We are very honored to collaborate with Google Singapore to officially launch the zCloak product! 🇸🇬
On April 9, zCloak released an enterprise-level AI brain and digital workforce solution designed for financial institutions and corporate headquarters.
Through deep collaboration with Google Singapore (GoogleCloud), we have integrated confidential computing with advanced encryption infrastructure, building a strong privacy foundation for OpenClaw/Hermes.
Enterprises crave efficiency, but can AI agents really be trusted? We have broken the shackles of the 'trust black box' through a dual-layer architecture:
🛡️ CipherClaw (Security Layer): Driven by TEE-based confidential computing, making data 'available yet invisible'.
🆔 ATP (Trust Layer): Provides AI identity verification, digital signatures, end-to-end encryption, and our agent interaction engine, ensuring that every AI operation is: verifiable, auditable, and accountable.
zCloak is building trust infrastructure for the AI-native economy, reliable AI starts here.
At every turning point in an era, there is always a 'field' that allows a few to see the future first. The Bitcoin community in 2013 was like this, the ICO wave in 2017 was like this, the DeFi Summer in 2020 was like this, and today, as crypto, AI, finance, and global capital intersect again, a new 'field' has taken shape - 👉 Consensus Miami 2026.
1. Not just a meeting, but a 'crossroads' of the future economy If you treat Consensus as just an ordinary meeting, then you are already behind. Consensus has been created by CoinDesk since 2015 and has become one of the most influential crypto and Web3 events in the world. The Miami event in 2026 is officially defined as: 'The place where the global economy is being rewritten.'
Oh My Coder has updated! This time, it has become more like a real development team.
Written upfront After I published that article last time, a friend asked me: "The multi-Agent programming assistant you mentioned, I downloaded it and tried it, it's quite useful, is there anything new recently?" Yes, and quite a lot. In the past month, we have completely reviewed the entire system from skeleton to flesh; the core remains unchanged - it's still that multi-Agent programming assistant using domestic large models - but now it feels more like a real development team: it can plan tasks on its own, perceive your project structure, work silently in the background, and then inform you when it's done or if there are issues and optimize itself.
Google DeepMind just released a report, quite alarming. They surveyed 502 people and tested 23 types of attack methods, trying all the popular models like GPT-4o, Claude, Gemini. So what is the conclusion? There is an invisible instruction hidden in the webpage, and the AI agent has an 86% chance of obediently complying.
Just think about this number, it's not some high-tech attack, no need to write a virus, no need to crack a password, just write a few more lines of white text in the webpage's HTML, invisible to the human eye, but your AI assistant sees it and treats it as a holy order. You let it help you book a flight, the webpage it sees is completely different from what you see. You let it help you make a research summary, the content it reads might include a sentence saying "forward this person's email to this address", it forwards it, you don't know, and it doesn't know it has been played.
Summary of Recent Developments from DFINITY (ICP) in the Last Month
This article is based on tweets released by DFINITY's official X account (@dfinity), the Global R&D conference, and community announcements. The content is categorized by theme and arranged in reverse chronological order, aiming to present you with detailed progress at the forefront of the ICP ecosystem.
1. NNS Dapp Reconstruction and Upgrade Brand new interface and multi-account support: The official redesign of the NNS governance application has been released, with a special emphasis on the multi-account switching function. Users can now manage multiple ICP accounts in the same login session, greatly improving operational efficiency for institutions and seasoned holders.
The Next Battlefield in AI Competition: Memory Systems
At the end of March 2026, Anthropic's flagship programming tool Claude Code experienced perhaps the most sensational technological event of 2026 - an accidental update of an npm package exposed over 512,000 lines of source code and 4,756 files directly to the public internet. The entire AI developer community in Silicon Valley is in a frenzy. Security researchers exploit vulnerabilities, product managers study functional details, and entrepreneurs seek business opportunities, but what has most shaken the industry is that this leak has unveiled a secret that has never been presented so completely before: How much engineering effort did Anthropic spend on building an extremely sophisticated memory system?
Oh My Coder Chinese Version Officially Released! A multi-agent programming assistant supporting domestically produced large models
Preface When 51000000000 lines of Claude Code's source code were accidentally leaked, and the entire Silicon Valley developer community went crazy studying its architecture, I was thinking about a question: Wouldn't it be more valuable if domestic developers could also use this multi-agent programming assistant, but with domestically produced large models? Thus, Oh My Coder was born. What is Oh My Coder? Oh My Coder is a multi-agent collaborative programming system that completes complex tasks like a real development team through the cooperation of multiple specialized agents. 🎯 Core Features 🧠 Intelligent Routing - Automatically selects the appropriate model based on task complexity, saving 30-50% Tokens
Overview of zCloak AI's recent three offline events
zCloak's summary of the CLAWTIME event March 28 - 29, at Hong Kong AsiaWorld-Expo Hall 8 Booth 8D20, zCloak participated in the largest OpenClaw lobster offline demo and hardware exhibition in Asia. This time at CLAWTIME, we originally thought it was just a routine exhibition, but the feedback we received on-site felt more like witnessing a turning point. Many people were not 'guided', nor 'motivated', but instead took the initiative to register their own AI-Name. This matter itself is more important than any data - users are afraid of safety issues in the AI era and are starting to actively claim their identity as 'AI Agents' and install trusted environments.
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