Cybersecurity
Continuous monitoring, incident-response runbooks with a named owner for every alert class, scheduled offensive testing, and least-privilege access reviews, scoped to what a given business is actually exposed to.
CCAV
Cyber · Cloud · AI · Visualization
We secure what you run, scale where it runs, and make sense of what it tells you.
Four disciplines under one roof, for companies that would rather not stitch together four vendors.
What we do
Four practices that are usually four separate vendors.
The letters are the business. Each one stands on its own, and each one is stronger because the same team runs the other three.
Cloud
Multi-cloud infrastructure across AWS, Azure, and GCP that follows demand automatically, with tested failover and spend broken out by environment and owner so scale never arrives as a surprise invoice.
AI
Models trained on each environment's own baseline rather than an industry average, flagging genuine anomalies, forecasting capacity and cost, and triaging alerts before anyone has to read them.
Visualization
Reporting scoped to a decision somebody actually has to make. Every view answers a question a named person is already asking, instead of surfacing every metric we happen to collect.
0Core practices
0Sectors we work in
0Ways to engage
0Operating principles
Where we work
Sectors where the four practices have to work together.
We are not industry-agnostic by accident. These are the places where a security failure, a scaling failure, and a reporting failure are the same failure.
01
Financial services
Regulated environments where audit trails, access control, and uptime are not separable concerns, and where every change has to be evidenced.
02
Healthcare
Patient data under strict handling rules, with clinical systems that cannot be taken offline for a convenient maintenance window.
03
Logistics
High-volume telemetry from fleets, warehouses, and partners, where a forecast that arrives late is the same as no forecast at all.
04
Software
Fast-moving product teams that need guardrails which hold up under weekly releases rather than slowing them to a quarterly cadence.
05
Manufacturing
Operational technology alongside corporate IT, where the two networks meet and the older one was never designed to be exposed.
06
Public sector
Procurement and reporting obligations that shape architecture as much as any technical requirement does.
07
Energy & utilities
Distributed infrastructure with long asset lifecycles, where remote monitoring and physical resilience have to be planned as one.
08
Professional services
Client confidentiality as the core obligation, with a workforce that is mobile by default and rarely inside one perimeter.
How we work
Three phases, every engagement.
01 · Assess
Map the surface
Audit infrastructure, exposure, and data sources before touching anything, so what we recommend is grounded in your estate rather than a generic checklist.
02 · Build
Harden and instrument
Close the gaps, stand up monitoring, and wire the systems that will eventually feed the models and the dashboards.
03 · Operate
Run and refine
Ongoing monitoring, model retraining, and reporting, with one dashboard as the shared source of truth for everyone involved.
Engagement models
Four ways to start, depending on what you already know.
Most clients begin with an assessment and move into a managed relationship. None of these require committing to the next one.
Assessment
A fixed-scope review of your current estate (exposure, architecture, data sources, and reporting), ending in a written set of prioritised recommendations you own outright and can hand to anyone.
Build
A defined project with a start and an end: close a specific set of gaps, migrate a workload, stand up monitoring, or ship the first working dashboards. Delivered against agreed acceptance criteria.
Managed
An ongoing relationship covering monitoring, response, infrastructure operations, model retraining, and reporting, with a named point of contact rather than a shared ticket queue.
Advisory
Retained access to the practice leads for teams that have their own engineers and need a second opinion on architecture, vendor selection, or an incident, without handing over operations.
The stack
We work in the tools you already run.
This is the ground we cover most often. Where a client runs something else, we learn it rather than argue for a migration.
AWS
Azure
GCP
Kubernetes
Terraform
Docker
Postgres
Snowflake
Kafka
Grafana
Prometheus
Elastic
Python
Go
PyTorch
dbt
Why CCAV
Three things clients tell us matter most.
01
One team, four disciplines
No handoffs between a security vendor, a cloud consultant, and a BI shop. The people who secure your stack are the people who visualize it.
02
Built on what you already run
We integrate with the cloud accounts and tooling you have, rather than asking you to migrate onto a platform we happen to own.
03
Decisions, not raw data
Every dashboard is scoped to a decision someone has to make, not a dump of every metric that could be collected.
Operating principles
How we behave when nobody is watching.
01
Findings before recommendations
We show what we found and how we found it before we tell you what to do about it. You should be able to disagree with the conclusion and still trust the evidence.
02
No proprietary lock-in
Everything we build runs on tooling you could hire someone else to operate. If leaving us would be painful, we have designed it wrong.
03
Alerts a human will actually read
An alerting system that cries wolf is worse than none, because it teaches people to ignore it. We tune for signal and accept missing the trivial.
04
Plain language in writing
Reports, incident notes, and recommendations are written so a non-specialist executive can follow them without a translator on the call.
05
Say what we do not know
Uncertainty gets stated as uncertainty. A confident number with no basis is more dangerous than an honest range.
06
The same team throughout
The people in the assessment are the people in the build and the people on the call at 3am. No handover to a delivery team you have never met.
Insights
What the practice leads are thinking about.
Notes from the work. Placeholder entries in this build.
Questions
The things people ask before they start.
No. Most clients start with one (usually security or cloud) and add the others when there is a reason to. The argument for taking more than one is that the same team already understands your estate, not that the bundle is cheaper.
It depends on the size of the estate and how much documentation already exists. We scope it before we start and quote a fixed fee, so the answer is agreed in writing rather than discovered as we go.
Usually, yes: that is the common case. The advisory model exists specifically for teams who want a second opinion and intend to keep running things themselves. We do not require taking over operations.
You keep it. Infrastructure is defined in code you own, dashboards run on tooling you hold the licence for, and documentation is written for a successor rather than for us. Handover is part of every engagement, not an exit fee.
Under a managed engagement, yes, with agreed response times and a named point of contact. Under build or advisory, escalation paths are defined but your team stays first responder.
Whichever one you already run, in almost every case. Migration between providers is expensive and rarely pays for itself on technical grounds alone. Where there is a genuine reason to move, we will show the arithmetic.
Contact
Tell us what is on fire, or what soon will be.
A short description of the situation is enough to start. We will come back with whether we are the right people and what a first step would look like.