Data security, SaaS dependencies and attack surface reduction. Autonomous backend systems and controlled data flows.
Data security is often approached through attacks, vulnerabilities, or protective measures to implement.
However, a large part of a system’s security level depends on its initial structure.
The number of services used, external dependencies, and how data flows through the system all have a direct impact on risk.
In many systems, data passes through multiple services:
Each service introduces an additional access point.
These access points are not always visible, but they exist and accumulate over time.
The system no longer depends on a single structure, but on a set of external components. See the no-subscription approach.
The attack surface refers to all the points through which a system can be exposed.
The more a system depends on external services, the larger this surface becomes.
Each integration, each API, each account becomes something that needs to be secured.
Even if each service is reliable individually, their combination creates complexity that is difficult to fully control.
An alternative approach is to limit these dependencies.
By grouping core functions within a single system, it becomes possible to reduce exposure points. See autonomous backend systems.
Data remains within a controlled environment, and flows are easier to understand.
This does not eliminate risks, but it makes them more visible and manageable.
No system is completely secure.
Hosting your own data does not make intrusions impossible.
However, it allows you to control the architecture and reduce external dependencies.
Security then becomes a matter of design, not only of tools.
The multiplication of services is often seen as a quick solution.
It allows specific needs to be addressed, but gradually introduces additional layers.
Over time, these layers make the system harder to understand and more complex to secure.
In contrast, a simpler structure offers fewer entry points and better overall clarity.
Security does not rely only on added protections.
It largely depends on how the system is designed from the start.
Reducing dependencies, limiting external flows, and centralizing core functions helps build more predictable systems.
This approach applies to different use cases, including SaaS-free invoicing or internal tools.
Reducing dependencies is not about oversimplifying, but about gaining better control over what actually matters.