What Does Sentinel Software Security Do?

What is Sentinel software security, and what threats can it detect?

Microsoft Sentinel is a cloud-based security operations platform that helps teams spot suspicious activity across connected environments, investigate it, and hunt for threats. Microsoft describes it as supporting multicloud and multiplatform environments, so its role is broader than watching only Microsoft services.

The platform analyzes incoming security data and can group related alerts into incidents. Analytics can correlate lower-confidence alerts across entities, while built-in content includes anomaly detection and MITRE ATT&CK coverage. That gives analysts a way to move from isolated signals toward a more coherent incident to investigate.

Detection quality depends on the data and rules in use. A connector that is absent, misconfigured, or feeding irrelevant volume can leave blind spots or add noise. Treat Sentinel as the analysis and response layer for connected telemetry—not as a substitute for deciding which systems matter and validating that their data arrives.

Is Microsoft Sentinel a SIEM, a SOAR tool, or both?

Microsoft Sentinel is both: SIEM capabilities help collect and analyze security events, while SOAR capabilities coordinate and automate responses. Microsoft’s Sentinel overview describes detection, investigation, response, and threat hunting; its automation documentation explicitly identifies the platform as both SIEM and SOAR.

In practice, SIEM work begins with data: connectors bring events into the workspace, analytics identify patterns, and incidents organize alerts for review. SOAR adds repeatable actions to that workflow. Automation rules can assign, tag, or close incidents, apply across multiple analytics rules, and invoke playbooks built with Azure Logic Apps.

Those playbooks can connect to services such as ServiceNow and Jira. The useful distinction is operational: SIEM helps the team decide what deserves attention; SOAR helps carry out defined next steps consistently. Start automation with clear triggers and bounded actions, then check that incident records and handoffs remain useful to analysts.

How much does Microsoft Sentinel cost, and what affects the bill?

Sentinel pricing depends on data volume and the plan selected, so a meaningful estimate starts with the expected daily ingestion—not just the platform name. Analytics-tier pricing is pay-as-you-go or based on a commitment tier; Microsoft says commitment tiers start at 100 GB per day, and usage above the commitment is billed at the selected tier’s effective rate.

Ingestion is only one cost line. Microsoft’s billing guidance says a bill can also include Log Analytics ingestion, Sentinel analysis, retention beyond included periods, data-lake usage, Azure infrastructure, and playbooks or other deployed services. Azure Monitor offers Analytics, Basic, and Auxiliary ingestion plans, which differ in query capabilities and costs; a workspace can mix plans across tables.

Retention terms are plan-specific, so verify the pricing details for the tables and configuration you intend to use. To keep estimates grounded, prioritize connectors by security use case and expected data size, then compare actual ingestion with the estimate after onboarding. Microsoft’s billing and pricing guidance and Azure Monitor pricing page describe the relevant meters and plan differences.

Which security logs should we connect to Sentinel first?

Connect the sources that support your highest-priority security use cases, and weigh their expected data size before enabling them. Microsoft’s deployment guide recommends prioritizing connectors using both security value and data volume, because those choices affect budget and deployment time.

A practical first pass is to list the systems behind the incidents your team needs to detect, then confirm each source has a supported connector or ingestion route. Sentinel supports Microsoft and non-Microsoft connectors; data can also arrive through Syslog, Common Event Format (CEF), REST APIs, or custom connectors. Microsoft’s onboarding quickstart uses Azure Activity as an example and notes connectors for Microsoft products as well as non-Microsoft Syslog or CEF sources.

1. Map use cases to data: write down the activity needed to investigate each priority threat.
2. Check ingestion routes: confirm the connector, permissions, and expected event fields for each source.
3. Estimate volume and cost: stage sources by value and data size rather than connecting everything at once.
4. Validate and tune: confirm events are arriving, review incident volume, and adjust analytics rules as real patterns emerge.

Connector challenges often show up as missing data, unexpected volume, or alerts that lack the context analysts need. Investigate at the source-to-workspace path: verify the intended connector and data route, compare observed ingestion with the estimate, and check whether the resulting incidents support the use case. Sentinel deployment planning also covers workspace architecture, tenant and compliance needs, Azure RBAC, and budgets for ingestion, Log Analytics, and playbooks.