privacy-finality-reference-v0.1.0.tar.gz
Privacy Finality Reference v0.1.0 is a runnable Python reference implementation of Candidate-Act-based, purpose-bound privacy and data-use enforcement for AI systems.
This release demonstrates:
- Candidate Act exact-act binding
- Non-Effective State
- logical non-joinable vaults
- purpose and minimum-data enforcement
- protected Virtual Identity commitment
- non-bearer proof-of-possession
- policy epoch and nonce checks
- replay protection
- Finality Sink verification
- fail-closed release behavior
- SME customer-support example
- automated tests and microbenchmark
This is a research and interoperability reference implementation. It is not a production security product, legal-compliance engine, or grant of patent implementation rights.