Traditional Data Lakes Security vs AltaStata
Traditional Cloud Data Lakes
Based on cloud server-side encryption, which protects data at rest from external hackers and cloud vendor access
This approach allows fast processing of stored data using the ML/AI ecosystem tools
Organization's admins and some users have excessive privileges to access and modify sensitive data, which constitutes an insider threat
AltaStata Data Lakes
Based on client side encryption to protect the organization against both outsider and insider threats. Through AltaStata users manage their personal data within protected personal boxes in the cloud object storage and authorize other users and programs to access their encrypted files or live video streams
This approach supports fast upload, streaming, random access and parallel encrypted data processing using ML/AI ecosystem tools like Spark with no overhead for cloud scalability and performance.
The approach also reduces cloud storage costs through data compression
Organization's sysadmin and CISO do not constitute an insider threat, however they can control and restrict data access for end users and perform formal data audit.
This method complies with the GDPR and CCPA approach for personal data privacy