A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Fhenix has acquired Sunscreen, one of the earliest teams focused on fully homomorphic encryption (FHE) for Web3, as the ...

Confidential Computing Is Having a Moment The confidential computing space is experiencing a wave of innovation across ...

Get confidential computing explained. Learn how hardware-enforced trusted execution environments (TEEs) fully protect ...

Ethereum co-founder Vitalik Buterin has published a detailed new article examining program obfuscation, which he describes as ...

Paris, France, June 18th, 2026, ChainwireUnlocking yield opportunities for Confidential USDC (cUSDC) holders by integrating ...

Credential theft surged by 160% in 2025, contributing to one in five data breaches as attackers employed AI-driven attacks to bypass traditional defenses. The challenge for security teams has evolved ...

Revenue for the quarter was $668,331 (2025 - $102,807), the increase driven primarily by development and integration fees along with the introduction of ongoing royalties from the release of DoMobile ...

Abstract: With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a ...

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models and agents. We’ve all heard the mantra from the quants in the business ...

Abstract: Homomorphic encryption (HE) has emerged as an ideal cryptographic technology for meaningful computations on encrypted data. Not only does HE secure private information even if the ciphertext ...