Centralized cloud providers handle privacy through trust. Users assume data is protected because infrastructure is controlled by a single entity with legal and technical safeguards.

This creates a clear accountability model, but it also concentrates risk. If the provider is compromised or compelled, the entire data layer is exposed.

@Fluence Network removes that single point of control. Compute runs across independent nodes rather than a unified infrastructure owner.

This reduces the surface area of institutional trust, since no single operator has full visibility or authority over all execution.

Compared to centralized clouds, privacy shifts from policy-based protection to architectural distribution.

Instead of trusting one entity to secure everything, trust is minimized by spreading execution across multiple independent participants.

The limitation is that decentralization alone does not guarantee confidentiality. Without strong execution isolation and verification, distributed systems can still leak metadata or rely on external assumptions.