# Сопутствующие статьи по теме privacy

Новостной центр HTX предлагает последние статьи и углубленный анализ по "privacy", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Cardano Founder Hoskinson Says Midnight Mainnet Is Now Live

Cardano founder Charles Hoskinson announced the mainnet launch of Midnight, a privacy-focused blockchain within the Cardano ecosystem. The network, which has already produced over 163,000 blocks, is currently in a controlled "guarded era" with federated node operators ensuring stability. It features programmable privacy through zero-knowledge proofs, allowing selective data sharing. The ecosystem uses a dual-token model: NIGHT for governance and DUST for renewable transaction fees. Institutional partners include Worldpay, Google Cloud, and eToro. Hoskinson also released a free book on zero-knowledge proofs and confirmed upcoming Lace wallet updates.

bitcoinist04/01 04:02

Cardano Founder Hoskinson Says Midnight Mainnet Is Now Live

bitcoinist04/01 04:02

Encrypt Is Coming to Solana to Power Encrypted Capital Markets

Encrypt is introducing Fully Homomorphic Encryption (FHE) to the Solana blockchain to enable encrypted capital markets. This cryptographic breakthrough allows developers and institutions to build high-performance financial applications where sensitive information—such as balances, orders, and positions—remains encrypted during on-chain execution. By integrating FHE natively into Solana, Encrypt enables confidential trading, private lending, sealed-bid auctions, and other privacy-preserving applications without sacrificing composability or performance. The platform aims to remove barriers to institutional adoption by allowing participation in public markets without exposing sensitive data. Encrypt will launch on Solana devnet in early Q2 2026, with a mainnet release planned later in the year.

TheNewsCrypto03/31 13:42

Encrypt Is Coming to Solana to Power Encrypted Capital Markets

TheNewsCrypto03/31 13:42

Odaily Interviews Aster: DEX Will Ultimately Devour the Entire Trading World, Optional Privacy is the Key Ladder

Odaily Interview with Aster: DEX Will Ultimately Devour the Trading World, Optional Privacy is the Key Ladder Aster has initiated key steps to build institutional-grade private DeFi infrastructure, marked by the launch of its Layer 1 mainnet, Aster Chain, on March 17. The mainnet offers traders fair ordering and optional privacy. This was followed by the launch of its native staking function on March 20. The project has rapidly evolved from an innovative Perp DEX into a complete infrastructure layer, achieving record-breaking trading volumes in late 2025 and a successful TGE. In an interview, CEO Leonard explained their core logic: launching a mainnet *after* securing users and revenue, not with a "cold start." This ensures every step is validated by real market demand. Aster's key differentiator is its unique "optional privacy" value proposition, implemented through a ZK + Stealth Address architecture. This allows for automatic privacy for each transaction while maintaining verifiability. The team believes this feature is a prerequisite for mass adoption and will be a primary driver for institutional use of DEXs, forming the core of their moat. Looking ahead, Aster predicts the DEX landscape will evolve into an oligopoly dominated by a few major players. The project is actively pursuing partnerships with both Web2 and Web3 entities, with significant interest from financial firms looking to build markets or list assets on its chain. For the immediate future, Aster's Q2 focus is on attracting privacy-seeking users and institutions, expanding assets and liquidity, growing its ecosystem via its developer program (Aster Code), and enhancing token utility.

Odaily星球日报03/31 02:33

Odaily Interviews Aster: DEX Will Ultimately Devour the Entire Trading World, Optional Privacy is the Key Ladder

Odaily星球日报03/31 02:33

Cardano Founder Hoskinson Just Released A Free Book On Zero-Knowledge

Cardano founder Charles Hoskinson has released a free, 357-page book titled "Proving Nothing: A Layered Guide to Zero-Knowledge Proof Systems" under a Creative Commons license. Designed as a non-technical introduction, the book uses a seven-layer framework to explain ZK systems, covering topics from cryptography and proof systems to private smart contracts and zkVMs. Hoskinson stated the project aims to address the low understanding of ZK technology and also serves as an introduction to Midnight, Cardano’s privacy-focused network. The book is intended to be a living document, with plans to update it as Midnight develops and new advancements emerge.

bitcoinist03/30 13:32

Cardano Founder Hoskinson Just Released A Free Book On Zero-Knowledge

bitcoinist03/30 13:32

ARO Network Raises $5M in Strategic Round to Build “The Agentic Edge”

ARO Network, a pioneer of "The Agentic Edge" for the autonomous AI era, has raised $5 million in a strategic funding round co-led by NoLimit Holdings and an undisclosed leading Asian data center operator. The funding supports ARO's vision to make AI agents more personalized, privacy-preserving, and accessible. The network decentralizes AI by placing agents directly in users' homes, utilizing local resources to create personal digital extensions. This approach aims to overcome limitations of centralized cloud systems. ARO has over 1.18 million active nodes and has launched Testnet Sprint 2, offering a simplified user experience. CEO Randy emphasized ARO's mission to put autonomous, secure AI directly into users' hands, ensuring private, uncensored operation with low latency. The partnership with a major Asian data center will provide enterprise-level infrastructure across APAC.

TheNewsCrypto03/30 03:15

ARO Network Raises $5M in Strategic Round to Build “The Agentic Edge”

TheNewsCrypto03/30 03:15

From Cash to Crypto: Towards a Consistent Regulatory Approach to Illicit Payments

"From Cash to Crypto: Towards a Consistent Regulatory Approach to Illicit Payments" by Andrea Minto et al. (BIS) examines the challenges for Anti-Money Laundering and Countering the Financing of Terrorism (AML/CFT) regulation posed by the diversification of payment instruments, from cash and bank deposits to cryptoassets and CBDCs. The paper introduces a conceptual framework centered on the degree of intermediary involvement in a payment tool. It identifies a "waterbed effect": as regulators tighten AML/CFT rules on one type of instrument (e.g., bank transfers), illicit activity may shift to less-regulated alternatives with lower detection probabilities (e.g., self-hosted crypto wallets). This regulatory arbitrage undermines overall effectiveness. The framework categorizes payment tools as either intermediary-dependent (e.g., bank deposits, e-money, custodial wallets) where regulated entities perform checks, or non-intermediated (e.g., cash, self-hosted wallets, offline CBDCs) which offer higher anonymity and pose greater detection challenges. Malicious actors are assumed to choose tools that minimize their risk of detection. A case study of the EU's evolving AML/CFT regime illustrates this dynamic, showing how regulation has expanded over time to cover new entities like Crypto-Asset Service Providers (CASPs). However, inconsistencies remain, such as transaction limits for cash but not yet for self-hosted wallets or offline digital euro transactions. The paper concludes by proposing a dual regulatory approach: a *lex generalis* establishing a unified baseline of core obligations for all intermediated tools, and a *lex specialis* with tailored rules for non-intermediated instruments (e.g., transaction limits for cash and offline CBDCs, enhanced "touch point" monitoring for self-hosted wallets). This aims to create a more effective, consistent, and forward-looking framework that balances financial integrity with considerations for user privacy and innovation.

marsbit03/29 12:18

Hong Kong expands police powers to access encrypted devices, raising privacy concerns for crypto users

Hong Kong has expanded police powers under the National Security Law, criminalizing the refusal to provide passwords or assist in decrypting personal electronic devices. The rules, effective March 23, apply to residents, visitors, and transit passengers at Hong Kong International Airport. Authorities can now access, seize, and retain devices deemed relevant to national security investigations. This raises significant privacy concerns, particularly for crypto users who store sensitive financial data or access digital asset accounts on their devices. The policy highlights growing tensions between law enforcement and digital privacy.

ambcrypto03/26 20:02

Hong Kong expands police powers to access encrypted devices, raising privacy concerns for crypto users

ambcrypto03/26 20:02

Cardano Founder Says This Midnight Deal Could Bring Billions In TVL

Cardano founder Charles Hoskinson announced a major partnership between the privacy-focused blockchain Midnight and UK-based Monument Bank, which plans to tokenize up to £250 million in retail deposits. This initial phase could expand into billions in Total Value Locked (TVL) as Monument aims to later offer tokenized investment products and Lombard-style lending. The deal is positioned as a breakthrough for regulated finance on public blockchains, using Midnight’s privacy features to balance transparency with banking confidentiality while operating within existing regulatory frameworks.

bitcoinist03/26 13:31

Cardano Founder Says This Midnight Deal Could Bring Billions In TVL

bitcoinist03/26 13:31

GitHub Announces Default Use of Copilot User Data for AI Model Training Starting April 24

GitHub has announced an update to its repository policy, effective April 24, 2026, allowing the use of user interaction data to train its AI models. The data collection will include users of Copilot Free, Pro, and Pro+, covering model inputs and outputs, code snippets, contextual information, repository structures, and chat logs. According to GitHub’s Chief Product Officer Mario Rodriguez, the move aims to enhance the accuracy and security of the model’suggestions, with internal Microsoft tests already showing improved acceptance rates. The policy follows an opt-out model, meaning affected users must manually disable data sharing in their privacy settings, sparking debate within the developer community over data ownership and the definition of private repositories. Copilot Business, Enterprise, and educational users are currently exempt due to contractual terms. GitHub defended the change as consistent with industry practices adopted by companies like Anthropic, JetBrains, and Microsoft. However, the inclusion of private repository code in training sets challenges conventional notions of privacy. This shift reflects a broader industry trend where leading AI providers are turning to user interaction data as high-quality public code resources diminish. It signals GitHub’s continued transition from an open-source platform to a closed-loop AI training ecosystem and highlights growing tensions between data compliance and AI model advancement.

marsbit03/26 01:39

GitHub Announces Default Use of Copilot User Data for AI Model Training Starting April 24

marsbit03/26 01:39

"Borrowing a Chicken to Lay Eggs"? Apple Secures Google Gemini License: Crafting the Strongest On-Device AI Through Model "Distillation"

Apple has reportedly secured full access to Google's Gemini model, not for simple API integration, but to perform "model distillation"—a technique that allows Apple to train smaller, more efficient on-device AI models by learning from Gemini’s advanced reasoning processes. This approach enables Apple to develop localized AI systems that operate entirely on-device, improving speed and safeguarding user privacy. The distilled models are expected to power a significantly upgraded Siri in iOS 27, enabling deeper interaction, complex question-answering, document understanding, and practical task execution—all without requiring cloud connectivity. While leveraging Google’s model in the short term, Apple continues to develop its own foundational AI models internally, adopting a dual strategy of near-term collaboration and long-term independence. This move represents Apple’s effort to balance cutting-edge AI performance with its strict privacy and efficiency standards, potentially reshaping the landscape of on-device artificial intelligence.

marsbit03/26 01:08

"Borrowing a Chicken to Lay Eggs"? Apple Secures Google Gemini License: Crafting the Strongest On-Device AI Through Model "Distillation"