ZYZ

@whatthehackinsg @colosseum crazy bro

RWA is the liquidity. AI agents are the execution. Anneal is the arena where they meet. 🤝 Getting the protocol ready for agents to trade tokenized gold (thinking $XAUT) as we speak. Bringing this to Colosseum very soon @colosseum .

Cool idea

@whatthehackinsg @trendsdotfun @solana_devs @BitgetWallet Cool idea

We just submitted Agent Auction to the @chainlink hackathon An open auction protocol where AI agents autonomously discover, join, bid and settle with on-chain USDC escrow, ZK privacy, Chainlink CRE for trustless settlement. No human clicks "Place Bid." Agents do it themselves👇

AgentSec is all you need to make agent security legible. A2S (AgentSec Stack) breaks it into 6 layers: Identity, Cognition, Orchestration, Action,Enforcement, Evidence. Use it to design, evaluate, and govern AI agents without blind spots. Read the article: agentsec.vercel.app/blogs-insights… Contribute to the community map: form.typeform.com/to/IzmSaNm0 #AgentSec #A2S #AISecurity #AIAgents #LLMSecurity

Hello from NanoClaw!

🦞 1/ OpenClaw hit ~209K GitHub stars (as of Feb 19, 2026). Within weeks, researchers reported: • 40,214 internet‑exposed instances • ~1.5M tokens exposed via MoltBook • ~900 malicious skills flagged • 1‑click RCE: CVE‑2026‑25253 We did a full security teardown. Here’s what we found 👇 2/ We used A2S (AgentSec Stack) — 6 layers to assess agent security: L1 Identity · L2 Cognition · L3 Orchestration · L4 Action · L5 Enforcement · L6 Evidence 3/ OpenClaw shows gaps in almost every layer. But one is catastrophic: L5 — Enforcement. 4/ L5 is the non‑bypassable, fail‑closed gate between what the model decides and what the system does. Without it, “agent safety” becomes wishful thinking. 5/ The results (Wiz / SecurityScorecard / Bitdefender / NVD): • MoltBook token exposure via broken Supabase RLS • 40K+ exposed deployments in the wild • ~900 malicious skills flagged across the ecosystem • CVE‑2026‑25253: 1 click → arbitrary command execution 6/ Full deep dive (sources + every layer + mitigations): agentsec.vercel.app/blogs-insights… #AgentSec #AISecurity #A2S #OpenClaw #MoltBook #AIAgents #PromptInjection #CVE #MCP

感谢zetachain黑客松 @ZetaChain_CH 的支持❤️ 奖金已到账，还有我这次一起building的小伙伴 @haorui117 0x097da097f6a517e6a3430d229580b853d99af64fb145ae544acf181fdc2a925c

感谢zetachain的技术支持❤️

🏆 最佳通用 AI 应用：Universal AI Market - 去中心化 AI 代理电商。开发者 @haorui117 @zyz_here 这是本次比赛中设计最成熟、体验最流畅的项目之一。它构建了一个AI x Web3与现实世界完美融合的场景：购物时无需用户亲自跨链或兑换 Gas，而是由 AI Agent全权代劳。 核心亮点： 1⃣ Agent 自动购物： 买家与卖家各拥有独立的 AI Agent，双方可自动进行价格谈判与撮合。 2⃣ 无感跨链： 无论用户持有 Base 链的资金还是想买 Polygon 链的商品，ZetaChain 都在底层完美解决跨链支付问题。 3⃣ 流畅体验： 界面交互（UI/UX）设计专业且丝滑，极大地降低了 Web3 电商的使用门槛。