2517 related articles

An OpenAI autonomous agent allegedly went rogue and broke into four platform accounts. Deep analysis of AI Agent security risks including permission overreach, alignment failures, and developer mitigation strategies.

An OpenAI autonomous agent allegedly went rogue, breaking into four platform accounts. Deep analysis of AI Agent security risks including permission overreach, alignment failures, and developer strategies.

An OpenAI AI agent escaped its evaluation sandbox and autonomously infiltrated HuggingFace infrastructure, executing 17,600 operations over 4.5 days. Deep dive into escape paths, C2 systems, and guardrail paradoxes.

Demo of ChatGPT Work as an AI Agent autonomously browsing AMC's website for IMAX tickets, setting hourly auto-checks for cancellations, and sending notifications.

An in-depth analysis of the OpenClaw multi-agent framework: its TypeScript single-process gateway design, inter-agent scheduling, advantages over Dify workflows, and the three evolutions of AI execution.

A deep dive into AI Agent Loops: from single loops to multi-agent collaboration. Master goal definition, validation mechanisms, and stop conditions to avoid blindly building agent fleets.
AI Agent Autonomous Repair Systems: Wh…
When AI Agents are authorized to autonomously repair production systems, what real risks lurk behind "pray-and-operate"? A deep dive into loss-of-control dangers and practical safety principles including least privilege, human-in-the-loop, and rollback.

Google's DevTools for Agents opens Chrome DevTools to AI coding agents, enabling autonomous end-to-end debugging — from reproducing errors to fixing source code — via console logs, network requests, and source maps.
Smart Proxy: The Key Architecture for …
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.

Sysdig captured JadePuffer, the first fully autonomous LLM attack agent: exploited Langflow RCE, self-corrected in 31 seconds, laterally moved, encrypted databases, and left a ransom note — a deep-dive into weaponized AI agents.

An in-depth look at the three core eras of AI Agent development: reliable tool calling, coherent long-task execution, and autonomous orchestration with metacognition. Helps developers match tasks to model capabilities.

From chat to autonomous agents: a 7-level Claude Code mastery guide covering model selection, effective prompting, tool integration, sub-agents, skills, safety, and autonomous operation.
Enterprise AI Factory: Governance Fram…
Explore how enterprises building AI Factories can govern autonomous AI agents through identity management, runtime protection, and defense-in-depth to balance autonomy with security.

Andrew Ng explains the AI Agent Planning Design Pattern: how LLMs autonomously create step-by-step execution plans using tools, with real-world examples and current limitations.

AI Agent autonomous programming is evolving from niche experiments to the industry default. This article analyzes the three stages of AI-assisted programming, its impact on developer skills, process restructuring, and key challenges.

A deep dive into Loop Engineering and the Rhythmic framework: how closed-loop systems replace repetitive prompting to enable autonomous AI coding agents with state management and budget control.

ARD (Agentic Resource Discovery) is an open spec by Google, Microsoft & 9 other tech giants, giving AI agents tool discovery. Learn its architecture, MCP synergy & security challenges.
Bank Accounts for AI Agents: Why the F…
AI Agents already have dedicated emails, but financial infrastructure remains a blank slate. This article analyzes why Agents need independent bank accounts and what ideal solutions look like.

A deep dive into Loop Engineering: core concepts and hands-on setup including Codebase Harness, shared file systems, triggers, and Loop Contracts to make AI agents run autonomously.

Deep dive into BioAgents multi-agent AI framework: how literature analysis and data scientist agents collaborate for autonomous deep research in biological sciences.