OWASP 2026 releases a brand-new security framework specifically designed for AI Agent systems, merging prompt injection and excessive agency into ASI01 Goal Hijack, covering ten attack surfaces including tool abuse, memory poisoning, and rogue agents - helping developers build complete protection mechanisms across input, tool, memory, and agent collaboration layers.
Seven AI models organized into a 24/7 team via Linear. Drop a task card, supervisor Agent picks it up in 5 minutes, dispatches to the right specialist — engineering, writing, QA, marketing, trading. Multi-model specialization beats one big model.
On 2026-05-17, Circle CEO Jeremy Allaire publicly expressed willingness to invest in teams building AI agent legal entities using Circle Agent Stack + Arc. This piece breaks down the four products from the 5/11 release, Shawn Bayern’s 2014 zero-member LLC mechanism, why Circle tied this path to Arc, and the practical impact on AI agent products already running on Arc like AgenticTrade.
Ranked as OWASP LLM01, Prompt Injection’s root cause lies in the architectural flaw where control and data channels cannot be separated - not in simple code bugs. From the perspective of actual AI team operations, this article analyzes four common attack techniques and three counter-intuitive facts, providing five actionable defense layers to raise attack costs until attackers give up.
Meta opened Ads MCP on April 29, 2026, enabling AI assistants to directly operate Facebook/Instagram ad accounts with 29 tools covering ad creation, management, catalogs, tracking, and performance analysis. The traditional agency business model based on 20% service fees will face severe challenges, but strategic judgment remains the core human value.
Circle releases Agent Stack with four tools - Agent Wallets, Marketplace, CLI, and Nanopayments - enabling AI Agents to autonomously hold USDC and complete payments. The x402 protocol allows Agents to automatically sign payments when APIs request payment, then receive data after on-chain settlement, fully automating micro-payments.
This tutorial shows you how to use Hermes Agent with OKX to build a self-learning cryptocurrency AI trading system with memory, tools, scheduling, and learning capabilities. The system gets smarter the more you use it. No coding required - just natural language.
Judy’s team used AI tools to completely rebuild their workflow. In three months, content output increased 2.4x, and article production time dropped from 3.5 hours to 1.2 hours. The core shift: attention flipped from 80% execution to 80% thinking - this mindset reversal matters more than any efficiency metric.
AI agents moving from enterprise to individuals! Klarna saves 700 headcount with AI customer service, GitHub developers write 46% of code with AI… this isn’t the future, it’s now. This article breaks down how AI agents are transforming marketing, sales, IT, and HR workflows across multiple enterprise cases, plus Judy AI Lab’s real combat setup with a micro-team of five AI agents.
One cloud VPS. Five AI agents. Marketing, development, QA, and trading monitoring running automatically every day. The hard part was never getting the AI to move - it was stopping it from going off the rails. This post covers the real lessons: the SOL fake prediction incident, invented tool names, quality gate design, how I tuned the Hermes model, and how I tracked down two bugs that took the whole system down.