Microsoft Sentinel
Architecture, onboarding, data sources, analytics, automation and operational use.
Sentinel · Defender · KQL
I work across Microsoft Sentinel, Defender and KQL to improve detections, integrations, automation and the way security teams actually use the platform.
Capability
Microsoft security environments often become complex quickly: data connectors, analytics rules, automation, workbooks, Defender signals, identity context and custom integrations all accumulate at different speeds.
I help simplify that complexity into a coherent operating capability.
Architecture, onboarding, data sources, analytics, automation and operational use.
Improve how Defender signals and capabilities feed investigation and response workflows.
Detection logic, investigation queries, data validation and operational troubleshooting.
Develop and improve detections with attention to fidelity, context and analyst handling.
Connect identity, endpoint, cloud, network and third-party telemetry into useful analyst context.
Reduce repetitive steps while preserving accountability and clear decision points.
Principle
A technically complete deployment can still produce a poor SOC experience. Rules can fire without useful context, automation can move work rather than remove it, and integrations can create volume without improving decisions.
I assess Microsoft security capability through the lens of the analyst and the service: what information is available at each step, where effort is duplicated, which signals deserve attention, and what can safely be automated.
Related
SOC and MXDR operating models, service improvement and assurance.
Explore security operations →Evaluate AI against real workflows, controls and measurable outcomes.
Explore applied AI →Background across SOC delivery, solution design, service delivery and leadership.
View background →Contract enquiries
Describe the environment, the operational issue and what you need to change.