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
1 maintainer
Metadata
1 maintainer
Release files for uaal-core 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| uaal_core-1.0.1.tar.gz | 3.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| uaal_core-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 kB
Release files / uaal_core-1.0.1.tar.gz
| Download URL | uaal_core-1.0.1.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.4
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Release files / uaal_core-1.0.1-py3-none-any.whl
| Download URL | uaal_core-1.0.1-py3-none-any.whl |
|---|---|
| Size | 5.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.4
|
Security for uaal-core 1.0.1
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