Connect to the cloud
Hybrid and multi-cloud estate management
Most organisations now run critical workloads in cloud. Far fewer designed the connection those workloads depend on. We make it a managed, secured and continuously assured part of the estate – consistent across AWS, Azure and Google Cloud.
Your cloud got designed.
The connection to it didn't.
Most organisations have moved meaningful workloads to cloud. AWS, Azure, GCP. Sometimes one, often several. Applications, data and services that the business now depends on, running outside the four walls that used to define the network.
The workloads themselves are usually well-designed. The cloud team has done its work. The environments are up. The business is running on them.
But the connection back to the rest of the business often wasn’t designed. It was deferred, defaulted, or left to evolve. In most cases the answer is “it goes over the internet.” It works. Until a workload scales, an auditor asks, or a performance incident exposes the fact that nobody owns the path.
What happens when the connection
is nobody's responsibility
The symptoms rarely look related.
Application performance is “fine, mostly,” with occasional slowdowns no one can root-cause because there’s no telemetry on the path. A migration programme stalls because connectivity wasn’t planned alongside the workload, and now nobody owns the question of how the cloud reaches the rest of the estate. An auditor asks how data moves between your cloud environment and your on-premise systems and the answer is hard to evidence. A health technology company or a GovTech ISV realises their cloud-hosted product can’t reach NHS or government customers without a connection to HSCN or PSN.
The connection is the bit that wasn’t designed. It’s also the bit that, once designed properly, opens transformational value.
Where the conversations usually start
A path that was deferred and is now urgent.
The environment went up over public internet and it worked. Then a workload scaled, a security review asked what was actually happening on the path, or a migration reached the point where the connection back to the estate could not be postponed any longer.
An existing connectivity programme that didn't plan for cloud
An SD-WAN, HSCN, PSN or DC Interconnect engagement that’s surfaced the cloud endpoint as an unaddressed gap. The wider programme can’t complete until the cloud part of the path is built.
A technology company needing to reach a regulated network
A health tech or GovTech ISV with a cloud-hosted product. The commercial requirement is to reach NHS or government customers. That requires a compliant connection from cloud to HSCN or PSN. Without the connection, the product can’t reach its market.
AI workloads with no governed path
AI-enabled applications create new data flows between cloud and on-premise systems, with volumes and sensitivity the existing connection wasn’t designed for. No SLA on the path. No inspection of what’s moving. No evidence of where the data has been.
A compliance question at the cloud boundary.
DSPT, CAF, ISO 27001. Assessors are increasingly asking for evidenced controls at the boundary between cloud and on-premise, not just at the perimeter. The next assessment is approaching and the answers need to hold up.
Multi-cloud is not harder.
It is just less consistent.
Most organisations did not decide to run multi-cloud. They arrived at it: a team chose AWS, a supplier turned up on Azure, an acquisition brought GCP. Each connection was reasonable on its own. Together they are three designs, three sets of controls, three support routes and three ways of answering the same question.
One
connection model.
Native connections through AWS Direct Connect, Azure ExpressRoute and Google Cloud Interconnect, to one standard.
One
security boundary.
The same policy applied at every cloud edge, so a control that exists in one environment is not missing in another.
One
operational owner.
A performance question about any one of those paths has a single place to go, whichever provider is at the other end.
One
source of truth.
Change, incident and path records in one place, so a question about cloud to on-premise data has one answer.
Let's Connect
Cloud
Connect
Managed private connectivity between your cloud environments and the rest of your estate. Native connections through AWS Direct Connect, Azure ExpressRoute and Google Cloud Interconnect, with managed VPN where appropriate. Monitored, governed and operated as part of the wider platform.
Add what you need, when you need it
Data Centre
Interconnect
For cloud environments connecting back to data centres during migration programmes.
Managed
SD-WAN
For cloud connectivity that has to reach sites, branches or a wider network estate.
Secure
Remote Access
For cloud environments that need to be reached by users connecting from anywhere.
Secure Internet
Access
For inspecting and controlling internet egress that runs alongside the cloud path.
Healthcare and Government
Networks
For organisations whose cloud-hosted product needs to reach regulated networks.
Managed
Firewall
For securing and governing traffic at the cloud boundary.
For services people depend on.
We are built for consequence, trusted by organisations responsible for national security, frontline healthcare, emergency response and public trust.
Common questions about
cloud connectivity
Whose responsibility is the connection between our cloud and everything else?
In many organisations, responsibility is split (or lost) between cloud teams, network teams and one or more suppliers, with no single owner. That grey area is where cost, risk and gaps in accountability tend to accumulate. Consolidating private cloud connectivity under one managed service resolves this issue.
Will our current cloud setup support AI and heavier workloads?
Often the compute is ready before the connection is. AI and data-heavy workloads change the volume, latency and assurance you need from the path into cloud, so it is worth pressure-testing the connection before the workload lands, not after.
We're operating multi-cloud. Does that make this harder?
It makes consistency the issue. Different providers, connections and controls become several things to run separately. One platform across AWS, Azure and Google Cloud turns that back into one thing to manage and evidence.
Connect. Protect. Observe. Operated as one.
Get your regulated connectivity right first time.