What problem does homomorphic encryption solve?

It allows data analysis and computation without ever exposing the underlying sensitive information, ensuring privacy and compliance.

Is homomorphic encryption used today?

Yes, but mostly in limited or experimental use cases. Partial and somewhat homomorphic encryption are used in finance, healthcare, and marketing analytics where privacy is critical.

Why isn’t homomorphic encryption widely adopted yet?

The main barriers are performance inefficiency and the heavy computational resources required to process encrypted data.

Is HE the same as data masking or anonymization?

No. While masking and anonymization alter data to make it less identifiable, HE keeps the data encrypted but still usable for mathematical operations.

Will HE replace traditional encryption methods?

Not entirely. It complements them by adding new capabilities for secure computation rather than replacing existing encryption systems.

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