Organizations are starting to take an interest in homomorphic encryption, which allows computation to be performed directly on encrypted data without requiring access to a secret key. While the ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Regardless of the strength of data’s encryption, more and more potential vulnerabilities surface in data security as more people are granted access to sensitive information. However, a relatively new ...

Dr. Rand Hindi is CEO at Zama. He is a serial entrepreneur and investor with expertise in privacy, AI and blockchain. The purpose of a blockchain is to reach a consensus on a common state. To remain ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Privacy is a core concern in crypto. Once you know a crypto wallet address corresponds to a certain individual, you can track all the transactions that individual has ...

Secure cloud data processing has become a critical issue in recent times and while general network security techniques such as Virtual Private Networks could be used for securing the end-to-end ...

Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.

Yesterday, Ars spoke with IBM Senior Research Scientist Flavio Bergamaschi about the company’s recent successful field trials of Fully Homomorphic Encryption. We suspect many of you will have the same ...

Homomorphic encryption, a complex technique that uses cryptographic algorithms to keep data secure as it travels around networks and to third parties, continues to elude mass-market scalability and ...

Craig Gentry is creating an encryption system that could solve the problem keeping many organizations from using cloud computing to analyze and mine data: it’s too much of a security risk to give a ...