Services / 01
Security Operations
We design and build the systems a security operations centre actually runs on: the platform architecture, the telemetry that reaches it, the detection content that runs against it, and the automation that keeps all three maintainable as they grow. The emphasis is on detection that can be tested, versioned and reasoned about rather than accumulated.
The problem
Most security operations problems present as detection problems and turn out to be engineering problems. Rules accumulate faster than anyone can retire them. Coverage is asserted from a rule count rather than measured against a threat model. Content lives in a console, so it cannot be reviewed, tested or rolled back. And underneath all of it, the telemetry that detection depends on was onboarded opportunistically rather than designed.
The consequence is a SOC that grows more expensive and less legible at the same time. Adding a source is a project. Changing a rule is a risk. Nobody can answer what would happen if a given technique were used, because the question requires knowing which data exists, in what shape, with what fidelity — and that map does not exist.
Capabilities
What this pillar covers.
Grouped by the part of the system they act on.
Architecture
- SOC design & architecture
- SIEM engineering
- Splunk architecture
- SOC modernisation
- SOC observability
Detection
- Detection engineering
- Detection-as-code
- Threat detection
- Security analytics
- Risk-based alerting
Automation
- Security automation
- SOAR design
- Response workflow engineering
Approach
How an engagement runs.
The sequence matters more than the tooling. Skipping a stage moves its cost later, it does not remove it.
- 01
Assess
Establish what exists: sources, pipelines, platform topology, detection inventory, and where the operational pain actually is. Assessment is evidence-gathering, not a scoring exercise.
- 02
Architect
Design the target state and — more importantly — the sequence that gets there without a freeze. Every decision is written down with the constraint that motivated it.
- 03
Engineer
Build it: platform, pipelines, detection content, tests, pipelines and automation. Content is delivered as code, in your repository, under your control.
- 04
Transfer
Hand over with documentation, runbooks and working sessions. The measure of success is that your team can extend the system without us.
What you receive
Concrete artefacts, in your repositories and your platforms.
- Target-state SOC and SIEM architecture, with the migration path from where you are now
- A detection-as-code repository: content under version control, with tests, review and a deployment pipeline
- Detection coverage mapped against a threat model rather than against a rule count
- Risk-based alerting design — how signals aggregate into something worth an analyst's attention
- Automation for the repetitive work that otherwise caps a SOC's capacity
- Platform observability: whether the SOC itself is healthy, and how you would know if it were not
Expected outcomes
Properties of the resulting system — not performance figures, which depend on your estate rather than on us.
- Detection content that is versioned, tested and reviewable like any other software
- Coverage expressed against a threat model, with the gaps stated rather than hidden
- A platform architecture that survives the next doubling of data volume
- Fewer, better alerts — because aggregation happens by design rather than by triage
- A team that can extend the system without the people who built it