Tag: Homomorphic Encryption

In an era of increasing data breaches and stringent privacy regulations, businesses face a critical challenge: how to extract value from sensitive data while keeping it secure. Traditional encryption methods often degrade performance, making large-scale analytics and machine learning impractical. Privacy-Enhancing Computation (PEC) solves this dilemma by allowing computations on encrypted data, without ever decrypting…