Teradata adds post-quantum protection and immutable backups for AI data
Original title: Teradata expands AI data security with post-quantum protection and immutable backups
New controls include poly-anonymization via Anonomatic, TLS 1.3 hybrid-key exchange, and Immuta attribute-based access control.
Teradata announced privacy, security, and resiliency features for enterprise AI data. Poly-anonymization stores identity in Anonomatic PII Vault while analytics use stable identifiers, and format-preserving encryption keeps value structure intact. For transit, TLS 1.3 hybrid-key exchange mixes classical and post-quantum algorithms. Immutable backups and database-level high availability are also included, with Immuta providing dynamic attribute-based access control.
Unconfirmed: Performance claims are Teradata’s and vary by workload and configuration.
- Poly-anonymization keeps identity in a post-quantum Anonomatic PII Vault.
- Authorized users can restore identity; others see structurally useful data.
- Teradata says protected joins used fewer resources than unprotected queries.
- Native additions include masking, classification, tagging, and column encryption.
- Vendors
- Teradata
- Products
- Anonomatic PII Vault
- Organizations
- AnonomaticImmuta
From the original article
4 min read at helpnetsecurity.comTeradata has announced new privacy, security, and resiliency capabilities designed to address one of the defining challenges of enterprise AI: how sensitive data is protected, who and what can access it, and whether it remains available and recoverable when something goes wrong.
By Industry News · helpnetsecurity.com
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