On-premise / Cloud / Hybrid

On-premise, cloud, and hybrid are the three basic ways a company can run its IT infrastructure. On-premise (local) means the organization buys its own hardware and keeps it in-house — in its own data center or a leased rack. In the cloud model, it rents compute, storage, and networking from an outside provider (such as AWS, Azure, or Google Cloud) and pays for what it uses. Hybrid combines the two: some systems stay local, others run in the cloud, and the two environments are connected. The models differ mainly in cost structure (CAPEX vs OPEX), how much control you keep, how easily you can scale, and who is responsible for security.

How do on-premise, cloud, and hybrid differ?

Put simply, it comes down to who owns the hardware, who manages it, and where the data and applications physically sit.

On-premise (local infrastructure)

• Ownership and location: servers, storage arrays, and network gear sit in the company’s own data center or a leased colocation rack.
• Cost: mostly CAPEX — a large upfront spend on hardware, licenses, and cabling. On top of that come steady costs: power, cooling, staff, and a hardware refresh every few years.
• Control: full control over the hardware, the configuration, and where the data is kept. That matters where rules require data to stay within a country.
• Scalability: limited by the hardware you own. More capacity means buying and installing it, so reacting to a sudden spike takes time.

Cloud

• Ownership and location: the provider owns the hardware, and resources are delivered over the internet as IaaS, PaaS, or SaaS.
• Cost: mostly OPEX — you pay for actual usage, with no big upfront investment. The downside is that under variable or growing usage the bill is hard to predict.
• Control: less of it, because the provider manages some of the layers. An SLA defines the provider’s obligations, and dependence on a single provider (vendor lock-in) becomes a risk.
• Scalability: very convenient. Resources can scale up or down in minutes, often automatically (autoscaling).

Hybrid

• How it works: it links a local environment with one or more clouds. Data and applications go wherever they fit best in terms of performance, cost, and compliance.
• Typical split: sensitive or regulated data stays local, while variable workloads (such as traffic peaks or test environments) move to the cloud.
• The price of flexibility: running two environments and the links between them (VPN, dedicated connections such as AWS Direct Connect or Azure ExpressRoute) is more complex and costs more to manage.

What is multicloud, and how does it differ from hybrid?

Multicloud means using more than one public cloud provider at the same time (for example, AWS and Azure together). Companies do this to avoid relying on a single vendor, cut costs, or reach services they can’t get elsewhere. Hybrid is something different — combining a cloud with a local environment or a private cloud. The two aren’t mutually exclusive: an environment can be both hybrid and multicloud. In either case, the number of separate management consoles, sign-in methods, and access rules grows, so keeping the rules consistent gets harder.

What is the shared responsibility model?

The shared responsibility model spells out what the cloud provider is responsible for and what the customer is responsible for. The rule is simple: the provider looks after security of the cloud itself (hardware, hypervisor hosts, backbone network), and the customer after security of what they put in the cloud (data, configuration, identities, access control, virtual machine operating systems). Exactly where the line falls depends on the service model:

• IaaS: the customer is responsible for the most — operating system, patches, application networking, data, and identities.
• PaaS: the provider takes over the operating system and runtime; the customer is left with the application, data, and access.
• SaaS: the provider handles almost everything; the customer is mainly left with data, configuration, and identity management.

In the on-premise model, every layer is the organization’s job. A common cause of incidents is mundane: someone assumes the cloud provider is watching something that actually belongs to the customer — say, a publicly accessible storage bucket or overly broad IAM permissions.

What does security and visibility look like in each model?

From the point of view of a SOC, NDR, and network monitoring, each model needs a different approach to collecting data and detecting threats.

• On-premise: the company has full insight into its own network traffic — port mirroring/SPAN, TAPs, NetFlow/IPFIX, complete device logs. That gives a good view of internal (east-west) traffic, but all detection, correlation, and response rest on the in-house team.
• Cloud: the lack of access to hardware is replaced by provider mechanisms — VPC Flow Logs, management-layer logs (such as CloudTrail), and packet mirroring. Your insight is only as good as your logging configuration; flows that nobody monitors stay a blind spot.
• Hybrid and multicloud: this is where the biggest problem appears — visibility gaps. They come from different tools, different log formats, and different ways of managing identity (IAM in AWS, RBAC in Azure, service accounts in GCP). Configuration changes, abandoned access keys, and excessive permissions slip through easily. Unmonitored traffic between cloud and local network makes it hard to spot unauthorized access and an attacker moving across the network (lateral movement).

The takeaway is practical: it pays to collect telemetry in one place. When logs and flows from every environment land in a shared system (SIEM, NDR/CNAPP tooling) and are normalized, you can connect events from the cloud and the local network and catch dangerous combinations of misconfiguration, identities, and sensitive data that look harmless on their own.

How do you choose a deployment model?

1. Compliance and where data lives: strict regulation (finance, healthcare, public sector) often favors on-premise or hybrid for sensitive data.
2. Workload profile: variable or fast-growing workloads benefit from cloud elasticity; stable, predictable ones can be cheaper locally over the long term.
3. Full cost (TCO): count the whole lifecycle — hardware, power, staff, data transfer, and cloud egress fees — not just the upfront spend.
4. Latency and locality: systems needing very low latency or running without constant internet point to a local or edge component.
5. Security maturity: a lack of consistent visibility and people who can handle several environments at once raises the risk in hybrid and multicloud.

Learn more

• SaaS / IaaS / PaaS — These cloud service models define where infrastructure, platform, or software is hosted in hybrid IT.
• Cloud Security Posture Management (CSPM) — CSPM checks cloud configurations, which is key in cloud and hybrid environments.
• Secure Access Service Edge (SASE) — SASE combines networking and security for users and apps across cloud and on-premise setups.
• SaaS Security Posture Management (SSPM) — SSPM manages security settings for SaaS apps used in cloud and hybrid environments.
• BYOD (Bring Your Own Device) — BYOD affects access control when personal devices connect to on-premise and cloud resources.
• Inventory — Inventory helps track assets across on-premise, cloud, and hybrid environments.
• Cloud Access Security Broker (CASB) — CASB enforces security policies between users and cloud services in hybrid architectures.
• Microsegmentation — Microsegmentation limits east-west traffic across on-premise and cloud segments.