You do not have a tool problem,
you have a chain problem.
Intelligence Services answer the questions that run across systems: what happened, is this figure right, is the service working, what does it cost, and what is still open. There is rarely too little data, there are too many places where it sits and too few people responsible for the answer. That part is what we take on.
The auditor’s question waits until November.
The ops question is answered by one team, the security question by another, and the compliance question by nobody, until it has to be. Three departments looking at the same events, each with their own export and their own truth.
One stream, three kinds of question.
The same normalised events answer the operations question, the security question and the compliance question. Connect once, clean up once, use three times. That is the whole idea behind this layer.
We do not sell a product, we bring sources together. A product solves the part it can see; a chain needs someone who looks beyond their own box.
- Operations, what broke, who noticed first, did we meet the agreement?
- Security, was this an attack, who looked inside, what was taken?
- Compliance, who did what, when, and where is the evidence?
- Finance, what does this source cost, and what if volume doubles?
Where you can start.
Each domain stands on its own and has its own page. You never have to take one you do not need, and never more than the next.
Audit, Compliance & Governance.
Who did what, when did it happen, and what evidence exists? Evidence created at the moment of action, not when the auditor calls.
Read more →Security Intelligence & SIEM.
We build and run the SIEM and the detection logic, so your SOC analysts get to spend time on detection and operations instead of platform maintenance.
Read more →Observability.
End-to-end service monitoring: from the user’s click to the last hop in the chain, built on metrics, events, logs and traces.
Read more →Business & Service Intelligence.
KPI, SLA and customer reporting that fills itself, with figures you can click through to the event underneath.
Read more →Cost & Capacity Intelligence.
Which source costs what, which department causes it, and what does expected growth mean for your licence?
Read more →Managed AI Services.
AI on machine data: assurance, an intelligence layer and agents that work within your boundaries. Layer 7 of the model.
Read more →Governance you only miss once it is gone.
Provenance per source, a retention period with an owner, and a dictionary of your fields. Dull until the day someone asks where a figure came from.
- One point of contact for the whole chain: onboarding, data quality, use cases, follow-up
- Every figure clickable through to the event underneath, otherwise it is an assertion
- Every quarter we add what is needed and remove what no longer earns its place
- Grow at your own pace, layer by layer, without taking the whole model
One process drops below target, and the cause sits outside your own walls. That is exactly the conversation you want to have with your supplier, with numbers attached.
Usually with a question that has been sitting for months.
The new cybersecurity act.
NIS2 asks for evidence, not a policy document. You only make a 24-hour reporting deadline if the timeline is already there.
Read more →Customer stories & use cases.
What other organisations solved with these services, and which question they asked first.
Read more →Health check.
Five days, fixed price, a report with findings and an order in which to tackle them.
Read more →Which question would you like tobe able to answer?.
Bring one to a two-hour session. Usually half the answer is already in your own data.