Privacy and cryptography
Zero knowledge, FHE and privacy-preserving computation beyond the hype.
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Latest in this collection
zkTLS for AI Agents: Prove Web Data Without Exposing Secrets
A production guide to verifiable web data for AI agents: guarantees, trust models, limits, architecture choices, and pilot gates.
Building Real Applications With ZK and FHE in 2026: A Pragmatic Guide
Apple documents production HE lookups, Google Wallet announced ZK age assurance, and Ethereum proving now has multi-GPU real-time benchmarks. The decision tree, current evidence, and five common privacy-tech failure modes.
Zero-Knowledge Proofs in 2026: What Is Actually Production-Ready
Proving an Ethereum block fell from 1.69 dollars to under 4 cents in one year, and ZK identity landed in Google Wallet. Which zkVMs to build on, what proving costs, what works on a phone, and where the security bodies are buried.
Fully Homomorphic Encryption in 2026: What Ships and What Is Still Hype
FHE powers private lookups on Apple devices and encrypted transactions on Ethereum, but performance depends on the scheme, operation mix, parameters, and hardware. The production pattern that works and the encrypted-LLM reality check.
ZK vs FHE vs MPC vs TEE: How to Choose in 2026
Four privacy technologies, four trust models, four price tags. The four questions that pick the right one, a side-by-side comparison with honest numbers, and the EU regulations that increasingly force the choice.
Zero-Knowledge Outside Crypto
Six non-crypto ZK use cases. Privacy-preserving KYC, age verification, supply chain provenance, private credentials, confidential ML inference.
Complete article directory
- zkTLS for AI Agents: Prove Web Data Without Exposing Secrets
- Building Real Applications With ZK and FHE in 2026: A Pragmatic Guide
- Zero-Knowledge Proofs in 2026: What Is Actually Production-Ready
- Fully Homomorphic Encryption in 2026: What Ships and What Is Still Hype
- ZK vs FHE vs MPC vs TEE: How to Choose in 2026
- Zero-Knowledge Outside Crypto