Sammy Kerata Oina
de60358c02
* Enforce 32-byte length check for hashes Introduced a validation step in the manager service to ensure both algorithm and dataset hashes are of byte length 32 before provisioning VMs, preventing runtime errors due to invalid hash lengths. The test manager-server now generates a valid 32-byte hash using SHA256 for mock data to align with the new validation requirement. Signed-off-by: SammyOina <sammyoina@gmail.com> * use equal comparison Signed-off-by: SammyOina <sammyoina@gmail.com> * use a constant Signed-off-by: SammyOina <sammyoina@gmail.com> * use constants Signed-off-by: SammyOina <sammyoina@gmail.com> --------- Signed-off-by: SammyOina <sammyoina@gmail.com>
Cocos AI
Cocos AI (Confdential Computing System for AI/ML) is a platform for secure multiparty computation (SMPC) based on the Confidential Computing and Trusted Execution Environments (TEEs).
With Cocos AI it becomes possible to run AI/ML workloads on combined datasets from multiple organizations while guaranteeing the privacy and security of the data and the algorithms. Data is always encrypted, protected by hardware secure enclaves (Trusted Execution Environments), attested via secure remote attestation protocols, and invisible to cloud processors or any other 3rd party to which computation is offloaded.
Usage
The quickest way to start using Cocos is via the CLI. The latest version can be downloaded from the official releases page.
It can also be built and used from the project's root directory:
make cli
./build/cocos-cli version
Additional details on using the CLI can be found in the CLI documentation.
Documentation
Official documentation is hosted at [Cocos official docs page][docs]. Documentation is auto-generated, checkout the instructions on official docs repository.
License
Cocos AI is a proprietary product created by Ultraviolet company.