Fintech-first AI accountability layer for audit-proof AI decisions
Project description
UAAL Core
UAAL is an inline enforcement layer that cryptographically records and proves AI decisions.
What it does
- Blocks AI actions without policy reference
- Writes immutable, append-only decision evidence
- Supports local and S3 Object Lock storage
- Produces regulator-verifiable audit trails
Who it is for
- Fintech
- Credit decisioning
- Regulated AI systems
Philosophy
No dashboards. No trust theater. Only proof.
Author
Chandan Galani
Founder, UAAL
Fintech-first AI accountability infrastructure
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
uaal_core-1.0.1.tar.gz
(3.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file uaal_core-1.0.1.tar.gz.
File metadata
- Download URL: uaal_core-1.0.1.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0c93d8d9e1dbd26ae1b9fdef4b790d922523fab281e5bedb3f27efa415b2e0b4
|
|
| MD5 |
60b51fd4a6486f576c16a052f1d21ca9
|
|
| BLAKE2b-256 |
b7ba0786d21e03aaa5ae184635f681950d3539a49f576fea71f1353e646f4b56
|
File details
Details for the file uaal_core-1.0.1-py3-none-any.whl.
File metadata
- Download URL: uaal_core-1.0.1-py3-none-any.whl
- Upload date:
- Size: 5.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e774ef2578eda36308b65e3be7369781d423992c16bf47a6c15c57585d248e5d
|
|
| MD5 |
56bec6aa290c38f2875ea8d9b29d92ac
|
|
| BLAKE2b-256 |
ce92f3239772af70ce5922f789bd6701d11f1e8e364cbe35aa695a708f76ed65
|
