Use Cases

Privacy-Preserving Data Collaboration with Homomorphic Encryption

A major barrier to inter-agency or inter-organization collaboration is the risk of exposing sensitive data when it’s shared or moved outside its original premises. Traditional encryption protects data at rest and in transit—but once data needs to be processed or analyzed, it often must be decrypted, increasing risk.

Securemetric’s Privacy Enhancing Platform (PEP) solves this challenge with post-quantum proof Homomorphic Encryption—a breakthrough cryptographic approach that enables computations to be performed directly on encrypted data. This means the actual data always stays securely within the original owner’s environment; only encrypted, computed results are shared for collaborative analysis.

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By combining Homomorphic Encryption with Secure Multiparty Computation and Zero Knowledge Proofs, Securemetric empowers organizations to:

Collaborate on joint analytics and projects without ever exposing raw data

Ensure that sensitive information never leaves the owner’s network or control

Share only computed values or aggregated insights—never the underlying data itself

Meet strict privacy and compliance requirements, even in highly regulated sectors

With Securemetric’s PEP, agencies and organizations can confidently engage in secure data collaborations, unlocking new value and insights while keeping sensitive data completely protected and under strict control.

Data Security & Governance

Safeguard your data—wherever it resides—with integrated security and governance solutions. Ensure compliance, prevent data leaks, and enable secure data exchange across cloud, big data, and applications with privacy-preserving cryptography.

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