Microsoft Sentinel uses artificial intelligence, machine learning, and built-in threat intelligence to detect and respond to cyber threats in real time.
Sentinel streamlines security operations by automating responses to detected threats, reducing manual intervention.
Sentinel provides a unified security ecosystem by integrating with Microsoft and third-party security solutions.
Microsoft Sentinel is Microsoft's cloud-native Security Information and Event Management (SIEM) and Security Orchestration, Automation and Response (SOAR) platform. It ingests security telemetry from Microsoft and third-party sources, uses AI and built-in analytics to detect threats, supports proactive threat hunting, and automates response through playbooks. Unlike traditional on-premises SIEMs, Sentinel scales elastically with no infrastructure to manage, and integrates natively with the rest of the Microsoft security stack.
Microsoft 365 Defender (now the Microsoft Defender XDR portal) correlates signals across Defender for Endpoint, Identity, Office 365, and Cloud Apps — it's an XDR platform focused on the Microsoft 365 estate. Sentinel is a full SIEM and SOAR platform that ingests telemetry from anywhere: Microsoft 365, Azure, AWS, Google Cloud, third-party firewalls, on-premises infrastructure, custom applications. Most mature Microsoft environments use both: Defender XDR for deep Microsoft-native detection and Sentinel for enterprise-wide visibility and response.
For most Microsoft-heavy environments, yes - and SIEM migration to Sentinel is one of the most requested services our team delivers. Sentinel matches or exceeds the detection capabilities of Splunk, QRadar, and other established SIEMs while removing infrastructure overhead and typically reducing total cost of ownership. Migration involves rebuilding detection rules in KQL, mapping data connectors, and validating that historical use cases are preserved. We run SIEM migration assessments that model cost, coverage, and operational impact before you commit - because a poorly planned migration costs more than staying put.
Sentinel is priced on data ingested per day, which means unmanaged deployments can produce surprise invoices while well-designed ones run at a competitive cost. We manage Sentinel cost through ingestion architecture - using data collection rules to filter noise at source, tiered storage (Analytics, Basic, Archive) matched to detection value, and Azure Data Explorer for long-term retention at a fraction of Sentinel storage cost. Our team also runs Sentinel cost reviews for existing deployments, typically identifying meaningful monthly savings without reducing detection coverage.
Our managed Sentinel service covers deployment, ongoing rule tuning, threat hunting, incident triage, response coordination, and reporting. Engagements are delivered by senior consultants with hands-on Sentinel, KQL, and MITRE ATT&CK experience - not junior analysts working from templated playbooks. The service can operate as a full managed SOC, as co-managed alongside your internal team, or as advisory support during specific programs such as migration or major incident response.
Not necessarily. Sentinel is the platform - a SOC is the people, processes, and technology that use it. You have three practical options: build an internal SOC (heavy investment for most mid-market organisations), engage a managed detection and response (MDR) provider, or use our managed Microsoft Sentinel service where our senior consultants operate the platform on your behalf. Our managed service covers ongoing rule tuning, threat hunting, incident triage, and response coordination - delivered by consultants with hands-on Sentinel, KQL, and MITRE ATT&CK experience, not junior analysts working from templated playbooks.
