Managed Detection & Response
MDR that's built around your business, not ours.
Attacks move faster than a purely manual security operation can investigate. We use AI to shorten the time from the first suspicious signal to a safe, informed response across your estate — with named Nordic analysts accountable for the outcome, and everything we build staying yours.
Service at a glance
- Coverage
- 24/7/365, Nordic-staffed
- SOC
- Run by our own analysts in Malmö and Stockholm, Sweden
- Pricing
- Tailored to what you already run; the price goes down as your own defences improve
- Platforms
- Your existing XDR/SIEM
- Certification
- ISO/IEC 27001
- Answered in
- < 60 seconds
- Endpoints covered
- 400,000+
- Reporting
- Executive + technical, every case
The evolution of MDR
Most MDR was built for the provider. This one isn't.
The past · legacy MDR
- Limited detection, with only endpoint data
- Little or no transparency into the work
- Doesn't improve your security posture
- No support for detections built around your business
- Delivered through a generic ticketing system
The future · NextGen MDR
- No restriction on the detection platform you own
- What is built for you, stays yours
- Continuous improvement included as standard
- Drives detections customised to your environment
- Delivered through a purpose-built collaboration platform
Detection & response services
Start with MDR. Add depth when you need it.
Shared team · 24/7/365
MDR
The core service: your queue watched every hour of the year by named Nordic analysts.
- Monitoring & triage
- Threat analysis
- Response actions
- Reactive threat hunting
- Continuous improvement
Dedicated resources
MDR+
For teams who want to close the detection gap and drive improvement, but lack the hands to do it.
- Proactive threat hunting
- Detection engineering
- Projects, playbooks & automation
- Staff augmentation by Sciber
- On-site engineer as an option
IR team · escalation path
Incident Response
When a case becomes a crisis, the CSIRT team takes over with the full history already in place.
- Incident response lead
- CSIRT team
- IR readiness assessment
- Table-top exercises
- Handover straight from MDR
Continuous improvement and client success management run across all three — the thread that ties the service together.
Detection engineering
From one-size-fits-all to fitted to you.
Unlike traditional MDR, our detections go through a process: define the use case, identify the data source, onboard and normalise the data, build and verify the rules, then monitor and tune them. Four layers, each doing a different job.
Custom detections
Jointly developed by Sciber and your team, focused on behaviour in your environment.
Sciber detections
Developed by Sciber detection engineering, with transparent and measurable outcomes.
Customer detections
Client developed detections. They stay yours, and we run and tune them with you.
Vendor detections
Standard detections from the SIEM / XDR provider — the baseline everyone starts with.
- 01
Use case
- 02
Data source
- 03
Onboard
- 04
Build & verify
- 05
Monitor & tune
Threat hunting
Two ways to start a hunt.
Reactive threat hunting
Triggered by an event — event-driven.
- Internal: a SIEM or EDR alert, a suspicious login, anomalous activity
- External: new threat intel, a vendor advisory, a third-party notification
- Goal: validate, scope and respond to suspicious activity quickly
Proactive threat hunting
Built around a scenario — hypothesis-driven.
- Known attacker techniques, high-value assets, likely attack paths
- Form a hypothesis, search for weak signals, improve detections
- Goal: find hidden threats before an alert or an incident occurs
Every MDR customer gets reactive hunting as part of the 24/7 service. Proactive, hypothesis-driven hunting — and the new detections it produces — is part of MDR+.
AI SOC agents
Less time from signal to safe action.
With access to the security data and context you approve, AI can correlate activity across your environment, enrich alerts, set aside likely noise and prepare an investigation before an analyst begins their review — so our experts spend their time on the incidents where experience and judgement matter most.
Agents run in parallel with our analysts on the same incidents, so we can measure and follow up their quality case by case.
Automated incident handling and response
When triggered, the agent team fetches every open incident from your detection platform and works it as a team — one agent scopes, one collects evidence, one writes the record.
- Pull all currently open incidents from the connected platform
- Investigate and document each incident step by step
- Reusable methodology, so knowledge compounds instead of leaking
- Resolution written into the incident before it is closed
- Response actions taken where containment is needed
What this gives you: faster investigation and containment, and fewer irrelevant escalations reaching your team.
Continuous documentation and improvement
Every analysis produces lasting artefacts as well as an answer. Customer-specific playbooks and the improvement list get better each time an incident is worked.
- Customer-specific playbooks updated with what actually worked
- Incident documented against the four W's: who, what, where, when
- Improvements logged in the Sciber Platform and followed up monthly
What this gives you: clearer incident information, and detection coverage that is designed to improve case by case.
Threat hunting in your environment
On instruction, the same methodology is turned outward — hunting for what detections have not yet caught.
- Hypothesis-driven hunts across the estate
- Identical documented methodology as incident work
- Findings verified and fed back into detections
What this gives you: analyst time spent on the cases where experience and judgement actually matter.
What you decide AI may do
Access is not one unrestricted decision. You approve each level separately, and each one comes with the control that keeps it accountable.
Read & analyse
Access the telemetry, asset data and historical cases you approve.
Correlation across your environment, and faster investigation.
Control: Purpose limitation, access control, retention and residency rules.
Recommend
Propose classifications, investigation steps and response actions.
More consistent decisions, whoever is on shift.
Control: Explainable evidence, validated by a Sciber analyst.
Act
Execute containment actions you have pre-approved.
Machine-speed response, and a smaller attack impact.
Control: Explicit action policy, audit trail, rollback and human escalation.
High-impact decisions remain with a Sciber analyst whichever level you grant, and AI-supported actions and conclusions are recorded so they can be reviewed.
How we measure it
We report the value in security outcomes we follow together with you — not in how much AI was used.
- Time to investigate
- Time to contain
- Alert quality
- Response accuracy
- Detection coverage
Humans hold the mandate
Agents work the queue; Sciber analysts own escalation, judgement calls and every high-impact decision. AI supports the analysts — it does not remove their accountability.
Data access, residency and retention
What AI may read, where that data is processed and how long it is kept are agreed with you before anything is connected.
Model usage and permitted actions
Which models are used, and which response actions AI may take, are set by an explicit policy — not decided case by case.
Recorded so it can be reviewed
No silent automation. Every AI-supported step, query, action and conclusion lands in the incident record in your own tenant.
Quality at scale
Scale without diluting quality.
Most security operations centres grow by adding people, and quality drops as experience is spread thinner and more coordination is needed (Brooks' Law).
Sciber grows differently. Our senior experts work with AI support, so they can handle more cases themselves rather than handing the judgement to junior staff.
Elite team
Senior analysts and engineers own every investigation and every decision.
Customer-first by design
We work in your tools and ticketing, and what we build for you stays yours.
Continuous improvement
Every case feeds better detections, playbooks and AI quality checks.
Client success management
A working session, not simply a monthly recap.
Insights you can action
We highlight what matters most, connect the dots across your environment, and surface clear trends you can act on.
A partner, not a presenter
Your Client Success Manager reads the data in your context: what matters, why it matters, and what's next.
Built for continuous improvement
Each meeting feeds back into new detection rules and new hunting hypotheses — starting the cycle again.
Delivered in the Sciber Platform
Not a ticketing system — one shared surface for every case, every detection and every improvement.
Want to see what a documented incident actually looks like?
We'll walk you through a real, redacted case end to end — detection, method, response, and the report that landed on the board's desk.