Coders & Pixels

Data Privacy

2 articles

Editorial illustration for FHE for Enterprise SaaS AI/ML: How Encrypted Inference Works and What It Costs
SaaS & The Cloud

FHE for Enterprise SaaS AI/ML: How Encrypted Inference Works and What It Costs

Fully Homomorphic Encryption (FHE) enables AI/ML inference on encrypted data, preserving client privacy by allowing computation on ciphertexts. While promising for sensitive enterprise SaaS applications, FHE introduces significant computational overhead, increased data sizes, and architectural complexity that must be carefully evaluated against workload requirements and latency tolerance.

Jordan Adebayo·October 20, 2026
Abstract AI algorithms analyzing a digital representation of a person, symbolizing the 'In the Weights' personal recall checker.
SaaS & The Cloud

Ex-OpenAI Staff Launch AI Personal Recall Checker

Former OpenAI employees Thomas Dimson and Joey Flynn have launched In the Weights, a free website assessing how well AI models recall information about individuals.

David Ibrahim·June 21, 2026