.svg)
.png)
Security teams love the visibility Microsoft Sentinel delivers—but many SOCs still hit the same bottleneck: effective investigation too often depends on specialist KQL skills, tribal knowledge, and time-consuming playbooks.
Harvey AI by SecQube changes that equation. It enables KQL-free Sentinel triage by generating bespoke, step-by-step guidance for each incident, so analysts can investigate with confidence—without writing queries from scratch.
Why KQL is still a barrier in day-to-day SOC operations
KQL is powerful. It’s also a steep learning curve when your SOC is juggling a queue of incidents, limited headcount, and an ongoing skills gap.
In practice, that creates familiar friction:
- Analysts spend time translating “what to check” into KQL instead of validating threats.
- Junior responders hesitate, escalate early, or miss important context.
- Senior analysts become the “human query engine”, slowing down the entire team.
- MSSPs struggle to standardise investigations across tenants and customer environments.
Microsoft Sentinel SOC automation shouldn’t require every analyst to be a query author. It should make the right next step obvious.
What Harvey AI does differently: bespoke triage steps per incident
Harvey AI is a conversational, AI-guided assistant embedded into the SecQube platform for Microsoft Sentinel operations. Rather than offering a generic checklist, Harvey AI generates incident-specific triage steps based on the alert context and investigation goals.
That means each incident can come with a clear path, such as:
- Identify the entities involved (users, hosts, IPs, applications)
- Validate whether the behaviour is anomalous or expected
- Check supporting evidence across relevant data sources
- Confirm scope and potential impact
- Recommend containment and next actions aligned to the process.
The key point: the analyst doesn’t need to know KQL to know what to do next. Harvey AI turns investigation intent into actionable steps, helping teams stay consistent under pressure.
KQL-free doesn’t mean “black box”: it means guided, explainable investigations.
“KQL-free triage” isn’t about removing technical depth—it’s about making that depth accessible.
Harvey AI supports investigation work in a way that keeps the analyst in control:
- Conversational prompting to clarify what the analyst is trying to validate
- AI-guided resolution processes to reduce guesswork in early-stage triage
- Structured steps that reduce missed checks and improve handovers
- Consistency across shifts, teams, and customer tenants
This is especially valuable for organisations onboarding new analysts or expanding SOC coverage without expanding specialist hiring at the same rate.
Built for Microsoft Sentinel: seamless integration without operational disruption
Harvey AI is designed around Sentinel-first workflows rather than forcing analysts to jump between disconnected tools.
In practical terms, this means your team can:
- Triage Sentinel incidents with guided steps aligned to how SOCs work
- Move from alert review to investigation to outcomes without losing context.
- Standardise triage across teams while still handling incident nuance
If you’re aiming for KQL-free Sentinel triage at scale, the experience must fit into the way analysts already operate—Harvey AI is built for that reality.
Azure Foundry-powered assistance, with enterprise-grade controls in mind
Harvey AI leverages Azure Foundry capabilities to support investigation guidance and workflow automation—helping security teams reduce manual effort and accelerate decision-making.
At the same time, enterprise buyers and regulated industries need more than speed. They need clarity around where data is processed, where it resides, and how deployments align with internal and external requirements.
That’s why SecQube supports US/EU data residency options, helping organisations align deployments with regional and contractual obligations.
Data residency needs vary by organisation and sector. Always validate your specific compliance requirements and deployment architecture with your security and governance teams.
Rapid onboarding and scalable operations via Azure Lighthouse
Whether you’re an enterprise security team managing multiple subscriptions or an MSSP running many customer environments, speed-to-value matters.
SecQube supports rapid deployment and ongoing monitoring using Azure Lighthouse integration, enabling:
- Faster rollout across distributed environments
- Centralised visibility without sacrificing tenant boundaries
- A practical operational model for multi-subscription and multi-customer security
For MSSPs, this becomes a foundation for a consistent AI SOC platform for MSSPs—with operational controls that don’t collapse under tenant sprawl.
From triage to process: built-in ticketing and change management
Triage is only one part of the SOC lifecycle. The real pain often shows up in handovers, evidence capture, approvals, and follow-through.
SecQube includes a multi-tenant security portal with built-in ticketing and change management, so teams can operationalise outcomes rather than investigate alerts.
This helps you:
- Track investigation actions and decisions in one place
- Standardise workflows across teams and tenants
- Reduce tool switching and “lost in chat” incident updates.
Traditional triage vs Harvey AI-guided KQL-free triage
Harvey AI is not just a productivity feature—it’s a capability shift.
For SOC leaders, it supports:
- Faster triage without sacrificing rigour
- Better utilisation of junior analysts
- Reduced dependency on scarce KQL expertise
- More predictable and repeatable incident handling
For MSSPs, it supports:
- Standardised delivery across tenants
- White-label friendly operations and customer experience
- A scalable model for Microsoft Sentinel SOC automation without constant hiring pressure
Next step: see Harvey AI in action
If you’re looking to make KQL-free Sentinel triage a reality—without compromising on enterprise-grade security operations—Harvey AI is built for exactly that.
Learn more about SecQube and Harvey AI on the official website: SecQube
.svg)
