Copilot for Security, put in the hands of a SOC that already lives in KQL.
- 20+Copilot Security tenants
- KQLCo-authoring
- 40-60%Triage time saved
- 24/7SOC integration
Six places the AI layer earns its keep.
Writing up incidents
An incident spanning Defender, Sentinel and Entra comes back as readable narrative rather than three consoles worth of evidence. On a major incident that is half an hour to an hour returned to the analyst, taken off documentation, briefings and the emails leadership asks for.
Getting to a working query
Describe what you want to see, in English, and get KQL back that runs. Ask for failed sign-ins from addresses never seen before over the past day and the query arrives ready. It shortens the learning curve for newer analysts and saves keystrokes for the ones who could have written it anyway.
Threat-intel synthesis
Research on the actor, analysis of the indicators, and a read on which malware family you are looking at. It draws on Microsoft Threat Intelligence and on what your own tenant has recorded, in the same answer.
Response recommendations
Each incident arrives with proposed next steps and the reasoning behind them. Tier 1 moves faster, a senior analyst still signs off, and the log records both what was recommended and what was actually carried out.
Investigation workflows
Prompts and flows built around your sector and the threats that actually target it, on top of a library we have already validated against the investigation patterns every SOC repeats.
Audit and governance
Purview captures every exchange. Prompts and responses touching sensitive material fall under your data protection policies like anything else, which leaves you with an evidence chain an auditor will accept.
Why organizations hand us this particular deployment.
50+ Sentinel tenants
Copilot rests on Defender XDR and Sentinel, so the foundation has to be sound before the AI layer is worth anything. We have written KQL detection libraries for banks, hospital groups and retailers, and that pattern recognition carries across.
Prompt engineering discipline
The prompt libraries we ship have been tested against real workflows before they reach you, extended for the threats your sector sees, and kept under version control like any other code.
SOC workflow integration
Copilot goes inside the workflow your SOC already runs rather than sitting alongside it. Access to prompts differs by tier, from Tier 1 through to the incident response engineers, and every handover point between them is written down.
24/7 SOC operations
The deployment and the ongoing operation are handled remotely by senior analysts for organizations across the United States. The engineers who build your prompt library are the same ones writing your KQL detections.
Sectors where this is already running.
Financial services
Firms answering to the SEC and to NYDFS Part 500 use it to compress the incident response work regulators require, and to turn audit trails into evidence summaries an examiner can read.
Tech and SaaS
Software companies use it to write up incidents inside their own applications and to get hunting queries running against application logs faster than a human could compose them.
Healthcare
Hospitals and physician groups use it for incident write-ups that stay conscious of protected health information, and to shorten the containment window when ransomware appears.
Professional services
Law firms run incident analysis through it without breaching matter confidentiality, and use it when investigating anything that touches client data.
Critical infrastructure
Utilities and large operators use it across the OT and IT boundary, and to produce response evidence that lines up with the NIST Cybersecurity Framework.
Managed-security clients
Organizations already on our managed SOC get the benefit without running the project: quicker response, fuller documentation, and a stronger audit trail behind both.
What changes once the AI layer is on.
| Feature | Working SOC, no AI Manual workflows | Copilot-augmented SOC AI-accelerated |
|---|---|---|
Incident-summary writing time | 30-60 min | 5-10 min |
KQL query authoring (junior analyst) | Slow, error-prone | Faster, validated |
Threat-intel synthesis | Manual research | Accelerated |
Tier-1 triage throughput | Baseline | 40-60% higher |
Senior analyst time on documentation | High | Low |
Audit-trail completeness | Variable | Consistent |
Per-analyst cost (mid-size SOC) | Baseline | Higher, returned on triage volume |
From SOC workflow assessment to managed Copilot operations.
- 1
Workflow assessment
1-2 weeks
We audit how your SOC actually works, check the state of Defender XDR and Sentinel underneath it, and take an honest read on analyst skill levels. You get a deployment plan and an agreed scope for the prompt library.
- 2
Deployment
3-5 weeks
Copilot goes live, the integrations into Defender XDR and Sentinel are proven rather than assumed, the prompt libraries land, and the analysts are trained on them.
- 3
Validation
1-2 weeks
We replay past incidents through the prompts, measure how accurate the output is, and set the baseline metrics adoption will be judged against.
- 4
Operate
Continuous
A prompt engineering review each quarter, library updates as the estate changes, adoption tracked per analyst, and a monthly report on what the tooling is actually returning.
Microsoft Copilot for Security, frequently asked.
Resources for SOC leads.
Microsoft Sentinel
The SIEM and SOAR layer underneath everything Copilot does. Detection engineering in KQL, automated response, and SOC operations run as a service.
Microsoft Defender
The alerts and incidents Copilot writes up all originate here. Endpoint detection and response, identity, email and cloud application coverage in one product family.
Cybersecurity audit
An independent read on where your SOC stands. We review detection coverage, validate the prompt library, and hand back a written remediation program.
Talk to a SOC AI specialist.
The form takes about three minutes. Our security team replies the same business day to book a discovery call, and part of that call is a straight answer on whether the foundation in your tenant is strong enough for Copilot to be worth the spend.
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