Agentic Assisted SOC

The adversary now has AI. Your analysts cannot afford to spend their day on noise.

A managed security operations service for Microsoft Sentinel. Agents investigate every incident, day and night, and close the ones that are benign. Anything genuine is escalated with the evidence and held for your sign-off, so your analysts only work the incidents that need a person.

Talk to us See the evidence

A short call, at no cost, confirms fit. If it does, the usual next step is a paid pilot on a live slice of your own queue, so the price you get is quoted against your incidents, not a model.

The pain

The queue has not changed. The attacker has.

A security queue is mostly noise wrapped around a small amount of signal, and every alert takes time to check. That was survivable when an intrusion took days to unfold. It is not survivable when it takes minutes.

01

The attacker moves in minutes. The queue moves in shifts.

An incident raised at 2am waits for the morning. An incident raised at 4pm on a Friday waits for Monday. The adversary's tooling does not wait for either.

02

Too many alerts forces shortcuts, and shortcuts miss things

To survive the queue, teams close by severity, trust the alert's own summary, or lean on an automation to close the low ones. Depth falls as the queue rises, and the wrong closures go unnoticed.

03

Your best people spend their day on noise

The analysts who could investigate a real compromise properly are spending their hours confirming that routine activity is routine. The skill is there. The time is not.

The honest problem

The two usual answers both fail. There are not enough analysts to hire, and the queue grows faster than a team can. Automating the closing is worse: in one week we re-checked every incident an automation had closed as benign on one estate, and 13 of 31 were genuine compromises. Every incident needs the depth of a person, at a scale no team can staff.

Why now

The adversary is already using AI, and the queue has not caught up.

Three measurements of the speed your queue is now up against.

89%
rise in operations by AI-enabled adversaries in 2025, year on year.1
29 min
average time from first access to lateral movement in 2025, 65% faster than 2024. In one intrusion, data was leaving within four minutes.1
88%
of observed exploitation of vulnerabilities with a public proof of concept happened within 48 hours of its release.2
What the wider evidence says

IBM's 2025 breach study found that organisations using AI and automation extensively across security operations shortened the breach lifecycle by an average of 80 days, and that 16% of the breaches it examined involved attackers using AI.3 The National Cyber Security Centre agrees, assessing that "there will almost certainly be a digital divide between systems keeping pace with AI-enabled threats and a large proportion that are more vulnerable".4

The promise

Agents take the noise. Your analysts take the judgement.

Agents do the part of the work that eats analyst time: investigation, correlation and writing up the evidence. Every incident is reconstructed from your raw sign-in, directory, audit and mail data, the same way every time, at any hour. A person judges, authorises and is accountable.

Every incident, at full depth, 24 hours a day

No sampling, no closing by severity, no trusting the alert's own summary. Agents pick up each incident the moment it is raised, with no rota and no wait for a shift to start, so response times can be written into a contract.

Genuine compromises held for your sign-off

We never close a genuine compromise. It is escalated with the full evidence, analysis, timeline and verdict on the incident itself, and held for a person to act on.

Two ways to run it, and you can move between them

Fully Managed: we investigate and close the routine incidents, with any containment decision made jointly, because that call belongs with you. Hybrid: we investigate and write the verdict, and your team takes it from there with the evidence already assembled.

Priced on the incidents we work

Not your headcount, your devices or your data volume. If an incident is not raised, you are not billed for it, and a quieter queue costs you less, so tuning it is in our interest as well as yours.

What this is not

It is not a replacement for your team. It is the part of the work your team should never have had to do, taken off them, so the people you have can spend their time on the incidents that need a person. Nothing changes in your estate without one approving it.

The proof

Evidence, not adjectives.

Our own outcomes from real engagements, anonymised. Every figure is measured on a customer's own data before we quote it.

275 of 291
incidents on one estate closed by the agents. Only 16 needed an analyst's attention, 7 of them escalated as potential compromises.
2 of 90
incidents in one review were genuine compromises, both contained. The other 88 were investigated and evidenced by the agents.
2,400+
analyst hours a year handed back across two customers by tuning the queue, with about 13,200 unnecessary alerts a year removed.
A customer example

In a review of 90 incidents, 2 were genuine compromises, both contained, 15 were real attacks that had already been fully blocked, and 71 were routine activity. All 88 still had to be investigated to be sure, and that is the work the agents took on, so the analysts' time went on the two that mattered.

How it works

Start with your real queue, not a demonstration.

Pilot

A short paid pilot on a live slice of your incident queue. Every incident in it is investigated and evidenced, and you see the working on each one.

Choose the handover

Fully Managed or Hybrid, with the handover point set by you. A per-incident price is quoted against your actual queue, not a model.

Run it, and tune it

The service runs continuously, hunting for what never alerted and tuning the queue so it gets smaller every month. Nothing in your estate changes without your approval.

Talk to us

Put a live slice of your queue in front of us.

Tell us what you run and we will come back to arrange a short, no-cost call. If we do not think the service fits your estate, we will tell you that too.

  • A short call to confirm fit, at no cost and no obligation.
  • A per-incident price quoted against your own queue, never a model.
  • Your details are used to contact you about this enquiry only.
Please tell us your name.
Please enter a valid work email address.
Please tell us where you work.
Not sure is a perfectly good answer. Measuring it is part of the pilot.

We reply within one working day.

Mock-up only, nothing was sent

This is the payload the page would POST to the Azure Function once wired up:


        

      


      

        
        
Thank you, that is with us.

        
We will come back to you within one working day to arrange a short call.

      

    

  







  

    
The queue will not get quieter on its own. The adversary will not get slower.

    
A short call is enough to tell whether this fits your estate. If it does not, we will say so.

    Talk to us
  






  

    
References

    
Where the third-party figures come from

    
    
      
  1. CrowdStrike, 2026 Global Threat Report, observation period 2025. crowdstrike.com/en-us/press-releases/2026-crowdstrike-global-threat-report/
    2. 
      
  2. CrowdStrike, 2026 Threat Hunting Report, August 2026, observation period first half of 2026. crowdstrike.com/en-us/press-releases/crowdstrike-2026-threat-hunting-report/
    3. 
      
  3. IBM, Cost of a Data Breach Report 2025, July 2025. newsroom.ibm.com, 30 July 2025
    4. 
      
  4. National Cyber Security Centre, Impact of AI on cyber threat from now to 2027, May 2025. ncsc.gov.uk/report/impact-ai-cyber-threat-now-2027
    5.