Is there a requirement for a simple to use multi-tenant Microsoft Sentinel solution?

Can AI-driven automation bridge the cybersecurity skills gap effectively?

Why this question matters now

  • Security teams are expected to respond faster to more alerts while operating with limited time, budget, and specialised skills.
  • Organisations running multiple environments (or serving multiple customers across multiple tenants) need consistent, scalable operations without multiplying effort.

What “multi-tenant” means in Microsoft Sentinel operations

  • Multi-tenant Sentinel operations involve managing multiple workspaces, subscriptions, or customer environments with clear separation and centralised control.
  • The goal is to deliver standardised monitoring, investigation, and reporting across tenants without duplicated tooling, whether you operate in a single workspace model or across multiple Log Analytics workspaces.

The biggest pain points that create a real requirement

  • Analysts often waste time switching between tenants, tools, and portals (for example, the Azure portal, Microsoft Defender portal, and the Microsoft Sentinel experience) rather than investigating and resolving incidents.
  • Complex investigation steps and KQL dependency slow triage when experienced Sentinel resources are scarce, especially when teams must open Microsoft Sentinel repeatedly in different subscriptions.

Skills gap and KQL complexity as a forcing function

  • Many SOC teams cannot staff enough KQL-proficient analysts to handle incident volume and 24/7 coverage.
  • A simple interface that can generate or guide KQL usage reduces reliance on a small number of experts and improves the day-to-day Microsoft Sentinel experience.

Operational scalability challenges for MSPs and internal SOCs

  • MSPs (as a managed security service provider) must onboard, standardise, and run detections across many customers while maintaining strict tenant isolation, including co-managed Microsoft Sentinel scenarios.
  • Internal enterprises face similar scaling issues across business units, regions, and mergers with different Sentinel setups, including multiple-workspace capabilities and multi-workspace support.

Where “simple to use” becomes a measurable requirement

  • Teams need faster time-to-triage, fewer escalations, and consistent closure quality across junior and senior analysts.
  • Leaders need predictable reporting, SLA tracking, and audit-ready workflows across all tenants, with a unified view where appropriate.

What to look for in a simple multi-tenant Sentinel solution

  • It should centralise multi-tenant visibility while enforcing data segregation and role-based access control, even when you must select subscriptions across delegated directories or managed tenants.
  • It should reduce manual steps through automation, guided playbooks, and repeatable workflows, including automation pack patterns and common connectors, to help extend Microsoft Sentinel without adding operational overhead.

How conversational AI changes Sentinel investigations

  • A conversational assistant can translate analyst intent into actions such as enrichment, summarisation, and query generation, including cross-workspace queries where needed.
  • AI-guided resolution helps analysts follow consistent steps and reduce missed context during high-volume triage, improving Microsoft Sentinel optimization over time.

Why built-in ticketing and change management matter in daily SOC work

  • Native ticketing reduces context switching and keeps evidence, decisions, and approvals attached to the incident.
  • Change management supports controlled tuning of rules, automations, and responses across multiple tenants, enabling a smooth transition as teams standardise operations.

Example outcomes teams typically want (and can benchmark)

  • Reduce mean time to acknowledge and resolve incidents by standardising triage steps across tenants, whether operating a central Sentinel workspaces approach or multiple secondary workspaces.
  • Improve analyst productivity by minimising tenant switching, manual queries, repetitive documentation, and unnecessary portal hopping when analysts access Microsoft Sentinel.

How SecQube aligns with this requirement

  • SecQube provides an AI-powered, multi-tenant platform for Microsoft Sentinel that simplifies investigation and triage without requiring deep KQL expertise.
  • Harvey, SecQube’s conversational AI, supports incident investigation with AI-guided workflows, while the platform adds a multi-tenant portal with built-in ticketing and automated threat intelligence enrichment—helping create a more unified security operations experience alongside tools like Microsoft Defender XDR and Microsoft Defender multitenant management.

Who benefits most from adopting a simplified multi-tenant approach?

  • Managed security service providers that need white-label, scalable operations across many customers with consistent service delivery, including managed workspace patterns.
  • Enterprise SOCs that need standardised processes across regions, business units, or multiple Sentinel workspaces and multiple workspace deployments, regardless of Microsoft Sentinel instance layout.

Practical next steps to validate the requirement in your environment

  • Audit how many steps and tools your analysts use per incident and quantify time lost to tenant switching, manual queries, and navigating the Azure portal vs. the Microsoft Defender portal to open Microsoft Sentinel.
  • Run a pilot using a multi-tenant workflow with AI-guided triage and measure impact on triage speed, closure consistency, escalation rates, and how well cross-workspace analytics rules and logs are handled from a single workspace (or clearly defined central Sentinel workspaces) deployment guide.
design svgdesign svgdesign svg
SaaS
Experts

AI SOC
SOC
Incident
Skills Gap

SecQube for Sentinel

Try today
SaaS
design color imagedesign svg
design color imagedesign color image