First reported thehackernews.com
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First reported substack.com
AI: ‘Forever Problems’ like Prompt Injections still being ‘Solved’. AI-RTZ #1167
An essay on the 'AI Reset to Zero' Substack argues that prompt injection and hallucinations are 'forever problems' intrinsic to probabilistic AI models, not bugs that labs can permanently 'solve,' and that the risk grows as AI agents run for days or weeks, widening the window an attacker has to inject instructions. The piece cites Anthropic's Boris Cherny and references Simon Willison's 'lethal trifecta' framing (private data, untrusted content, and external communication) as the core mechanism behind agentic data exfiltration. Details →First reported substack.com
Coding Agent Security: Lessons from Claude Code, Cowork, Codex, and Copilot in the Wild
Ken Huang's survey "Coding Agent Security" reviews documented 2025-2026 incidents involving AI coding agents (Claude Code, Cowork, Codex, Copilot, Amazon Q), including agents that deleted databases, leaked credentials, and merged malicious code after indirect prompt injection via GitHub Issues, source-code comments, or MCP tool results. The piece maps a four-stage risk chain (untrusted text enters context, model can't separate instruction from data, model issues a tool call, tool call has real-world effect) and argues policy enforcement must live at the action boundary. Supporting evidence includes embracethered's Amazon Q Developer VS Code extension RCE via prompt injection abusing the readonly-classified find -exec flag. Details →How the wire is made
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