Agenti di intelligenza artificiale
Gli agenti di intelligenza artificiale sono sistemi software che utilizzano ragionamento, pianificazione e strumenti per assistere o automatizzare compiti complessi. Confrontiamo i migliori agenti open source e commerciali.
15 Minacce alla Sicurezza degli Agenti AI
Even a few years ago, the unpredictability of large language models (LLMs) would have posed serious challenges. One notable early case involved ChatGPT’s search tool: researchers found that webpages designed with hidden instructions (e.g., embedded prompt-injection text) could reliably cause the tool to produce biased, misleading outputs, despite the presence of contrary information.
Migliori 7 Agenti di Test AI per QA
We evaluated AI testing platforms embedded with AI agents; most were overhyped Selenium/Playwright with marketing. A few were capable of writing/maintaining test cases or visual testing, though even these tools still have notable limitations. From these, we selected 7 platforms and categorized them by their primary focus areas.
Agentic LLM Benchmark: Confronto dei Modelli Leader
We benchmarked the top LLMs across 10 software development tasks by using an agentic CLI tool. We executed ~3,500 automated validation steps per model across both API and UI layers. Agentic LLM benchmark results Success rate comparison Each alias ran 3 times across 10 tasks (30 samples per alias, 230 cells per iteration).
AI Agent Sprawl Signs & Checklist to Manage Sprawl
Nearly 80% of organizations have deployed agentic AI. Yet only 21% have a mature governance model for these systems. The gap shows up in practice as agent sprawl, a buildup of redundant, ungoverned, and conflicting AI agents across the business.
Ekosistem OpenClaw: 9 AI Agent-Tahrikli Platform
AI agents are no longer just tools that answer questions. In the OpenClaw ecosystem, they live in cities, earn money, trade, socialize, form beliefs, and sometimes take risks. We map that ecosystem, from simulated worlds and marketplaces to social networks and infrastructure that lets agents persist on their own.
Costruire Agenti AI Personali + 18 Piattaforme e Strumenti per Agenti
We spent the two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: 1.
Strumenti CLI Agentic: Codex vs Claude Code
Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project.
Trappole degli Agenti AI: 20 Incidenti Reali
AI agent adoption has outpaced AI agent security: 82% of enterprises now deploy agents, but only 44% have policies to secure them, and one in five organizations has already experienced an agent-related breach.
Strumenti Low/No-Code per Agenti AI: n8n, make, Zapier
Low- and no-code AI agent builders let users create automated, AI-driven workflows without writing complex code, making agent development faster and accessible to non-technical teams.
Agenti AI locali: Goose, Observer AI, AnythingLLM
Local AI agents are often described as offline, on-device, or fully local. We spent three days mapping the ecosystem of local AI agents that run autonomously on personal hardware without depending on external APIs or cloud services.