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AI cybersecurity is a cat and mouse gamejust now Sakana AI Launches Fugu Max and Fugu Ultra v2 for Cheaper, Stronger Multi-Agent Orchestration52m ago UK economy defies forecasts with surprise 0.4% growth in July1h ago Google Research Releases ToolGrad: Answer-First Framework Hits 99.8% Pass Rate for Tool-Use Data Generation1h ago China's star AI labs routed user requests to Claude at least 35 million times in the summer: Anthropic2h ago Anthropic and OpenAI employees speak out about humanity’s extinction as debate reaches fever pitch2h ago Force launches chatbot for non-emergency calls2h ago Tesla unveils driverless Cybercab in Japan for 1st time2h ago How Maersk Is Using AI To Survive The New Era Of Tariff Chaos2h ago Russia to require content made by, with AI to be labeled as such — GFCN president3h ago Flipkart’s Super.money Bets on AI Agents to Outdo Bigger Rivals4h ago Datasette 1.0a39 and 0.65.4 security releases4h ago Anthropic caught scientists using Claude to further biological weapon research5h ago Oracle says AI will save it from the SaaSpocalypse, not bring it on5h ago

Agents AI Research

AI Agent Failure Detection and Root Cause Analysis with Strands Evals

AWS BlogPublished Jun 15, 2026

Strands Evals is a framework designed to detect failures in AI agents and analyze their root causes, aiming to improve agent reliability and performance through systematic evaluation.

#ai-agents #failure-detection #root-cause-analysis #strands-evals

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