenance
- Community reports indicate that deployment templates and content artifacts may require updates over time to remain compatible with current APIs.
- Service reliability risk
- Historical incidents affecting telemetry availability have been reported and highlight platform risk for telemetry pipelines; organizations should consider telemetry redundancy and monitoring.
- Operational monitoring of Sentinel
- Organizations should explicitly enable and operationalize Sentinel auditing and health monitoring to detect pipeline failures and service issues.
- Roadmap and feature maturity
- Features introduced in preview, including data lake initiatives, may change and should be validated for production readiness.