GDPR compliance demands strict control over personal data: how it is stored, processed, and shared. Traditional encryption protects data at rest or in transit, but once you decrypt it for computation, risk surges. Homomorphic encryption changes that. It allows computation directly on encrypted data, producing results that remain encrypted until the final step. No raw data is exposed during processing.
With fully homomorphic encryption (FHE), you can run complex algorithms over encrypted datasets as if you had the plaintext. Partial or somewhat homomorphic encryption covers specific operations like addition or multiplication, but most modern privacy workloads aim for FHE to satisfy GDPR’s “data minimization” and “integrity and confidentiality” principles.
For organizations processing personal data under GDPR, homomorphic encryption offers a direct path to compliance. Data controllers can hand encrypted datasets to processors without granting access to identifiable information. This reduces risk footprints and supports Article 32’s call for “appropriate technical measures” against unauthorized processing.
Key advantages: