Forgetting-as-a-Service (FaaS)

A category of infrastructure providing **deterministic, verifiable deletion of AI memory** — including gradient-based unlearning, pruning-based forgetting from model weights, deterministic deletion of isolated context nodes within temporal memory graphs, and cryptographic shredding of S3-resident raw event logs. The "service" framing reflects that forgetting at scale across modern AI systems is non-trivial — simply deleting a source file from S3 doesn't unmake the semantic essence absorbed into vector embeddings or model weights.

GDPR Article 22 ("Right to be Forgotten") and adjacent regulatory frameworks require organizations to demonstrate verifiable removal of personal data. For traditional databases, this is a row delete; for AI memory systems where data has been embedded, fine-tuned into weights, or absorbed into temporal knowledge graphs, simple deletion is insufficient. Forgetting-as-a-Service names the infrastructure layer that closes this compliance gap.

GDPR Article 22 compliance for AI memory systems, gradient-based unlearning from fine-tuned models, S3 versioning + Object Lock retention + cryptographic shredding for audit-grade deletion, temporal memory graph node deletion with cascading invalidation downstream, AI memory compliance for regulated industries.