> For the complete documentation index, see [llms.txt](https://corpus-core.gitbook.io/pap-colibri-stateless/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://corpus-core.gitbook.io/pap-colibri-stateless/the-model/pragmatic-adaptive-privacy/adaptive-privacy.md).

# Adaptive Privacy

## Adaptive Privacy

Privacy requirements vary between applications, users, and individual operations. A balance query, a transaction simulation, a governance vote, and an institutional trading strategy expose different types of information and therefore require different levels of protection.

Applying the same Privacy Profile to every operation is inefficient. Stronger privacy introduces additional latency, bandwidth consumption, computational overhead, and implementation complexity that may not provide a corresponding security benefit. Conversely, insufficient privacy for sensitive operations may expose Actionable Information Leakage during the Operational Privacy Window.

PAP therefore treats privacy as a dynamic property rather than a static system configuration.

Applications specify the required **Privacy Profile** for each operation rather than selecting individual privacy mechanisms. A Privacy Profile defines the desired privacy properties of an operation without prescribing how those properties are implemented.

The appropriate Privacy Profile is determined by the context of the operation rather than by the operation itself. The same blockchain request may therefore be executed with different Privacy Profiles depending on the application's security objectives, the current threat model, or user preferences — not only on the operation type.

The implementation of a Privacy Profile is delegated to the **Privacy Application Layer (PAL)**. PAL selects the appropriate transport mechanisms, content protection techniques, and execution strategy based on the requested profile, the capabilities of the execution environment, and the available infrastructure while preserving trustless verification.

Routine operations apply lightweight pragmatic privacy. Strategically sensitive operations can adopt stronger Privacy Profiles without changes to the application architecture.

Adaptive Privacy enables applications to optimize privacy, security, performance, and resource consumption simultaneously. Privacy becomes a configurable property of each individual interaction rather than a fixed characteristic of the entire system.