How SecQube Harvey Portal and Microsoft Sentinel are revolutionising AI-driven SOC operations

Security Operations Centres (SOCs) are under pressure from two directions at once: threat volume is rising, and experienced analysts are hard to hire and even harder to retain. At the same time, boards and regulators are demanding faster, verifiable outcomes: shorter response times, tighter governance, and clearer evidence of control.

This is where the combination of Microsoft Sentinel (as the SIEM foundation) and SecQube’s Harvey® Security Portal (as the AI-driven operations layer) is changing what “good” looks like in a modern SOC: fewer manual steps, fewer specialist bottlenecks, and a far more consistent investigation workflow. (secqube.com)

Why Sentinel-led SOCs still struggle day to day

Microsoft Sentinel is a powerful platform, but most real SOC friction happens in the gaps between capability and execution:

• Analysts drown in alerts and context switching across tools
• KQL becomes a skills gate for triage and threat hunting
• The “how” of investigation varies by analyst, shift, and client
• MSSPs spend too much time managing multi-tenant workflow rather than improving outcomes

Even well-funded teams feel this. For many organisations, the real challenge is not “do we have a SIEM?” but “can we operate it at speed, consistently, with the people we actually have?”

What SecQube adds: an AI operations layer built for Sentinel

SecQube is designed specifically to make Sentinel operations simpler, faster, and more accessible, without forcing every organisation to staff a large, high-seniority SOC. The platform is cloud-native and built around Harvey, a conversational AI assistant that guides investigations and automates routine decision points. (secqube.com)

Two things matter to decision-makers here:

1. Operational control: repeatable workflows that don’t depend on a few “hero analysts”.
2. Economic leverage: less time per incident, fewer escalations, and more automation without sacrificing governance.

SecQube’s expansion also signals market momentum: the company announced its official US launch on 23 February 2026, with availability via the Microsoft Azure Marketplace and a dedicated US-based team. (investor.wedbush.com)

Harvey in the SOC: conversational AI that drives investigations forward

Harvey is not positioned as “generic AI for security”. It is designed to support the actual flow of SOC work: triage, investigation, and next actions—using natural language to reduce friction and speed up decision-making. (secqube.com)

Instead of relying on every analyst to remember the right query, the right pivot, and the right next check, Harvey helps teams:

• Get to the root cause faster
• Reduce alert fatigue by focusing attention on what matters
• Standardise investigations across shifts and teams
• Lower the barrier for newer analysts (without lowering standards)

This is particularly relevant for public sector and regulated industries (including government and NHS contexts) where teams need both speed and defensibility in the process. (secqube.com)

Investigate: KQL-free triage and threat hunting without dumbing it down

The skills gap in SOCs is real, and KQL often becomes a bottleneck. SecQube’s Investigate tool is built to remove that bottleneck by generating the queries needed for investigation without requiring the user to write KQL manually. (secqube.com)

That matters because it changes the SOC’s operating model:

• Your best people stop spending time on repetitive query crafting
• Your developing analysts can follow a guided, consistent investigative flow
• Threat hunting becomes a practical habit, not an aspirational project

SecQube has also clearly framed this in its threat-hunting approach: enabling investigation-based hunting even when KQL expertise is limited. (secqube.com)

Multi-tenant reality: why MSSPs need a different operating system

If you run SOC services across multiple clients, the problem isn’t only detection—it’s workflow orchestration:

• Who owns the incident?
• How is change tracked?
• How do you prove what happened and when?
• How do you keep tenants separate while maintaining efficient operations?

SecQube’s platform is designed for multi-tenant environments, with integrated workflow elements such as ticketing and change management, and it supports partner-led delivery models (including white labelling). (secqube.com)

For MSSP leaders, this is the difference between “we can technically support Sentinel” and “we can scale Sentinel operations profitably”.

From reactive to proactive: where agentic AI fits (and where it must be governed)

The industry is moving fast towards more autonomous, “agent-like” security operations. The opportunity is clear: faster triage, richer context, and better prioritisation. The risk is also clear: inconsistent outcomes, overreach, and unclear accountability if autonomy outpaces governance.

The most practical path for leadership teams is to adopt AI that:

• Accelerates human decisions, rather than replacing ownership
• Keeps investigation steps auditable
• Operates inside defined guardrails (especially for regulated sectors)
• Improves consistency as much as it improves speed

SecQube’s emphasis on guided workflows and operational simplification aligns with this pragmatic approach—AI that makes your SOC more controllable, not less. (secqube.com)

If you’re a CIO, CISO, or CFO evaluating “AI SOC” claims, prioritise solutions that improve repeatability, auditability, and time-to-value—not just model sophistication.

What ROI can look like when triage time collapses

The fastest way to make AI real for executives is to anchor it in measurable outcomes. SecQube’s own impact examples (shared for case-study development) show what happens when manual triage becomes AI-driven:

• A MSSP reduced triage time from 40 minutes to ~90 seconds, contributing to an 85% reduction in SOC workforce costs (7 analysts down to 1) while improving responsiveness.
• A healthcare analytics provider used SecQube to benchmark its MSSP and ultimately removed underperforming providers, reporting a net monthly cost reduction of $10k after paying for SecQube.

These are not “nice-to-have” metrics. They are operating model changes.

A practical adoption plan for Sentinel leaders

If you already run (or are moving towards) Microsoft Sentinel, a sensible rollout approach is:

• Start with a high-noise incident category  
  Pick one or two incident types that consume the most analyst time.
• Standardise the investigation path  
  Define what “good triage” means: required pivots, evidence, and closure notes.
• Introduce Harvey + Investigate to remove bottlenecks  
  Use conversational investigation and automated query generation to cut time-per-incident. (secqube.com)
• Measure what the board cares about  
  Track MTTT/MTTR reduction, escalation rates, and analyst hours saved per week.
• Scale to multi-tenant operations (if you’re an MSSP)  
  Move from “tooling per tenant” to a consistent operating system across customers. (secqube.com)

The shift that matters most: security that works for humans

The future SOC isn’t just “more AI”. It’s less friction: fewer specialist gates, less repetitive work, and more consistent outcomes.

Microsoft Sentinel provides the detection backbone. SecQube’s Harvey Portal and Investigate tool provide the operational acceleration—conversational investigation, KQL-free triage, and workflows that scale across teams and tenants. (secqube.com)

If you want to explore what this looks like in your environment, start with the fundamentals: pick one painful use case, prove time-to-triage improvements, and expand from there.

To learn more about SecQube and Harvey, visit SecQube.